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基于ICA和特征提取的MIMO信號(hào)調(diào)制識(shí)別算法

張?zhí)祢U 范聰聰 葛宛營(yíng) 張?zhí)?/a>

張?zhí)祢U, 范聰聰, 葛宛營(yíng), 張?zhí)? 基于ICA和特征提取的MIMO信號(hào)調(diào)制識(shí)別算法[J]. 電子與信息學(xué)報(bào), 2020, 42(9): 2208-2215. doi: 10.11999/JEIT190320
引用本文: 張?zhí)祢U, 范聰聰, 葛宛營(yíng), 張?zhí)? 基于ICA和特征提取的MIMO信號(hào)調(diào)制識(shí)別算法[J]. 電子與信息學(xué)報(bào), 2020, 42(9): 2208-2215. doi: 10.11999/JEIT190320
Tianqi ZHANG, Congcong FAN, Wanying GE, Tian ZHANG. MIMO Signal Modulation Recognition Algorithm Based on ICA and Feature Extraction[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2208-2215. doi: 10.11999/JEIT190320
Citation: Tianqi ZHANG, Congcong FAN, Wanying GE, Tian ZHANG. MIMO Signal Modulation Recognition Algorithm Based on ICA and Feature Extraction[J]. Journal of Electronics & Information Technology, 2020, 42(9): 2208-2215. doi: 10.11999/JEIT190320

基于ICA和特征提取的MIMO信號(hào)調(diào)制識(shí)別算法

doi: 10.11999/JEIT190320
基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61671095, 61702065, 61701067, 61771085),信號(hào)與信息處理重慶市市級(jí)重點(diǎn)實(shí)驗(yàn)室建設(shè)項(xiàng)目(CSTC2009CA2003),重慶市研究生科研創(chuàng)新項(xiàng)目(CYS17219),重慶市教育委員會(huì)科研項(xiàng)目(KJ1600427, KJ1600429)
詳細(xì)信息
    作者簡(jiǎn)介:

    張?zhí)祢U:男,1971年生,博士后,教授,主要研究方向?yàn)檎Z(yǔ)音信號(hào)處理、通信信號(hào)的調(diào)制解調(diào)、盲處理、神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)以及FPGA, VLSI 實(shí)現(xiàn)

    范聰聰:男,1995年生,碩士生,研究方向?yàn)橥ㄐ判盘?hào)的盲處理

    葛宛營(yíng):男,1994年生,碩士生,研究方向?yàn)檎Z(yǔ)音增強(qiáng)與盲分離

    張?zhí)欤耗校?993年生,碩士生,研究方向?yàn)檎Z(yǔ)音信號(hào)處理,聲樂(lè)分離

    通訊作者:

    范聰聰 2669432120@qq.com

  • 中圖分類號(hào): TN911.7

MIMO Signal Modulation Recognition Algorithm Based on ICA and Feature Extraction

Funds: The National Natural Science Foundation of China (61671095, 61702065, 61701067, 61771085), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Graduate Research and Innovation Project (CYS17219), The Research Project of Chongqing Educational Commission (KJ1600427, KJ1600429)
  • 摘要: 針對(duì)非協(xié)作通信中多輸入多輸出(MIMO)信號(hào)的盲調(diào)制識(shí)別,該文提出一種基于獨(dú)立分量分析(ICA)和特征提取的調(diào)制識(shí)別算法。根據(jù)空分復(fù)用MIMO系統(tǒng)各發(fā)送天線上信號(hào)的獨(dú)立性,利用ICA算法從接收的混合信號(hào)中分離出發(fā)射信號(hào)。為實(shí)現(xiàn)全盲條件下的調(diào)制識(shí)別,在進(jìn)行ICA分離前,利用最小描述長(zhǎng)度(MDL)準(zhǔn)則估計(jì)發(fā)射天線數(shù)。在得到發(fā)射信號(hào)之后,首先利用6階累積量、循環(huán)譜和4次方譜算法構(gòu)造4個(gè)特征參數(shù),然后利用分層結(jié)構(gòu)的神經(jīng)網(wǎng)絡(luò)分類器識(shí)別信號(hào)的調(diào)制類型。仿真結(jié)果表明,所提方法可在較低信噪比下對(duì){2PSK, 2ASK, 2FSK, 4PSK, 4ASK, MSK, 8PSK, 16QAM}8種MIMO信號(hào)進(jìn)行有效識(shí)別,當(dāng)發(fā)送天線數(shù)為2、接收天線數(shù)為5、信噪比為2 dB時(shí),識(shí)別率可達(dá)到98%以上。
  • 圖  1  分層結(jié)構(gòu)的神經(jīng)網(wǎng)絡(luò)分類器

