{"id":3904,"date":"2026-08-31T12:11:49","date_gmt":"2026-08-31T12:11:49","guid":{"rendered":"https:\/\/firstfibertech.com\/?p=3904"},"modified":"2026-08-31T12:17:33","modified_gmt":"2026-08-31T12:17:33","slug":"%e5%af%b9otdr%e5%9f%ba%e6%9c%ac%e5%b7%a5%e4%bd%9c%e5%8e%9f%e7%90%86%e3%80%81%e7%a1%ac%e4%bb%b6%e6%9d%83%e8%a1%a1%e4%bb%a5%e5%8f%8a%e6%a0%b8%e5%bf%83%e6%95%b0%e5%ad%a6%e7%ae%97%e6%b3%95%e7%9a%84","status":"publish","type":"post","link":"https:\/\/firstfibertech.com\/zh\/blog\/in-depth-analysis-otdr-underlying-working-mechanisms-hardware-trade-offs-and-core-mathematical-algorithms\/","title":{"rendered":"\u6df1\u5ea6\u89e3\u6790\uff1aOTDR\u7684\u57fa\u672c\u5de5\u4f5c\u539f\u7406\u3001\u786c\u4ef6\u6743\u8861\u53ca\u6838\u5fc3\u6570\u5b66\u7b97\u6cd5"},"content":{"rendered":"

\u4f5c\u4e3a\u5149\u7ea4\u7f51\u7edc\u7684\u201c\u96f7\u8fbe\u201d\uff0c\u5176\u8bbe\u8ba1 \u5149\u65f6\u57df\u53cd\u5c04\u4eea\uff08OTDR\uff09<\/a> \u8fd9\u7edd\u4e0d\u4ec5\u4ec5\u662f\u4e00\u79cd\u7b80\u5355\u7684\u5149\u7535\u8f6c\u6362\u3002\u5728\u76f4\u63a5\u68c0\u6d4b\u67b6\u6784\u4e0b\uff0c\u5b83\u4ee3\u8868\u4e86\u5fae\u5f31\u4fe1\u53f7\u63d0\u53d6\u3001\u9ad8\u901f\u6a21\u62df\u524d\u7aef\u8bbe\u8ba1\u3001\u65f6\u949f\u6296\u52a8\u63a7\u5236\u4ee5\u53ca\u9ad8\u5ea6\u590d\u6742\u7684\u5e95\u5c42\u6570\u5b66\u7b97\u6cd5\u4e4b\u95f4\u7684\u4e00\u79cd\u7ec8\u6781\u5e73\u8861\u3002.<\/p>\n\n\n\n

\u672c\u6587\u4ece\u57fa\u7840\u7269\u7406\u6a21\u578b\u51fa\u53d1\uff0c\u8ffd\u8e2a\u5149\u4fe1\u53f7\u548c\u7535\u4fe1\u53f7\u7684\u4f20\u64ad\u8def\u5f84\uff0c\u5168\u9762\u5256\u6790\u4e86OTDR\u7684\u5de5\u4f5c\u539f\u7406\u3001\u786c\u4ef6\u74f6\u9888\u4ee5\u53ca\u56fa\u4ef6\u4e2d\u6838\u5fc3DSP\u7b97\u6cd5\u7684\u6570\u5b66-\u7269\u7406\u6a21\u578b\u3002\u5176\u76ee\u7684\u662f\u4e3aOTDR\u7814\u53d1\u5de5\u7a0b\u5e08\u63d0\u4f9b\u4e00\u4e2a\u7cfb\u7edf\u5316\u7684\u3001\u5e95\u5c42\u7684\u8bbe\u8ba1\u89c6\u89d2\u3002.<\/p>\n\n\n\n

\u7269\u7406\u5c42\u57fa\u7840\uff1a\u5149\u6563\u5c04\u4e0e\u53cd\u5c04\u7684\u6570\u5b66\u6a21\u578b<\/h2>\n\n\n\n

OTDR \u7684\u6838\u5fc3\u539f\u7406\u662f\u901a\u8fc7\u65f6\u95f4\u6d4b\u91cf\u63a8\u7b97\u7a7a\u95f4\u8ddd\u79bb\uff0c\u5e76\u901a\u8fc7\u5149\u529f\u7387\u53d8\u5316\u63a8\u65ad\u5149\u7ea4\u7684\u7269\u7406\u7279\u6027\u3002\u63a5\u6536\u7aef\u5904\u7406\u7684\u4fe1\u53f7\u4e3b\u8981\u6e90\u4e8e\u4ee5\u4e0b\u4e24\u79cd\u5149\u5b66\u73b0\u8c61\uff1a \u745e\u5229\u540e\u5411\u6563\u5c04<\/strong> \u548c \u83f2\u6d85\u5c14\u53cd\u5c04<\/strong>.<\/p>\n\n\n\n

\u745e\u5229\u540e\u5411\u6563\u5c04\u96f7\u8fbe\u65b9\u7a0b<\/h3>\n\n\n\n

\u5728\u67d0\u4e2a\u7279\u5b9a\u65f6\u523b t<\/mi>t<\/annotation><\/semantics><\/math>, \uff0c\u5fae\u5f31\u7684\u540e\u5411\u6563\u5c04\u5149\u529f\u7387 P<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>P(t)<\/annotation><\/semantics><\/math> OTDR\u63a5\u6536\u5230\u7684\u4fe1\u53f7\u53ef\u7528\u5149\u96f7\u8fbe\u65b9\u7a0b\u8868\u793a\u4e3a\uff1a<\/p>\n\n\n\n
P<\/mi>(<\/mo>t<\/mi>)<\/mo>=<\/mo>P<\/mi>0<\/mn><\/msub>\u22c5<\/mo>W<\/mi>2<\/mn><\/mfrac>\u22c5<\/mo>v<\/mi>g<\/mi><\/msub>\u22c5<\/mo>\u03b1<\/mi>s<\/mi><\/msub>\u22c5<\/mo>S<\/mi>\u22c5<\/mo>exp<\/mi>\u2061<\/mo><\/mrow>(<\/mo>\u2212<\/mo>\u03b1<\/mi>v<\/mi>g<\/mi><\/msub>t<\/mi>)<\/mo><\/mrow>P(t) = P_0 \\cdot \\frac{W}{2} \\cdot v_g \\cdot \\alpha_s \\cdot S \\cdot \\exp(-\\alpha v_g t)<\/annotation><\/semantics><\/math><\/div>\n\n\n\n

