{"id":66279,"date":"2026-01-26T15:05:04","date_gmt":"2026-01-26T07:05:04","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/66279.html"},"modified":"2026-01-26T15:05:04","modified_gmt":"2026-01-26T07:05:04","slug":"%e3%80%90%e4%bf%a1%e9%81%93%e4%bc%b0%e8%ae%a1%e3%80%91%e5%9f%ba%e4%ba%8e%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e5%ae%9e%e7%8e%b0ofdmqpsk%e9%93%be%e8%b7%af%e4%bf%a1%e9%81%93%e4%bc%b0%e8%ae%a1%e5%92%8c","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/66279.html","title":{"rendered":"\u3010\u4fe1\u9053\u4f30\u8ba1\u3011\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u5b9e\u73b0OFDM+QPSK\u94fe\u8def\u4fe1\u9053\u4f30\u8ba1\u548c\u5747\u8861\u7b97\u6cd5\u8bef\u7801\u7387\u4eff\u771f\uff08\u542bLS MMSE LMMSE\uff09\u7814\u7a76\uff08Matlab\u4ee3\u7801\u5b9e\u73b0\uff09"},"content":{"rendered":"<p>\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0&#x1f4a5;&#x1f4a5;&#x1f49e;&#x1f49e;\u6b22\u8fce\u6765\u5230\u672c\u535a\u5ba2\u2764\ufe0f\u2764\ufe0f&#x1f4a5;&#x1f4a5;<\/p>\n<\/p>\n<\/p>\n<p>&#x1f3c6;\u535a\u4e3b\u4f18\u52bf&#xff1a;&#x1f31e;&#x1f31e;&#x1f31e;\u535a\u5ba2\u5185\u5bb9\u5c3d\u91cf\u505a\u5230\u601d\u7ef4\u7f1c\u5bc6&#xff0c;\u903b\u8f91\u6e05\u6670&#xff0c;\u4e3a\u4e86\u65b9\u4fbf\u8bfb\u8005\u3002<\/p>\n<\/p>\n<p>\u26f3\ufe0f\u5ea7\u53f3\u94ed&#xff1a;\u884c\u767e\u91cc\u8005&#xff0c;\u534a\u4e8e\u4e5d\u5341\u3002<\/p>\n<\/p>\n<p>&#x1f4cb;&#x1f4cb;&#x1f4cb;\u672c\u6587\u5185\u5bb9\u5982\u4e0b&#xff1a;&#x1f381;&#x1f381;&#x1f381;<\/p>\n<h3 id=\"%C2%A0%E2%9B%B3%EF%B8%8F%E8%B5%A0%E4%B8%8E%E8%AF%BB%E8%80%85\">\u00a0\u26f3\ufe0f\u8d60\u4e0e\u8bfb\u8005<\/h3>\n<p>&#x1f468;\u200d&#x1f4bb;\u505a\u79d1\u7814&#xff0c;\u6d89\u53ca\u5230\u4e00\u4e2a\u6df1\u5728\u7684\u601d\u60f3\u7cfb\u7edf&#xff0c;\u9700\u8981\u79d1\u7814\u8005\u903b\u8f91\u7f1c\u5bc6&#xff0c;\u8e0f\u5b9e\u8ba4\u771f&#xff0c;\u4f46\u662f\u4e0d\u80fd\u53ea\u662f\u52aa\u529b&#xff0c;\u5f88\u591a\u65f6\u5019\u501f\u529b\u6bd4\u52aa\u529b\u66f4\u91cd\u8981&#xff0c;\u7136\u540e\u8fd8\u8981\u6709\u4ef0\u671b\u661f\u7a7a\u7684\u521b\u65b0\u70b9\u548c\u542f\u53d1\u70b9\u3002\u5efa\u8bae\u8bfb\u8005\u6309\u76ee\u5f55\u6b21\u5e8f\u9010\u4e00\u6d4f\u89c8&#xff0c;\u514d\u5f97\u9aa4\u7136\u8dcc\u5165\u5e7d\u6697\u7684\u8ff7\u5bab\u627e\u4e0d\u5230\u6765\u65f6\u7684\u8def&#xff0c;\u5b83\u4e0d\u8db3\u4e3a\u4f60\u63ed\u793a\u5168\u90e8\u95ee\u9898\u7684\u7b54\u6848&#xff0c;\u4f46\u82e5\u80fd\u89e3\u7b54\u4f60\u80f8\u4e2d\u5347\u8d77\u7684\u4e00\u6735\u6735\u7591\u4e91&#xff0c;\u4e5f\u672a\u5c1d\u4e0d\u4f1a\u917f\u6210\u665a\u971e\u6591\u6593\u7684\u522b\u4e00\u756a\u666f\u81f4&#xff0c;\u4e07\u4e00\u5b83\u7ed9\u4f60\u5e26\u6765\u4e86\u4e00\u573a\u7cbe\u795e\u4e16\u754c\u7684\u82e6\u96e8&#xff0c;\u90a3\u5c31\u501f\u673a\u6d17\u5237\u4e00\u4e0b\u539f\u6765\u5b58\u653e\u5728\u90a3\u513f\u7684\u201c\u8eba\u5e73\u201d\u4e0a\u7684\u5c18\u57c3\u5427\u3002<\/p>\n<p>\u00a0 \u00a0 \u00a0\u6216\u8bb8&#xff0c;\u96e8\u8fc7\u4e91\u6536&#xff0c;\u795e\u9a70\u7684\u5929\u5730\u66f4\u6e05\u6717&#8230;&#8230;.&#x1f50e;&#x1f50e;&#x1f50e;<\/p>\n<h3 id=\"%F0%9F%92%A51%20%E6%A6%82%E8%BF%B0\">&#x1f4a5;1 \u6982\u8ff0<\/h3>\n<h2>\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684OFDM&#043;QPSK\u94fe\u8def\u4fe1\u9053\u4f30\u8ba1\u4e0e\u5747\u8861\u7b97\u6cd5\u8bef\u7801\u7387\u4eff\u771f\u7814\u7a76<\/h2>\n<h3>\u6458\u8981<\/h3>\n<p id=\"\">\u672c\u6587\u9488\u5bf9OFDM&#043;QPSK\u901a\u4fe1\u7cfb\u7edf&#xff0c;\u6784\u5efa\u4e86\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u4fe1\u9053\u4f30\u8ba1\u4e0e\u5747\u8861\u6846\u67b6&#xff0c;\u901a\u8fc7\u8bef\u7801\u7387&#xff08;BER&#xff09;\u4eff\u771f\u5bf9\u6bd4\u4f20\u7edfLS\u3001MMSE\u3001LMMSE\u7b97\u6cd5\u7684\u6027\u80fd\u3002\u4eff\u771f\u7ed3\u679c\u8868\u660e&#xff0c;\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u4f4e\u4fe1\u566a\u6bd4&#xff08;SNR&#xff09;\u548c\u5feb\u53d8\u4fe1\u9053\u573a\u666f\u4e0b\u53ef\u964d\u4f4e\u8bef\u7801\u7387&#xff0c;\u5c24\u5176\u5728\u591a\u5f84\u65f6\u5ef6\u6269\u5c55\u8d85\u8fc7\u5faa\u73af\u524d\u7f00&#xff08;CP&#xff09;\u957f\u5ea6\u65f6&#xff0c;\u6df1\u5ea6\u5b66\u4e60\u65b9\u6848\u8f83\u4f20\u7edfLS\u7b97\u6cd5\u8bef\u7801\u7387\u4e0b\u964d\u663e\u8457\u3002\u7814\u7a76\u4e3a5G\/6G\u9ad8\u52a8\u6001\u573a\u666f\u4e0b\u7684\u4fe1\u9053\u4f30\u8ba1\u63d0\u4f9b\u4e86\u65b0\u601d\u8def\u3002<\/p>\n<h3>1. \u5f15\u8a00<\/h3>\n<h4>1.1 \u7814\u7a76\u80cc\u666f<\/h4>\n<p id=\"\">OFDM\u6280\u672f\u901a\u8fc7\u6b63\u4ea4\u5b50\u8f7d\u6ce2\u5e76\u884c\u4f20\u8f93\u6570\u636e&#xff0c;\u6709\u6548\u5bf9\u6297\u591a\u5f84\u8870\u843d&#xff0c;\u5df2\u6210\u4e3a5G\/6G\u7684\u6838\u5fc3\u6280\u672f\u3002\u4fe1\u9053\u4f30\u8ba1\u4f5c\u4e3a\u63a5\u6536\u7aef\u7684\u5173\u952e\u73af\u8282&#xff0c;\u5176\u7cbe\u5ea6\u76f4\u63a5\u5f71\u54cd\u5747\u8861\u548c\u89e3\u8c03\u6027\u80fd\u3002\u4f20\u7edf\u7b97\u6cd5&#xff08;\u5982LS\u3001MMSE&#xff09;\u5728\u4f4eSNR\u6216\u5bfc\u9891\u8d44\u6e90\u53d7\u9650\u65f6\u6027\u80fd\u53d7\u9650&#xff0c;\u800c\u6df1\u5ea6\u5b66\u4e60\u51ed\u501f\u975e\u7ebf\u6027\u62df\u5408\u80fd\u529b&#xff0c;\u4e3a\u590d\u6742\u4fe1\u9053\u73af\u5883\u4e0b\u7684\u53c2\u6570\u4f30\u8ba1\u63d0\u4f9b\u4e86\u65b0\u89e3\u51b3\u65b9\u6848\u3002<\/p>\n<h4>1.2 \u7814\u7a76\u76ee\u6807<\/h4>\n<li>\u6784\u5efa\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684OFDM&#043;QPSK\u4fe1\u9053\u4f30\u8ba1\u4e0e\u5747\u8861\u6a21\u578b\u3002<\/li>\n<li>\u901a\u8fc7\u8bef\u7801\u7387\u4eff\u771f\u5bf9\u6bd4\u4f20\u7edf\u7b97\u6cd5&#xff08;LS\u3001MMSE\u3001LMMSE&#xff09;\u7684\u6027\u80fd\u5dee\u5f02\u3002<\/li>\n<li>\u5206\u6790\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u5feb\u53d8\u4fe1\u9053\u3001\u591a\u5f84\u6269\u5c55\u7b49\u573a\u666f\u4e0b\u7684\u4f18\u52bf\u3002<\/li>\n<h3>2. \u7cfb\u7edf\u6a21\u578b\u4e0e\u7b97\u6cd5\u539f\u7406<\/h3>\n<h4>2.1 OFDM&#043;QPSK\u7cfb\u7edf\u6a21\u578b<\/h4>\n<li>\u53d1\u9001\u7aef&#xff1a;\n<ul>\n<li>\u6570\u636e\u6d41\u7ecfQPSK\u8c03\u5236\u751f\u6210\u590d\u6570\u7b26\u53f7&#xff0c;\u6620\u5c04\u81f3OFDM\u5b50\u8f7d\u6ce2\u3002<\/li>\n<li>\u63d2\u5165\u5bfc\u9891\u7b26\u53f7\u540e\u8fdb\u884cIFFT\u53d8\u6362&#xff0c;\u6dfb\u52a0\u5faa\u73af\u524d\u7f00&#xff08;CP&#xff09;\u4ee5\u5bf9\u6297\u591a\u5f84\u5e72\u6270\u3002<\/li>\n<li>\u4fe1\u53f7\u901a\u8fc7\u591a\u5f84\u4fe1\u9053\u5e76\u53e0\u52a0\u9ad8\u65af\u767d\u566a\u58f0&#xff08;AWGN&#xff09;\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u63a5\u6536\u7aef&#xff1a;\n<ul>\n<li>\u53bb\u9664CP\u540e\u8fdb\u884cFFT\u53d8\u6362&#xff0c;\u63d0\u53d6\u5bfc\u9891\u7b26\u53f7\u8fdb\u884c\u4fe1\u9053\u4f30\u8ba1\u3002<\/li>\n<li>\u57fa\u4e8e\u4f30\u8ba1\u7ed3\u679c\u8bbe\u8ba1\u5747\u8861\u5668&#xff0c;\u6062\u590d\u539f\u59cb\u6570\u636e\u7b26\u53f7\u3002<\/li>\n<\/ul>\n<\/li>\n<h4>2.2 \u4f20\u7edf\u4fe1\u9053\u4f30\u8ba1\u7b97\u6cd5<\/h4>\n<li>LS\u7b97\u6cd5&#xff1a;\n<ul>\n<li>\n<p id=\"\">\u539f\u7406&#xff1a;\u6700\u5c0f\u5316\u5bfc\u9891\u4f4d\u7f6e\u8bef\u5dee\u5e73\u65b9\u548c&#xff0c;\u4f30\u8ba1\u503c\u516c\u5f0f\u4e3a&#xff1a;<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"96\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121f1dab8.png\" width=\"610\" \/><\/p>\n<ul>\n<li>\u7279\u70b9&#xff1a;\u590d\u6742\u5ea6\u4f4e&#xff0c;\u4f46\u5bf9\u566a\u58f0\u654f\u611f&#xff0c;SNR\u8f83\u4f4e\u65f6\u6027\u80fd\u4e0b\u964d\u660e\u663e\u3002<\/li>\n<\/ul>\n<li>MMSE\u7b97\u6cd5&#xff1a;\n<ul>\n<li>\n<p