    圖  2  調(diào)制識(shí)別流程圖

    圖  3  不同${N_{\rm{t}}} \times {N_{\rm{r}}}$下的估計(jì)性能

    圖  4  不同調(diào)制方式下${N_{\rm{t}}}$的估計(jì)性能

    圖  5  特征參數(shù)T1隨SNR的變化曲線

    圖  6  特征參數(shù)T2隨SNR的變化曲線

    圖  7  特征參數(shù)T3隨SNR的變化曲線

    圖  8  特征參數(shù)T4隨SNR的變化曲線

    表  1  各調(diào)制信號(hào)的高階累積量

    累積量2PSK4PSK8PSK2ASK4ASK2FSKMSK16QAM
    $\left| {{C_{21}}} \right|$11111111
    $\left| {{C_{42}}} \right|$21121.36110.68
    $\left| {{C_{63}}} \right|$1344139.16442.08
    下載: 導(dǎo)出CSV

    表  2  ${N_{\rm{t}}} \times {N_{\rm{r}}} = 4 \times 5$時(shí)的識(shí)別率(%)

    調(diào)制類型–2 dB0 dB2 dB4 dB6 dB8 dB10 dB
    2PSK80.685.789.594.097.098.8100
    2ASK82.487.392.095.297.099.3100
    2FSK89.093.094.897.3100100100
    4PSK89.493.096.998.298.8100100
    4ASK85.087.090.296.0100100100
    MSK88.592.496.098.399.5100100
    8PSK91.095.097.899.0100100100
    16QAM87.092.395.698.2100100100
    下載: 導(dǎo)出CSV

    表  3  ${N_{\rm{t}}} \times {N_{\rm{r}}} = 4 \times 6$時(shí)的識(shí)別率(%)

    調(diào)制類型-2 dB0 dB2 dB4 dB6 dB8 dB10 dB
    2PSK83.788.095.098.299.4100100
    2ASK84.590.396.098.4100100100
    2FSK91.396.098.299.5100100100
    4PSK91.696.497.5100100100100
    4ASK89.094.498.099.2100100100
    MSK91.095.097.3100100100100
    8PSK93.097.299.3100100100100
    16QAM91.095.398.4100100100100
    下載: 導(dǎo)出CSV

    表  4  ${N_{\rm{t}}} \times {N_{\rm{r}}}{\rm{ = 2}} \times {\rm{5}}$時(shí)的識(shí)別率(%)

    調(diào)制類型-2 dB0 dB2 dB4 dB6 dB8 dB10 dB
    2PSK89.093.198.399.0100100100
    2ASK91.695.098.299.0100100100
    2FSK93.498.399.5100100100100
    4PSK95.898.3100100100100100
    4ASK92.097.099.6100100100100
    MSK94.097.698.8100100100100
    8PSK96.899.3100100100100100
    16QAM94.398.0100100100100100
    下載: 導(dǎo)出CSV
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  • 收稿日期:  2019-05-06
  • 修回日期:  2020-03-18
  • 網(wǎng)絡(luò)出版日期:  2020-06-26
  • 刊出日期:  2020-09-27

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