P<\/mi>0<\/mn><\/msub>P_0<\/annotation><\/semantics><\/math>: \u6fc0\u5149\u8109\u51b2\u7684\u5cf0\u503c\u529f\u7387\u3002.<\/p>\n\n\n\n

W<\/mi>W<\/annotation><\/semantics><\/math>: \u5149\u8109\u51b2\u5bbd\u5ea6\u3002.<\/p>\n\n\n\n

v<\/mi>g<\/mi><\/msub>v_g<\/annotation><\/semantics><\/math>: \u5149\u5728\u5149\u7ea4\u4e2d\u7684\u7fa4\u901f\u5ea6\u3002.<\/p>\n\n\n\n

S<\/mi>S<\/annotation><\/semantics><\/math>: \u6355\u83b7\u7387\uff0c\u5373\u80fd\u591f\u88ab\u5149\u6ce2\u5bfc\u5f15\u5bfc\u5e76\u4f20\u56de\u5149\u6e90\u7684\u6563\u5c04\u5149\u6240\u5360\u7684\u6bd4\u4f8b\uff0c\u5728\u5355\u6a21\u5149\u7ea4\u4e2d\u8be5\u6bd4\u4f8b\u6781\u4f4e\u3002.<\/p>\n\n\n\n

\u03b1<\/mi>\\alpha<\/annotation><\/semantics><\/math>: \u5149\u7ea4\u7684\u603b\u8870\u51cf\u7cfb\u6570\u3002.<\/p>\n\n\n\n

\u7814\u53d1\u6ce8\u610f\u4e8b\u9879\uff1a<\/strong> \u56e0\u4e3a S<\/mi>S<\/annotation><\/semantics><\/math> \u975e\u5e38\u5c0f\uff0c\u540e\u5411\u6563\u5c04\u5149\u529f\u7387\u901a\u5e38\u4e3a 40<\/mn> dB<\/mtext><\/mrow>40\\text{ dB}<\/annotation><\/semantics><\/math> \u5230 50<\/mn> dB<\/mtext><\/mrow>50\\text{ dB}<\/annotation><\/semantics><\/math> \u4f4e\u4e8e\u5165\u5c04\u5149\uff0c\u8fd9\u8981\u6c42\u63a5\u6536\u5668\u5177\u6709\u6781\u9ad8\u7684\u7075\u654f\u5ea6\u3002\u4e0e\u6b64\u540c\u65f6\uff0c, P<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>P(t)<\/annotation><\/semantics><\/math> \u4e0e\u8109\u51b2\u5bbd\u5ea6\u6210\u6b63\u6bd4 W<\/mi>W<\/annotation><\/semantics><\/math>, \uff0c\u8fd9\u5728\u52a8\u6001\u8303\u56f4\u4e0e\u7a7a\u95f4\u5206\u8fa8\u7387\u4e4b\u95f4\u9020\u6210\u4e86\u6839\u672c\u6027\u7684\u7269\u7406\u77db\u76fe\u3002.<\/p>\n\n\n\n

\u83f2\u6d85\u5c14\u53cd\u5c04\u4e0e\u201c\u6b7b\u533a\u201d\u7684\u6210\u56e0<\/h3>\n\n\n\n

\u5f53\u5149\u7ebf\u9047\u5230\u6298\u5c04\u7387\u4e0d\u8fde\u7eed\u7684\u8868\u9762\u65f6\uff0c\u4f1a\u53d1\u751f\u83f2\u6d85\u5c14\u53cd\u5c04\u3002\u53cd\u5c04\u7387 $R$ \u53d6\u51b3\u4e8e\u6298\u5c04\u7387\u4e4b\u5dee\uff1a<\/p>\n\n\n\n

R<\/mi>=<\/mo>(<\/mo>n<\/mi>1<\/mn><\/msub>\u2212<\/mo>n<\/mi>2<\/mn><\/msub><\/mrow>n<\/mi>1<\/mn><\/msub>+<\/mo>n<\/mi>2<\/mn><\/msub><\/mrow><\/mfrac>)<\/mo><\/mrow>2<\/mn><\/msup><\/mrow>R = \\left( \\frac{n_1 \u2013 n_2}{n_1 + n_2} \\right)^2<\/annotation><\/semantics><\/math><\/div>\n\n\n\n