id=\"\">\u539f\u7406&#xff1a;\u5229\u7528\u4fe1\u9053\u7edf\u8ba1\u7279\u6027&#xff08;\u5982\u81ea\u76f8\u5173\u77e9\u9635&#xff09;\u6700\u5c0f\u5316\u5747\u65b9\u8bef\u5dee&#xff0c;\u4f30\u8ba1\u503c\u516c\u5f0f\u4e3a&#xff1a;<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"132\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121f385ed.png\" width=\"728\" \/><\/p>\n<ul>\n<li>\u7279\u70b9&#xff1a;\u9700\u5df2\u77e5\u4fe1\u9053\u7edf\u8ba1\u4fe1\u606f&#xff0c;\u590d\u6742\u5ea6\u8f83\u9ad8&#xff0c;\u4f46\u6297\u566a\u58f0\u6027\u80fd\u4f18\u4e8eLS\u3002<\/li>\n<\/ul>\n<li>LMMSE\u7b97\u6cd5&#xff1a;\n<ul>\n<li>\n<p id=\"\">\u539f\u7406&#xff1a;MMSE\u7684\u7b80\u5316\u7248\u672c&#xff0c;\u5047\u8bbe\u4fe1\u9053\u80fd\u91cf\u5f52\u4e00\u5316&#xff0c;\u516c\u5f0f\u4e3a&#xff1a;<\/p>\n<\/li>\n<\/ul>\n<\/li>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"134\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121f5089f.png\" width=\"738\" \/><\/p>\n<ul>\n<li>\u7279\u70b9&#xff1a;\u590d\u6742\u5ea6\u4ecb\u4e8eLS\u4e0eMMSE\u4e4b\u95f4&#xff0c;\u6027\u80fd\u4f18\u4e8eLS\u3002<\/li>\n<\/ul>\n<h4>2.3 \u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u4fe1\u9053\u4f30\u8ba1<\/h4>\n<li>\u6a21\u578b\u67b6\u6784&#xff1a;\n<ul>\n<li>\u91c7\u7528\u5377\u79ef\u795e\u7ecf\u7f51\u7edc&#xff08;CNN&#xff09;\u4e0e\u53cc\u5411\u957f\u77ed\u671f\u8bb0\u5fc6\u7f51\u7edc&#xff08;BiLSTM&#xff09;\u7ed3\u5408\u7684\u7ed3\u6784\u3002<\/li>\n<li>\u8f93\u5165\u5c42&#xff1a;\u63a5\u6536\u4fe1\u53f7\u7684\u65f6\u9891\u57df\u7279\u5f81&#xff08;\u5bfc\u9891\u4f4d\u7f6e\u5904\u7684LS\u4f30\u8ba1\u503c&#xff09;\u3002<\/li>\n<li>\u9690\u85cf\u5c42&#xff1a;\n<ul>\n<li>CNN\u5c42\u63d0\u53d6\u5c40\u90e8\u9891\u57df\u76f8\u5173\u6027\u3002<\/li>\n<li>BiLSTM\u5c42\u6355\u6349\u65f6\u57df\u52a8\u6001\u53d8\u5316\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8f93\u51fa\u5c42&#xff1a;\u5168\u8fde\u63a5\u5c42\u8f93\u51fa\u6570\u636e\u7b26\u53f7\u4f4d\u7f6e\u7684\u4fe1\u9053\u54cd\u5e94\u4f30\u8ba1\u503c\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u8bad\u7ec3\u7b56\u7565&#xff1a;\n<ul>\n<li>\u6570\u636e\u96c6&#xff1a;\u751f\u6210\u4e0d\u540cSNR\u3001\u591a\u5f84\u65f6\u5ef6\u3001\u591a\u666e\u52d2\u9891\u79fb\u4e0b\u7684OFDM\u4fe1\u53f7\u3002<\/li>\n<li>\u635f\u5931\u51fd\u6570&#xff1a;\u5747\u65b9\u8bef\u5dee&#xff08;MSE&#xff09;\u4e0e\u8bef\u7801\u7387&#xff08;BER&#xff09;\u8054\u5408\u4f18\u5316\u3002<\/li>\n<li>\u4f18\u5316\u5668&#xff1a;Adam\u7b97\u6cd5&#xff0c;\u5b66\u4e60\u7387\u52a8\u6001\u8c03\u6574\u3002<\/li>\n<\/ul>\n<\/li>\n<h3>3. \u4eff\u771f\u8bbe\u8ba1\u4e0e\u5b9e\u73b0<\/h3>\n<h4>3.1 \u4eff\u771f\u53c2\u6570<\/h4>\n<table>\n<tr>\u53c2\u6570\u503c<\/tr>\n<tbody>\n<tr>\n<td>\u5b50\u8f7d\u6ce2\u6570<\/td>\n<td>64<\/td>\n<\/tr>\n<tr>\n<td>CP\u957f\u5ea6<\/td>\n<td>16<\/td>\n<\/tr>\n<tr>\n<td>\u8c03\u5236\u65b9\u5f0f<\/td>\n<td>QPSK<\/td>\n<\/tr>\n<tr>\n<td>\u4fe1\u9053\u6a21\u578b<\/td>\n<td>3\u5f84\u745e\u5229\u8870\u843d\u4fe1\u9053&#xff0c;\u65f6\u5ef6[0,1,3]\u03bcs<\/td>\n<\/tr>\n<tr>\n<td>\u591a\u666e\u52d2\u9891\u79fb<\/td>\n<td>200 Hz&#xff08;\u5feb\u53d8\u4fe1\u9053\u573a\u666f&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>SNR\u8303\u56f4<\/td>\n<td>0~30 dB&#xff08;\u6b65\u957f5 dB&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>\u4eff\u771f\u6b21\u6570<\/td>\n<td>1000\u6b21\/SNR\u70b9<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>3.2 \u4eff\u771f\u6d41\u7a0b<\/h4>\n<li>\u4fe1\u53f7\u751f\u6210&#xff1a;\n<ul>\n<li>\u968f\u673a\u751f\u6210\u4e8c\u8fdb\u5236\u6570\u636e\u6d41&#xff0c;\u7ecfQPSK\u8c03\u5236\u4e3a\u590d\u6570\u7b26\u53f7\u3002<\/li>\n<li>\u63d2\u5165\u68b3\u72b6\u5bfc\u9891&#xff08;\u95f4\u96944\u4e2a\u5b50\u8f7d\u6ce2&#xff09;&#xff0c;\u8fdb\u884cIFFT\u53d8\u6362\u5e76\u6dfb\u52a0CP\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4fe1\u9053\u6a21\u62df&#xff1a;\n<ul>\n<li>\u591a\u5f84\u4fe1\u9053\u589e\u76ca\u670d\u4ece\u6307\u6570\u8870\u51cf\u6a21\u578b&#xff0c;\u6700\u5927\u65f6\u5ef6\u6269\u5c55\u4e3a3 \u03bcs&#xff08;\u8d85\u8fc7CP\u957f\u5ea6&#xff09;\u3002<\/li>\n<li>\u6dfb\u52a0AWGN\u566a\u58f0&#xff0c;\u8c03\u6574SNR\u503c\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u4fe1\u9053\u4f30\u8ba1\u4e0e\u5747\u8861&#xff1a;\n<ul>\n<li>LS\/MMSE\/LMMSE&#xff1a;\u57fa\u4e8e\u5bfc\u9891\u7b26\u53f7\u8ba1\u7b97\u4fe1\u9053\u54cd\u5e94&#xff0c;\u7ebf\u6027\u63d2\u503c\u5f97\u5230\u6570\u636e\u7b26\u53f7\u4f4d\u7f6e\u4f30\u8ba1\u503c\u3002<\/li>\n<li>\u6df1\u5ea6\u5b66\u4e60&#xff1a;\u8f93\u5165\u5bfc\u9891\u4f4d\u7f6e\u7684LS\u4f30\u8ba1\u503c&#xff0c;\u7f51\u7edc\u8f93\u51fa\u5168\u9891\u5e26\u4fe1\u9053\u54cd\u5e94\u3002<\/li>\n<li>\u5747\u8861&#xff1a;\u91c7\u7528\u8feb\u96f6&#xff08;ZF&#xff09;\u5747\u8861\u5668\u8865\u507f\u4fe1\u9053\u5931\u771f\u3002<\/li>\n<\/ul>\n<\/li>\n<li>\u6027\u80fd\u8bc4\u4f30&#xff1a;\n<ul>\n<li>\u8ba1\u7b97\u89e3\u8c03\u540e\u7684\u8bef\u7801\u7387&#xff08;BER&#xff09;&#xff0c;\u5bf9\u6bd4\u4e0d\u540c\u7b97\u6cd5\u7684\u6027\u80fd\u3002<\/li>\n<\/ul>\n<\/li>\n<h4>3.3 \u5173\u952e\u4ee3\u7801\u5b9e\u73b0&#xff08;MATLAB\u7247\u6bb5&#xff09;<\/h4>\n<p>matlab<\/p>\n<table>\n<tbody>\n<tr>\n<td>% \u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bad\u7ec3&#xff08;\u7b80\u5316\u7248&#xff09;<\/td>\n<\/tr>\n<tr>\n<td>input_size &#061; 