\u4e8c\u6c27\u5316\u7845\u5149\u7ea4\u4e0e\u7a7a\u6c14\u4e4b\u95f4\u7684\u754c\u9762\u53cd\u5c04\u7387\u7ea6\u4e3a 3.5<\/mn>%<\/mi><\/mrow>3.5\\%<\/annotation><\/semantics><\/math> \uff08\u5173\u4e8e \u2212<\/mo>14.7<\/mn> dB<\/mtext><\/mrow>-14.7\\text{ dB}<\/annotation><\/semantics><\/math>). \u83f2\u6d85\u5c14\u53cd\u5c04\u7684\u5f3a\u5ea6\u8d85\u8fc7 30<\/mn> dB<\/mtext><\/mrow>30\\text{ dB}<\/annotation><\/semantics><\/math> \u9ad8\u4e8e\u745e\u5229\u6563\u5c04\u3002\u8fd9\u79cd\u77ac\u65f6\u7684\u5f3a\u5149\u77ac\u6001\u4f1a\u4f7f\u5149\u7535\u63a2\u6d4b\u5668\u548c\u524d\u7aef\u653e\u5927\u5668\u8fdb\u5165\u975e\u7ebf\u6027\u9971\u548c\u72b6\u6001\u3002\u786c\u4ef6\u4ece\u9971\u548c\u72b6\u6001\u6062\u590d\u5230\u7ebf\u6027\u653e\u5927\u72b6\u6001\u6240\u9700\u7684\u65f6\u95f4\uff0c\u6784\u6210\u4e86OTDR\u7684 \u76f2\u533a<\/strong>.<\/p>\n\n\n\n

\u6838\u5fc3\u786c\u4ef6\u67b6\u6784\uff1a\u53d1\u5c04\u673a\u4e0e\u6a21\u62df\u524d\u7aef\uff08AFE\uff09\u7684\u6743\u8861\u53d6\u820d<\/h2>\n\n\n\n

\u6fc0\u5149\u4e8c\u6781\u7ba1\u548c\u9a71\u52a8\u5668\uff08LD \u548c\u9a71\u52a8\u5668\uff09\uff1a<\/strong> \u7406\u60f3\u7684\u8109\u51b2\u662f\u5b8c\u5168\u65b9\u5f62\u7684\uff0c\u4f46\u5728\u5b9e\u9645\u4e2d\uff0c\u9a71\u52a8\u5668\u7684\u4e0b\u964d\u6cbf\u4f1a\u76f4\u63a5\u62c9\u957f\u4e8b\u4ef6\u6b7b\u533a\uff08EDZ\uff09\u3002 \u6b64\u5916\uff0c\u7531\u9ad8\u901f\u8109\u51b2\u8c03\u5236\u89e6\u53d1\u7684\u6ce2\u957f\u5541\u557e\u6548\u5e94\u4f1a\u5728\u9ad8\u8272\u6563\u94fe\u8def\u4e0a\u5bfc\u81f4\u8109\u51b2\u5c55\u5bbd\u3002\u53e6\u5916\uff0c\u53d7\u53d7\u6fc0\u62c9\u66fc\u6563\u5c04\uff08SRS\uff09\u7b49\u975e\u7ebf\u6027\u6548\u5e94\u7684\u9650\u5236\uff0c\u7814\u53d1\u5de5\u7a0b\u5e08\u65e0\u6cd5\u63d0\u9ad8\u5cf0\u503c\u529f\u7387 P<\/mi>0<\/mn><\/msub>P_0<\/annotation><\/semantics><\/math> \u65e0\u9650\u671f\u3002.<\/p>\n\n\n\n

\u6a21\u62df\u524d\u7aef\uff08APD \u548c TIA\uff09\uff1a<\/strong> \u9009\u7528InGaAs\u96ea\u5d29\u5149\u7535\u4e8c\u6781\u7ba1\uff08APD\uff09\uff0c\u4ee5\u5229\u7528\u5176\u5185\u90e8\u500d\u589e\u7cfb\u6570 M<\/mi>M<\/annotation><\/semantics><\/math>. \u7136\u800c\uff0c\u9ad8\u589e\u76ca\u4f1a\u5f15\u5165\u8fc7\u91cf\u566a\u58f0\u56e0\u6570 F<\/mi>F<\/annotation><\/semantics><\/math>. \u6b64\u5916\uff0c\u8be5 \u5c3e\u90e8\u6548\u5e94<\/strong>\u2014\u2014\u8fd9\u662f\u7531\u4e8eAPD\u5185\u90e8\u8f7d\u6d41\u5b50\u5728\u5f3a\u5149\u7167\u5c04\u4e0b\u65e0\u6cd5\u7acb\u5373\u590d\u5408\u6240\u81f4\u2014\u2014\u662f\u8870\u51cf\u6b7b\u533a\uff08ADZ\uff09\u6301\u7eed\u65f6\u95f4\u8fc7\u957f\u7684\u6839\u672c\u786c\u4ef6\u539f\u56e0\u3002 \u73b0\u4ee3\u8de8\u963b\u653e\u5927\u5668\uff08TIA\uff09\u91c7\u7528\u591a\u7ea7\u53ef\u53d8\u589e\u76ca\u67b6\u6784\uff08VGA\uff09\uff0c\u8fd9\u8981\u6c42\u6781\u4f4e\u7684\u7535\u8377\u6ce8\u5165\u5e72\u6270\u4ee5\u53ca\u8d85\u7cbe\u786e\u7684\u57fa\u7ebf\u62fc\u63a5\u7b97\u6cd5\u3002.<\/p>\n\n\n\n

\u9ad8\u901f\u6570\u636e\u91c7\u96c6\uff1aRTS \u4e0e ETS \u67b6\u6784\u5bf9\u6bd4<\/h2>\n\n\n\n

\u8981\u5b9e\u73b0\u6beb\u7c73\u7ea7\u68c0\u6d4b\uff0cADC\u7684\u91c7\u6837\u5206\u8fa8\u7387\u5fc5\u987b\u8fbe\u5230\u7eb3\u79d2\u751a\u81f3\u76ae\u79d2\u7ea7\u522b\u3002.<\/p>\n\n\n\n

    \n
  • \u5b9e\u65f6\u91c7\u6837\uff08RTS\uff09\uff1a<\/strong> \u91c7\u7528\u8d85\u9ad8\u901f\u6a21\u6570\u8f6c\u6362\u5668\uff08ADC\uff09\uff08> 1<\/mn> GS\/s<\/mtext><\/mrow>1 \\text{ GS\/s}<\/annotation><\/semantics><\/math>) \u4ee5\u5355\u6b21\u91c7\u6837\u6355\u83b7\u5b8c\u6574\u7684\u6ce2\u5f62\u3002\u8be5\u65b9\u6cd5\u6d4b\u8bd5\u901f\u5ea6\u5feb\uff0c\u4f46\u529f\u8017\u8f83\u9ad8\u3002\u5728\u4f4e\u7aef\u8bbe\u5907\u4e2d\uff0c\u7531\u4e8e\u91c7\u6837\u7387\u4e0d\u8db3\u5bfc\u81f4\u7684\u6570\u636e\u70b9\u7a00\u758f\uff0c\u53ef\u80fd\u4f1a\u9020\u6210\u8109\u51b2\u8fb9\u6cbf\u6a21\u7cca\u3002.<\/li>\n\n\n\n
  • \u7b49\u6548\u65f6\u95f4\u91c7\u6837\uff08ETS\uff09\uff1a<\/strong> \u91c7\u7528\u8f83\u4f4e\u91c7\u6837\u7387\u7684\u6a21\u6570\u8f6c\u6362\u5668\uff08\u4f8b\u5982\uff0c, 100<\/mn> MS\/s<\/mtext><\/mrow>100 \\text{ MS\/s}<\/annotation><\/semantics><\/math>) \u901a\u8fc7\u5f15\u5165\u5fae\u6b65\u5ef6\u8fdf (\u0394<\/mi><\/mrow>t<\/mi><\/mrow>\\Delta t<\/annotation><\/semantics><\/math>) \u6bcf\u6b21\u53d1\u5c04\u65f6\u3002\u901a\u8fc7\u6570\u5343\u4e2a\u4ea4\u9519\u91c7\u6837\uff0c\u5b83\u91cd\u5efa\u4e86\u4e00\u4e2a\u76f8\u5f53\u4e8e\u6570\u4e2a  GS\/s<\/mtext>\\text{ GS\/s}<\/annotation><\/semantics><\/math>.\n
      \n
    • \u6838\u5fc3\u6311\u6218\uff1a<\/em> \u89e6\u53d1\u6296\u52a8<\/strong> \u53d1\u5c04\u65f6\u949f\u4e0e\u91c7\u6837\u65f6\u949f\u4e4b\u95f4\u7684\u504f\u5dee\u4f1a\u76f4\u63a5\u5bfc\u81f4\u65f6\u95f4\u6a21\u7cca\u3002\u5982\u679c\u7cfb\u7edf\u6296\u52a8\u8fbe\u5230 200<\/mn> ps<\/mtext><\/mrow>200 \\text{ ps}<\/annotation><\/semantics><\/math>, \u5176\u7b49\u6548\u7a7a\u95f4\u5206\u8fa8\u7387\u4e0d\u53ef\u80fd\u4f18\u4e8e 2<\/mn> cm<\/mtext><\/mrow>2 \\text{ cm}<\/annotation><\/semantics><\/math>.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n\n\n\n

      \u57fa\u7840\u6570\u5b66\u7b97\u6cd5\u4e0eDSP\u5b9e\u73b0<\/h2>\n\n\n\n

      ADC\u91c7\u96c6\u7684\u6570\u636e\u5e8f\u5217\u4ec5\u4ec5\u662f\u5305\u542b\u6781\u9ad8\u566a\u58f0\u6210\u5206\u7684\u539f\u59cb\u6570\u5b57\u4fe1\u606f\u3002\u786e\u5b9a\u6838\u5fc3OTDR\u6307\u6807\u7684\u5173\u952e\u5728\u4e8e\u540e\u7aef\u7684\u6570\u5b66\u5efa\u6a21\u548c\u4fe1\u53f7\u5904\u7406\u7b97\u6cd5\u3002.<\/p>\n\n\n\n

      \u7a81\u7834\u5206\u8fa8\u7387\u4e0e\u52a8\u6001\u8303\u56f4\u7684\u74f6\u9888\uff1a\u6208\u83b1\u7801\u89e3\u7801<\/h3>\n\n\n\n

      \u4e3a\u4e86\u5728\u4e0d\u589e\u52a0\u5cf0\u503c\u529f\u7387\u7684\u60c5\u51b5\u4e0b\u63d0\u9ad8\u6ce8\u5165\u80fd\u91cf\uff0c\u73b0\u4ee3OTDR\u91c7\u7528\u4e92\u8865\u6208\u83b1\u7801\u8fdb\u884c\u8109\u51b2\u7f16\u7801\u3002\u5bf9\u4e8e\u4e00\u5bf9\u4e92\u8865\u6208\u83b1\u5e8f\u5217 A<\/mi>A<\/annotation><\/semantics><\/math> \u548c B<\/mi>B<\/annotation><\/semantics><\/math> \u957f\u5ea6 L<\/mi>L<\/annotation><\/semantics><\/math>, \u5b83\u4eec\u7684\u81ea\u76f8\u5173\u51fd\u6570 C<\/mi>A<\/mi>A<\/mi><\/mrow><\/msub>C_{AA}<\/annotation><\/semantics><\/math> \u548c C<\/mi>B<\/mi>B<\/mi><\/mrow><\/msub>C_{BB}<\/annotation><\/semantics><\/math> \u6ee1\u8db3\uff1a<\/p>\n\n\n\n
      C<\/mi>A<\/mi>A<\/mi><\/mrow><\/msub>(<\/mo>k<\/mi>)<\/mo>+<\/mo>C<\/mi>B<\/mi>B<\/mi><\/mrow><\/msub>(<\/mo>k<\/mi>)<\/mo>=<\/mo>2<\/mn>L<\/mi>\u22c5<\/mo>\u03b4<\/mi>(<\/mo>k<\/mi>)<\/mo><\/mrow>C_{AA}(k) + C_{BB}(k) = 2L \\cdot \\delta(k)<\/annotation><\/semantics><\/math><\/div>\n\n\n\n