64; % \u5bfc\u9891\u6570\u91cf<\/td>\n<\/tr>\n<tr>\n<td>hidden_size &#061; 128;<\/td>\n<\/tr>\n<tr>\n<td>output_size &#061; 64; % \u6570\u636e\u7b26\u53f7\u6570\u91cf<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<\/tr>\n<tr>\n<td>% \u5b9a\u4e49CNN-BiLSTM\u7f51\u7edc\u7ed3\u6784<\/td>\n<\/tr>\n<tr>\n<td>layers &#061; [<\/td>\n<\/tr>\n<tr>\n<td>imageInputLayer([1 1 input_size]) % \u8f93\u5165\u5c42<\/td>\n<\/tr>\n<tr>\n<td>convolution2dLayer([1 3], 16, &#039;Padding&#039;, &#039;same&#039;) % CNN\u5c42<\/td>\n<\/tr>\n<tr>\n<td>reluLayer()<\/td>\n<\/tr>\n<tr>\n<td>bilstmLayer(hidden_size, &#039;OutputMode&#039;, &#039;sequence&#039;) % BiLSTM\u5c42<\/td>\n<\/tr>\n<tr>\n<td>fullyConnectedLayer(output_size) % \u8f93\u51fa\u5c42<\/td>\n<\/tr>\n<tr>\n<td>regressionLayer() % \u56de\u5f52\u4efb\u52a1<\/td>\n<\/tr>\n<tr>\n<td>];<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<\/tr>\n<tr>\n<td>% \u8bad\u7ec3\u9009\u9879<\/td>\n<\/tr>\n<tr>\n<td>options &#061; trainingOptions(&#039;adam&#039;, &#8230;<\/td>\n<\/tr>\n<tr>\n<td>&#039;MaxEpochs&#039;, 50, &#8230;<\/td>\n<\/tr>\n<tr>\n<td>&#039;MiniBatchSize&#039;, 64, &#8230;<\/td>\n<\/tr>\n<tr>\n<td>&#039;InitialLearnRate&#039;, 0.001, &#8230;<\/td>\n<\/tr>\n<tr>\n<td>&#039;Plots&#039;, &#039;training-progress&#039;);<\/td>\n<\/tr>\n<tr>\n<td><\/td>\n<\/tr>\n<tr>\n<td>% \u8bad\u7ec3\u6a21\u578b<\/td>\n<\/tr>\n<tr>\n<td>net &#061; trainNetwork(X_train, Y_train, layers, options);<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>4. \u4eff\u771f\u7ed3\u679c\u4e0e\u5206\u6790<\/h3>\n<h4>4.1 \u8bef\u7801\u7387\u5bf9\u6bd4<\/h4>\n<table>\n<tr>SNR (dB)LS BERMMSE BERLMMSE BERDL BER<\/tr>\n<tbody>\n<tr>\n<td>0<\/td>\n<td>0.382<\/td>\n<td>0.321<\/td>\n<td>0.315<\/td>\n<td>0.287<\/td>\n<\/tr>\n<tr>\n<td>10<\/td>\n<td>0.045<\/td>\n<td>0.032<\/td>\n<td>0.029<\/td>\n<td>0.018<\/td>\n<\/tr>\n<tr>\n<td>20<\/td>\n<td>0.002<\/td>\n<td>0.0015<\/td>\n<td>0.0012<\/td>\n<td>0.0008<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>\u4f4eSNR\u573a\u666f&#xff1a;\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u8bef\u7801\u7387\u8f83LS\u964d\u4f4e\u663e\u8457&#xff0c;\u8f83MMSE\u964d\u4f4e\u7ea640%\u3002<\/li>\n<li>\u9ad8SNR\u573a\u666f&#xff1a;\u6240\u6709\u7b97\u6cd5\u6027\u80fd\u8d8b\u8fd1&#xff0c;\u6df1\u5ea6\u5b66\u4e60\u4ecd\u4fdd\u6301\u4f18\u52bf\u3002<\/li>\n<\/ul>\n<h4>4.2 \u5feb\u53d8\u4fe1\u9053\u9002\u5e94\u6027<\/h4>\n<ul>\n<li>\u5f53\u591a\u666e\u52d2\u9891\u79fb\u4ece50 Hz\u589e\u81f3200 Hz\u65f6&#xff1a;\n<ul>\n<li>LS\u7b97\u6cd5BER\u4e0a\u5347&#xff0c;\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u4ec5\u4e0a\u5347&#xff0c;\u8868\u660e\u5176\u5bf9\u65f6\u53d8\u4fe1\u9053\u5177\u6709\u66f4\u5f3a\u9c81\u68d2\u6027\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h4>4.3 \u591a\u5f84\u65f6\u5ef6\u6269\u5c55\u5f71\u54cd<\/h4>\n<ul>\n<li>\u5f53\u65f6\u5ef6\u6269\u5c55\u4ece1 \u03bcs\u589e\u81f33 \u03bcs&#xff08;\u8d85\u8fc7CP\u957f\u5ea6&#xff09;&#xff1a;\n<ul>\n<li>LS\u7b97\u6cd5\u56e0\u63d2\u503c\u8bef\u5dee\u5bfc\u81f4BER\u6076\u5316&#xff0c;\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u901a\u8fc7\u975e\u7ebf\u6027\u62df\u5408\u4ecd\u80fd\u7ef4\u6301\u4f4e\u8bef\u7801\u7387\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h3>5. \u7ed3\u8bba\u4e0e\u5c55\u671b<\/h3>\n<h4>5.1 \u7814\u7a76\u7ed3\u8bba<\/h4>\n<li>\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u5728\u4f4eSNR\u3001\u5feb\u53d8\u4fe1\u9053\u548c\u591a\u5f84\u65f6\u5ef6\u6269\u5c55\u573a\u666f\u4e0b\u6027\u80fd\u663e\u8457\u4f18\u4e8e\u4f20\u7edf\u7b97\u6cd5\u3002<\/li>\n<li>CNN-BiLSTM\u7ed3\u6784\u6709\u6548\u6355\u6349\u4e86\u4fe1\u9053\u7684\u65f6\u9891\u57df\u7279\u5f81&#xff0c;\u63d0\u5347\u4e86\u4f30\u8ba1\u7cbe\u5ea6\u3002<\/li>\n<h4>5.2 \u672a\u6765\u5c55\u671b<\/h4>\n<li>\u6a21\u578b\u4f18\u5316&#xff1a;\u63a2\u7d22\u66f4\u8f7b\u91cf\u7ea7\u7684\u7f51\u7edc\u7ed3\u6784&#xff08;\u5982MobileNet&#xff09;\u4ee5\u964d\u4f4e\u8ba1\u7b97\u590d\u6742\u5ea6\u3002<\/li>\n<li>\u5b9e\u9645\u90e8\u7f72&#xff1a;\u7ed3\u5408FPGA\u6216ASIC\u5b9e\u73b0\u5b9e\u65f6\u4fe1\u9053\u4f30\u8ba1&#xff0c;\u6ee1\u8db35G\u6beb\u7c73\u6ce2\u901a\u4fe1\u9700\u6c42\u3002<\/li>\n<li>\u8054\u5408\u4f18\u5316&#xff1a;\u5c06\u4fe1\u9053\u4f30\u8ba1\u4e0e\u5747\u8861\u3001\u89e3\u7801\u7b49\u6a21\u5757\u8054\u5408\u8bad\u7ec3&#xff0c;\u8fdb\u4e00\u6b65\u63d0\u5347\u7cfb\u7edf\u6027\u80fd\u3002<\/li>\n<h3 id=\"%F0%9F%93%9A2%20%E8%BF%90%E8%A1%8C%E7%BB%93%E6%9E%9C\">&#x1f4da;2 \u8fd0\u884c\u7ed3\u679c<\/h3>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"525\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121f623d4.png\" width=\"700\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"525\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121f7c051.png\" width=\"700\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"525\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121f996d3.png\" width=\"700\" \/><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" alt=\"\" height=\"525\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121fb5477.png\" width=\"700\" \/><\/p>\n<h3 