      FPGA\u89e3\u7801\u5b9e\u73b0\uff1a<\/strong> OTDR \u4f9d\u6b21\u53d1\u9001\u5e8f\u5217 A<\/mi>A<\/annotation><\/semantics><\/math> \u548c B<\/mi>B<\/annotation><\/semantics><\/math>, \uff0c\u800c\u63a5\u6536\u5230\u7684\u540e\u5411\u6563\u5c04\u4fe1\u53f7\u662f Y<\/mi>A<\/mi><\/msub>Y_A<\/annotation><\/semantics><\/math> \u548c Y<\/mi>B<\/mi><\/msub>Y_B<\/annotation><\/semantics><\/math>. \u5728DSP\u4e2d\uff0c\u65f6\u95f4\u53cd\u8f6c\u5e8f\u5217 A<\/mi>r<\/mi>e<\/mi>v<\/mi><\/mrow><\/msub>A_{rev}<\/annotation><\/semantics><\/math> \u548c B<\/mi>r<\/mi>e<\/mi>v<\/mi><\/mrow><\/msub>B_{rev}<\/annotation><\/semantics><\/math> \u5206\u522b\u4e0e\u63a5\u6536\u4fe1\u53f7\u8fdb\u884c\u5377\u79ef\uff08\u4e92\u76f8\u5173\uff09\u5e76\u6c42\u548c\uff1a<\/p>\n\n\n\n
      X<\/mi>e<\/mi>s<\/mi>t<\/mi><\/mrow><\/msub>=<\/mo>(<\/mo>Y<\/mi>A<\/mi><\/msub>\u2217<\/mo>A<\/mi>r<\/mi>e<\/mi>v<\/mi><\/mrow><\/msub>)<\/mo>+<\/mo>(<\/mo>Y<\/mi>B<\/mi><\/msub>\u2217<\/mo>B<\/mi>r<\/mi>e<\/mi>v<\/mi><\/mrow><\/msub>)<\/mo><\/mrow>2<\/mn>L<\/mi><\/mrow><\/mfrac><\/mrow>X_{est} = \\frac{(Y_A * A_{rev}) + (Y_B * B_{rev})}{2L}<\/annotation><\/semantics><\/math><\/div>\n\n\n\n

      \u5f97\u76ca\u4e8e\u4e92\u8865\u7279\u6027\uff0c\u65c1\u74e3\u5e72\u6270\u88ab\u5b8c\u5168\u62b5\u6d88\uff0c\u56e0\u6b64\u4e0e\u5355\u8109\u51b2\u76f8\u6bd4\uff0c\u4fe1\u566a\u6bd4\uff08SNR\uff09\u5f97\u5230\u4e86\u663e\u8457\u63d0\u5347\u3002\u96be\u70b9\u5728\u4e8e\u786e\u4fdd\u6fc0\u5149\u9a71\u52a8\u5668\u7684\u7edd\u5bf9\u7ebf\u6027\u5ea6\uff1b\u5426\u5219\uff0c\u65e0\u6cd5\u5c06\u65c1\u74e3\u5b8c\u5168\u62b5\u6d88\u3002.<\/p>\n\n\n\n

      \u9ad8\u7cbe\u5ea6\u526a\u63a5\u635f\u5931\u63d0\u53d6\uff1aLSA\u7684\u77e9\u9635\u5efa\u6a21<\/h3>\n\n\n\n

      \u5bf9\u4e8e\u63a5\u5934\u635f\u8017\u7684\u63d0\u53d6\uff0cOTDR \u5fc5\u987b\u5728\u4e8b\u4ef6\u70b9\u4e24\u4fa7\u7684\u5bf9\u6570\u57df\u4e2d\u5bf9\u7ebf\u6027\u533a\u57df\u8fdb\u884c\u91c7\u6837\uff0c\u5e76\u4f7f\u7528\u6700\u5c0f\u4e8c\u4e58\u62df\u5408\uff08LSA\uff09\u6765\u62df\u5408\u76f4\u7ebf\u3002.
      \u5217\u51fa\u77e9\u9635\u65b9\u7a0b \ud835\udc18<\/mi>=<\/mo>\ud835\udc17<\/mi>\ud835\udec3<\/mi>+<\/mo>\ud835\udedc<\/mi><\/mrow>\\mathbf{Y} = \\mathbf{X}\\mathbf{\\beta} + \\mathbf{\\epsilon}<\/annotation><\/semantics><\/math>. \u4f7f\u8bef\u5dee\u5e73\u65b9\u548c\u6700\u5c0f\u7684\u89e3\u6790\u89e3\u4e3a\uff1a<\/p>\n\n\n\n
      \ud835\udec3<\/mi>=<\/mo>(<\/mo>\ud835\udc17<\/mi>T<\/mi><\/msup>\ud835\udc17<\/mi>)<\/mo>\u2212<\/mo>1<\/mn><\/mrow><\/msup>\ud835\udc17<\/mi>T<\/mi><\/msup>\ud835\udc18<\/mi><\/mrow>\\mathbf{\\beta} = (\\mathbf{X}^T \\mathbf{X})^{-1} \\mathbf{X}^T \\mathbf{Y}<\/annotation><\/semantics><\/math><\/div>\n\n\n\n