id=\"%F0%9F%8E%893%C2%A0%E5%8F%82%E8%80%83%E6%96%87%E7%8C%AE%C2%A0\">&#x1f389;3\u00a0\u53c2\u8003\u6587\u732e\u00a0<\/h3>\n<p>\u6587\u7ae0\u4e2d\u4e00\u4e9b\u5185\u5bb9\u5f15\u81ea\u7f51\u7edc&#xff0c;\u4f1a\u6ce8\u660e\u51fa\u5904\u6216\u5f15\u7528\u4e3a\u53c2\u8003\u6587\u732e&#xff0c;\u96be\u514d\u6709\u672a\u5c3d\u4e4b\u5904&#xff0c;\u5982\u6709\u4e0d\u59a5&#xff0c;\u8bf7\u968f\u65f6\u8054\u7cfb\u5220\u9664\u3002(\u6587\u7ae0\u5185\u5bb9\u4ec5\u4f9b\u53c2\u8003&#xff0c;\u5177\u4f53\u6548\u679c\u4ee5\u8fd0\u884c\u7ed3\u679c\u4e3a\u51c6)<\/p>\n<p>[1]\u7a0b\u5c65\u5e2e.OFDMA\u7cfb\u7edf\u4e2d\u57fa\u4e8eLMMSE\u4fe1\u9053\u4f30\u8ba1\u7b97\u6cd5\u7684\u6539\u8fdb\u53ca\u5176\u6027\u80fd\u5206\u6790[J].\u7535\u5b50\u5b66\u62a5, 2008, 36(9):4.<\/p>\n<p>[2]\u5f20\u957f\u9752.TD-LTE\u7cfb\u7edf\u4fe1\u9053\u4f30\u8ba1\u7b97\u6cd5\u7814\u7a76[J].\u7535\u4fe1\u7f51\u6280\u672f, 2014(3):4.DOI:CNKI:SUN:DXWJ.0.2014-03-017.<\/p>\n<p>[3]\u80e1\u7389\u9f99.\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684OFDM\u7cfb\u7edf\u4fe1\u9053\u4f30\u8ba1\u7b97\u6cd5\u7814\u7a76[D].\u5357\u4eac\u4fe1\u606f\u5de5\u7a0b\u5927\u5b66,2023.<\/p>\n<h3 id=\"%F0%9F%8C%884%20Matlab%E4%BB%A3%E7%A0%81%E5%AE%9E%E7%8E%B0\">&#x1f308;4\u00a0Matlab\u4ee3\u7801\u5b9e\u73b0<\/h3>\n<p>\u8d44\u6599\u83b7\u53d6&#xff0c;\u66f4\u591a\u7c89\u4e1d\u798f\u5229&#xff0c;MATLAB|Simulink|Python\u8d44\u6e90\u83b7\u53d6<\/p>\n<p>\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0<img decoding=\"async\" alt=\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\" src=\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/01\/20260126070503-6977121fce397.gif\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>&#x1f4a5;&#x1f4a5;&#x1f49e;&#x1f49e;\u6b22\u8fce\u6765\u5230\u672c\u535a\u5ba2\u2764\ufe0f\u2764\ufe0f&#x1f4a5;&#x1f4a5; &#x1f3c6;\u535a\u4e3b\u4f18\u52bf&#xff1a;&#x1f31e;&#x1f31e;&#x1f31e;\u535a\u5ba2\u5185\u5bb9\u5c3d\u91cf\u505a\u5230\u601d\u7ef4\u7f1c\u5bc6&#xff0c;\u903b\u8f91\u6e05\u6670&#xff0c;\u4e3a\u4e86\u65b9\u4fbf\u8bfb\u8005\u3002 \u26f3\ufe0f\u5ea7\u53f3\u94ed&#xff1a;\u884c\u767e\u91cc\u8005&#xff0c;\u534a\u4e8e\u4e5d\u5341\u3002 &#x1f4cb;&#x1f4cb;&#x1f4cb;\u672c\u6587\u5185\u5bb9\u5982\u4e0b&#xff1a;&#x1f381;&amp;#x1f<\/p>\n","protected":false},"author":2,"featured_media":66271,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1284,86,427],"topic":[],"class_list":["post-66279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-matlab","tag-86","tag-427"],"yoast_head":"<!-- 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