      \u7b97\u6cd5\u65b9\u9762\u7684\u8003\u8651\uff1a<\/strong> \u5728\u5d4c\u5165\u5f0f\u7cfb\u7edf\u4e0a\u901a\u8fc7\u76f4\u63a5\u77e9\u9635\u6c42\u9006\u6765\u5b9e\u65f6\u6c42\u89e3\u5927\u89c4\u6a21LSA\u95ee\u9898\u4f1a\u5e26\u6765\u5de8\u5927\u7684\u5f00\u9500\u3002\u7531\u4e8e\u91c7\u6837\u5750\u6807 X<\/mi>X<\/annotation><\/semantics><\/math> \u5982\u679c\u5b83\u4eec\u7684\u95f4\u8ddd\u5747\u5300\uff0c\u5219\u8be5\u77e9\u9635 (<\/mo>\ud835\udc17<\/mi>T<\/mi><\/msup>\ud835\udc17<\/mi>)<\/mo>\u2212<\/mo>1<\/mn><\/mrow><\/msup>\ud835\udc17<\/mi>T<\/mi><\/msup><\/mrow>(\\mathbf{X}^T \\mathbf{X})^{-1} \\mathbf{X}^T\uff08\u7b80\u4f53\u4e2d\u6587\uff08\u5927\u9646\uff09\uff09<\/annotation><\/semantics><\/math> \u53ef\u4ee5\u5728\u521d\u59cb\u5316\u8fc7\u7a0b\u4e2d\u9884\u5148\u8ba1\u7b97\u4e3a\u5e38\u91cf\u6ee4\u6ce2\u7cfb\u6570\uff0c\u4ece\u800c\u5c06\u590d\u6742\u7684\u56de\u5f52\u8fc7\u7a0b\u8f6c\u5316\u4e3a\u9ad8\u6548\u7684\u4e58\u79ef\u7d2f\u52a0\uff08MAC\uff09\u8fd0\u7b97\u3002.<\/p>\n\n\n\n

      \u7a81\u7834\u201c\u6b7b\u533a\u201d\u538b\u7f29\u7684\u6781\u9650\uff1a\u7ef4\u7eb3\u53cd\u5377\u79ef<\/h3>\n\n\n\n

      OTDR\u7684\u8f93\u51fa\u4fe1\u53f7 Y<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>Y(t)<\/annotation><\/semantics><\/math> \u662f\u53d1\u5c04\u8109\u51b2\u5377\u79ef\u548c P<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>P(t)<\/annotation><\/semantics><\/math>, \uff0c\u7cfb\u7edf\u7684\u51b2\u6fc0\u54cd\u5e94 H<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>H(t)<\/annotation><\/semantics><\/math>, \uff0c\u4ee5\u53ca\u771f\u6b63\u7684\u7269\u7406\u5206\u5e03 X<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>X(t)<\/annotation><\/semantics><\/math>, \uff0c\u52a0\u4e0a\u566a\u58f0 N<\/mi>(<\/mo>t<\/mi>)<\/mo><\/mrow>N(t)<\/annotation><\/semantics><\/math>. \u5728\u9891\u57df\u4e2d\uff0c\u8fd9\u8868\u793a\u4e3a Y<\/mi>(<\/mo>f<\/mi>)<\/mo>=<\/mo>S<\/mi>(<\/mo>f<\/mi>)<\/mo>X<\/mi>(<\/mo>f<\/mi>)<\/mo>+<\/mo>N<\/mi>(<\/mo>f<\/mi>)<\/mo><\/mrow>Y(f) = S(f)X(f) + N(f)<\/annotation><\/semantics><\/math>. \u4e3a\u4e86\u6062\u590d\u9510\u5ea6 X<\/mi>(<\/mo>f<\/mi>)<\/mo>f<\/mi>r<\/mi>o<\/mi>m<\/mi>Y<\/mi>(<\/mo>f<\/mi>)<\/mo><\/mrow>X(f) \u6765\u81ea Y(f)<\/annotation><\/semantics><\/math>, a \u7ef4\u7eb3\u6ee4\u6ce2\u5668 G<\/mi>(<\/mo>f<\/mi>)<\/mo><\/mrow>G(f)<\/annotation><\/semantics><\/math><\/strong> \u4ecb\u7ecd\u4e86\uff1a<\/p>\n\n\n\n
      G<\/mi>(<\/mo>f<\/mi>)<\/mo>=<\/mo>S<\/mi>\u2217<\/mo><\/msup>(<\/mo>f<\/mi>)<\/mo><\/mrow>|<\/mi><\/mrow>S<\/mi>(<\/mo>f<\/mi>)<\/mo>|<\/mi><\/mrow>2<\/mn><\/msup>+<\/mo>P<\/mi>n<\/mi><\/msub>(<\/mo>f<\/mi>)<\/mo><\/mrow>P<\/mi>x<\/mi><\/msub>(<\/mo>f<\/mi>)<\/mo><\/mrow><\/mfrac><\/mrow><\/mfrac><\/mrow>G(f) = \\frac{S^*(f)}{\\vert{}S(f)\\vert{}^2 + \\frac{P_n(f)}{P_x(f)}}<\/annotation><\/semantics><\/math><\/div>\n\n\n\n

      \u91cd\u5efa\u540e\u7684\u7ea4\u7ef4\u5206\u5e03\u5982\u4e0b\uff1a X<\/mi>^<\/mo><\/mover>(<\/mo>f<\/mi>)<\/mo>=<\/mo>G<\/mi>(<\/mo>f<\/mi>)<\/mo>Y<\/mi>(<\/mo>f<\/mi>)<\/mo><\/mrow>\\hat{X}(f) = G(f)Y(f)<\/annotation><\/semantics><\/math>. \u7b97\u6cd5\u65b9\u9762\u7684\u8003\u8651\uff1a<\/strong> \u5f53\u4fe1\u566a\u6bd4\uff08SNR\uff09\u8f83\u9ad8\u65f6\uff0c\u8be5\u7b97\u6cd5\u53ef\u5927\u5e45\u538b\u7f29\u8109\u51b2\u5c3e\u90e8\uff08\u4ece\u800c\u7f29\u77ed\u6b7b\u533a\uff09\uff1b\u5f53\u4fe1\u566a\u6bd4\u8f83\u4f4e\u65f6\uff0c\u5b83\u4f1a\u81ea\u52a8\u9000\u5316\u4e3a\u4f4e\u901a\u6ee4\u6ce2\u5668\u4ee5\u6291\u5236 \u94c3\u58f0\u4f2a\u5f71<\/strong>.<\/p>\n\n\n\n

      \u590d\u6742\u5149\u5b66\u5f02\u5e38\u8bca\u65ad\u7b97\u6cd5<\/h2>\n\n\n\n

      \u6d88\u9664\u9b3c\u5f71<\/h3>\n\n\n\n

      \u5728\u591a\u8fde\u63a5\u5668\u94fe\u8def\u4e2d\uff0c\u5149\u5728\u4e24\u4e2a\u9ad8\u53cd\u5c04\u7387\u8282\u70b9\u4e4b\u95f4\u6765\u56de\u53cd\u5c04\uff0c\u4ece\u800c\u4ea7\u751f\u4f2a\u53cd\u5c04\u5cf0\u3002.<\/p>\n\n\n\n

      \u6570\u5b66\u8868\u5f81\uff1a<\/strong> \u8be5\u7b97\u6cd5\u4f1a\u626b\u63cf\u4e8b\u4ef6\u8868\uff0c\u5e76\u6267\u884c\u4ea4\u53c9\u76f8\u5173\u8ddd\u79bb\u5339\u914d\u3002\u5982\u679c\u67d0\u4e2a\u4e8b\u4ef6\u8ddd\u79bb\u6ee1\u8db3 L<\/mi>g<\/mi>h<\/mi>o<\/mi>s<\/mi>t<\/mi><\/mrow><\/msub>\u2248<\/mo>2<\/mn>L<\/mi>1<\/mn><\/msub><\/mrow>L_{ghost} \u2248 2 L_1<\/annotation><\/semantics><\/math> \u6216 L<\/mi>1<\/mn><\/msub>+<\/mo>L<\/mi>2<\/mn><\/msub><\/mrow>L_1 + L_2<\/annotation><\/semantics><\/math> \u4ee5\u53ca\u5c40\u90e8\u635f\u8017 \u0394<\/mi><\/mrow>L<\/mi>o<\/mi>s<\/mi>s<\/mi>\u2264<\/mo>0<\/mn> dB<\/mtext><\/mrow>\\Delta Loss \\le 0 \\text{ dB}<\/annotation><\/semantics><\/math>, \u5b83\u4f1a\u88ab\u6807\u8bb0\u4e3a\u201c\u5e7d\u7075\u201d artifact \u5e76\u88ab\u8fc7\u6ee4\u6389\u3002.<\/p>\n\n\n\n

      \u53cc\u6ce2\u957f\u5dee\u5206\u8868\u5f81\uff1a\u5b8f\u89c2\u5f2f\u66f2\u8bca\u65ad<\/h3>\n\n\n\n

      \u901a\u8fc7\u5229\u7528\u4e0d\u540c\u6ce2\u957f\u4e0b\u6a21\u573a\u76f4\u5f84\uff08MFD\uff09\u7684\u7269\u7406\u5dee\u5f02\uff0c\u8be5\u7cfb\u7edf\u80fd\u591f\u533a\u5206\u52a3\u8d28\u7194\u63a5\u70b9\u548c\u5149\u7ea4\u5f2f\u66f2\u3002.<\/p>\n\n\n\n

      \u8bca\u65ad\u903b\u8f91\uff1a<\/strong> \u5bf9\u9f50\u7a7a\u95f4\u5750\u6807 X<\/mi>X<\/annotation><\/semantics><\/math> \u7684 1310<\/mn> nm<\/mtext><\/mrow>1310 \\text{ nm}<\/annotation><\/semantics><\/math> \u548c 1550<\/mn> nm<\/mtext><\/mrow>1550 \\text{ nm}<\/annotation><\/semantics><\/math> \u901a\u8fc7\u7fa4\u6298\u5c04\u7387\u8865\u507f\u8fdb\u884c\u8ffd\u8e2a\u3002\u8ba1\u7b97\u540c\u4e00\u4f4d\u7f6e\u5904LSA\u635f\u8017\u7684\u5dee\u5f02\uff1a \u03b4<\/mi>=<\/mo>L<\/mi>o<\/mi>s<\/mi>s<\/mi>1550<\/mn><\/msub>(<\/mo>X<\/mi>)<\/mo>\u2212<\/mo>L<\/mi>o<\/mi>s<\/mi>s<\/mi>1310<\/mn><\/msub>(<\/mo>X<\/mi>)<\/mo><\/mrow>\\delta = Loss_{1550}(X) \u2013 Loss_{1310}(X)<\/annotation><\/semantics><\/math>. \u5982\u679c \u03b4<\/mi>\\delta<\/annotation><\/semantics><\/math> \u8d85\u8fc7\u67d0\u4e2a\u9608\u503c\uff08\u4f8b\u5982\uff0c, 1<\/mn> dB<\/mtext><\/mrow>1 \\text{ dB}<\/annotation><\/semantics><\/math>)\uff0c\u6839\u636e\u201c\u6ce2\u957f\u8d8a\u957f\uff0c\u8d8a\u5bb9\u6613\u4ece\u5305\u5c42\u4e2d\u9038\u51fa\u201d\u8fd9\u4e00\u89c4\u5f8b\uff0c\u8be5\u73b0\u8c61\u88ab\u5f52\u7c7b\u4e3a\u201c\u5b8f\u89c2\u5f2f\u66f2\u201d\u3002.<\/p>\n\n\n\n

      \u6280\u672f\u79ef\u7d2f\u4e0d\u65ad\u7a81\u7834\u6781\u9650<\/h2>\n\n\n\n

      \u7531\u4e8eOTDR\u7684\u57fa\u672c\u8bbe\u8ba1\u6d89\u53ca\u5982\u6b64\u590d\u6742\u7684\u786c\u4ef6\u6743\u8861\u548c\u6df1\u5965\u7684\u6570\u5b66-\u7269\u7406\u7b97\u6cd5\uff0c\u56e0\u6b64\u8981\u7814\u5236\u51fa\u9ad8\u6027\u80fd\u3001\u9ad8\u53ef\u9760\u6027\u7684\u6d4b\u91cf\u4eea\u5668\uff0c\u9700\u8981\u957f\u671f\u3001\u7cfb\u7edf\u7684\u5de5\u7a0b\u79ef\u7d2f\u3002 \u4ece\u6291\u5236APD\u5c3e\u6548\u5e94\u7684\u9ad8\u7cbe\u5ea6\u6a21\u62df\u7535\u8def\uff0c\u5230FPGA\u4e2d\u7684\u7eb3\u79d2\u7ea7\u65f6\u5e8f\u540c\u6b65\uff0c\u518d\u5230\u6d88\u9664\u632f\u94c3\u4f2a\u5f71\u7684\u53bb\u5377\u79ef\u6a21\u578b\u2014\u2014\u6bcf\u4e00\u4e2a\u7ec6\u8282\u90fd\u51b3\u5b9a\u4e86\u4ea7\u54c1\u7684\u6700\u7ec8\u6027\u80fd\u4e0a\u9650\u3002.<\/p>\n\n\n\n

      \u7684\u6280\u672f\u56e2\u961f\u5728 \u7532\u5149\u901a\u4fe1<\/a><\/strong> 20\u591a\u5e74\u6765\uff0c\u8be5\u516c\u53f8\u4e00\u76f4\u6df1\u5165\u94bb\u7814OTDR\u7684\u6838\u5fc3\u7b97\u6cd5\u548c\u5236\u9020\u5de5\u827a\u3002\u51ed\u501f\u5bf9\u4f4e\u7ea7\u5149\u7535\u67b6\u6784\u548c\u5148\u8fdbDSP\u7b97\u6cd5\u7684\u6df1\u523b\u7406\u89e3\uff0cFirstFiber Technologies\u4e0d\u4ec5\u7a81\u7834\u4e86\u4f20\u7edf\u4eea\u5668\u7684\u6027\u80fd\u74f6\u9888\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e13\u4e1a\u7684 \u5b9a\u5236\u670d\u52a1<\/a>, \uff0c\u81f4\u529b\u4e8e\u6ee1\u8db3\u6700\u4e25\u82db\u3001\u6700\u524d\u6cbf\u7684\u6d4b\u8bd5\u573a\u666f\u7684\u9700\u6c42\u3002.<\/p>\n\n\n\n

      \"8000MAX<\/figure>\n\n\n\n

      <\/p>","protected":false},"excerpt":{"rendered":"

      \u4f5c\u4e3a\u5149\u7ea4\u7f51\u7edc\u7684\u201c\u96f7\u8fbe\u201d\uff0c\u5149\u65f6\u57df\u53cd\u5c04\u4eea\uff08OTDR\uff09\u7684\u8bbe\u8ba1\u8fdc\u4e0d\u6b62\u662f\u7b80\u5355\u7684\u5149\u7535\u8f6c\u6362\u3002 \u5728\u76f4\u63a5\u68c0\u6d4b\u67b6\u6784\u4e0b\uff0c\u5b83\u5728\u5fae\u5f31\u4fe1\u53f7\u63d0\u53d6\u3001\u9ad8\u901f\u6a21\u62df\u524d\u7aef\u8bbe\u8ba1\u3001\u65f6\u949f\u6296\u52a8\u63a7\u5236\u4ee5\u53ca\u9ad8\u5ea6\u590d\u6742\u7684\u5e95\u5c42\u6570\u5b66\u7b97\u6cd5\u4e4b\u95f4\u5b9e\u73b0\u4e86\u6781\u81f4\u7684\u5e73\u8861\u3002\u4ece\u57fa\u7840\u7269\u7406\u539f\u7406\u51fa\u53d1\u2026\u2026 \u9605\u8bfb\u66f4\u591a<\/a><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[98],"tags":[],"class_list":["post-3904","post","type-post","status-publish","format-standard","hentry","category-otdr-wiki"],"_links":{"self":[{"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/posts\/3904","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/comments?post=3904"}],"version-history":[{"count":3,"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/posts\/3904\/revisions"}],"predecessor-version":[{"id":3909,"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/posts\/3904\/revisions\/3909"}],"wp:attachment":[{"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/media?parent=3904"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/categories?post=3904"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/firstfibertech.com\/zh\/wp-json\/wp\/v2\/tags?post=3904"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}