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基于期望最大化算法的捷變頻聯(lián)合正交頻分復(fù)用雷達(dá)高速多目標(biāo)參數(shù)估計(jì)

全英匯,  高霞,  沙明輝,  陳俠達(dá),  李亞超,  邢孟道,  岳超良

全英匯, 高霞, 沙明輝, 陳俠達(dá), 李亞超, 邢孟道, 岳超良. 基于期望最大化算法的捷變頻聯(lián)合正交頻分復(fù)用雷達(dá)高速多目標(biāo)參數(shù)估計(jì)[J]. 電子與信息學(xué)報(bào), 2020, 42(7): 1611-1618. doi: 10.11999/JEIT190474
引用本文: 全英匯, 高霞, 沙明輝, 陳俠達(dá), 李亞超, 邢孟道, 岳超良. 基于期望最大化算法的捷變頻聯(lián)合正交頻分復(fù)用雷達(dá)高速多目標(biāo)參數(shù)估計(jì)[J]. 電子與信息學(xué)報(bào), 2020, 42(7): 1611-1618. doi: 10.11999/JEIT190474
Yinghui QUAN, Xia GAO, Minghui SHA, Xiada CHEN, Yachao LI, Mengdao XING, Chaoliang YUE. High Speed Multi-target Parameter Estimation for FA-OFDM Radar Based on Expectation Maximization Algorithm[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1611-1618. doi: 10.11999/JEIT190474
Citation: Yinghui QUAN, Xia GAO, Minghui SHA, Xiada CHEN, Yachao LI, Mengdao XING, Chaoliang YUE. High Speed Multi-target Parameter Estimation for FA-OFDM Radar Based on Expectation Maximization Algorithm[J]. Journal of Electronics & Information Technology, 2020, 42(7): 1611-1618. doi: 10.11999/JEIT190474

基于期望最大化算法的捷變頻聯(lián)合正交頻分復(fù)用雷達(dá)高速多目標(biāo)參數(shù)估計(jì)

doi: 10.11999/JEIT190474 cstr: 32379.14.JEIT190474

  • 西安電子科技大學(xué)雷達(dá)信號(hào)處理國(guó)家重點(diǎn)實(shí)驗(yàn)室 西安 710071

基金項(xiàng)目: 國(guó)家自然科學(xué)基金(61303035, 61772397)，中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金，西安電子科技大學(xué)研究生創(chuàng)新基金
詳細(xì)信息
    作者簡(jiǎn)介:

    全英匯：男，1981年生，博士，教授，研究方向?yàn)槔走_(dá)信號(hào)處理，主動(dòng)波形對(duì)抗

    高霞：女，1996年生，碩士生，研究方向?yàn)槔走_(dá)信號(hào)處理

    沙明輝：男，1986年生，博士生，研究方向?yàn)槔走_(dá)抗干擾和信號(hào)處理

    陳俠達(dá)：男，1995年生，碩士生，研究方向?yàn)槔走_(dá)信號(hào)處理

    李亞超：男，1981年生，博士，教授，研究方向?yàn)槔走_(dá)成像和實(shí)時(shí)信號(hào)處理

    邢孟道：男，1981年生，博士，教授，研究方向?yàn)槔走_(dá)成像和實(shí)時(shí)信號(hào)處理

    岳超良：男，1979年生，碩士，研究方向?yàn)槔走_(dá)信號(hào)處理

    通訊作者:

    高霞　2636897970@qq.com

  • 中圖分類號(hào): TN957.51

High Speed Multi-target Parameter Estimation for FA-OFDM Radar Based on Expectation Maximization Algorithm

  • National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Funds: The National Natural Science Foundation of China (61303035, 61772397), The Foundation Research Funds for Central University, The Innovation Fund of Xidian University
  • 摘要:

    參數(shù)估計(jì)對(duì)雷達(dá)的目標(biāo)檢測(cè)和識(shí)別有著重要的意義。該文提出了一種基于期望最大化(EM)算法的捷變頻聯(lián)合正交頻分復(fù)用(FA-OFDM)雷達(dá)高速多目標(biāo)參數(shù)估計(jì)方法。首先，將窄帶正交頻分復(fù)用(OFDM)信號(hào)與傳統(tǒng)捷變頻雷達(dá)相結(jié)合，在每個(gè)脈沖寬度內(nèi)同時(shí)發(fā)射多個(gè)載頻隨機(jī)跳變的子載波。然后，對(duì)單個(gè)脈沖內(nèi)所有子載波的回波進(jìn)行脈沖壓縮和稀疏重構(gòu)處理，得到1維高分辨距離。進(jìn)一步地，將多個(gè)目標(biāo)在不同脈沖時(shí)刻的高分辨距離信息構(gòu)成觀測(cè)數(shù)據(jù)，建立混合高斯模型。采用EM算法對(duì)模型參數(shù)和多個(gè)目標(biāo)的距離、速度進(jìn)行估計(jì)，并同時(shí)擬合多條時(shí)間-距離直線。直線斜率對(duì)應(yīng)目標(biāo)速度，直線縱軸截距對(duì)應(yīng)目標(biāo)初始距離。最終，分別分析了信噪比(SNR)對(duì)檢測(cè)概率以及目標(biāo)速度對(duì)相對(duì)估計(jì)誤差的影響。仿真實(shí)驗(yàn)驗(yàn)證了所提算法的有效性。

    Abstract:

    Parameter estimation is very important for radar to detect and recognize targets. In this paper, a high speed multi-target parameter estimation method for Frequency Agility-Orthogonal Frequency Division Multiplexing(FA-OFDM) radar based on Expectation Maximization(EM) algorithm is proposed. Firstly, a promising idea is to combine narrowband Orthogonal Frequency Division Multiplexing (OFDM) signals and frequency agility, multiple subcarriers that frequency hopping randomly are simultaneously transmitted within each pulse width. Then, all echoes of a single pulse are compressed and sparsely reconstructed to achieve 1-demension high range resolution. Subsequently, the high resolution range of multiple targets at each pulse time are obtained to constitute the observation data, and Gauss mixture model is established. EM algorithm is applied to estimate the parameters of the model and the range and velocity of multiple targets. Also, multiple time-range lines are fitted at the same time, and the slope of the line corresponds to the velocity of the target, as well as, the vertical intercept of the line corresponds to the initial range of the target, separately. Finally, the influence of the Signal-to-Noise Ratio (SNR) on detection probability and the target velocity on relative error of estimation are analyzed, respectively. Simulations are provided to verify the effectiveness of the proposal.

    • HTML全文

  • 圖  1  FA-OFDM雷達(dá)發(fā)射信號(hào)示意圖

    圖  2  基于EM算法的高速多目標(biāo)參數(shù)估計(jì)方法的流程圖

    圖  3  單目標(biāo)仿真結(jié)果

    圖  4  多目標(biāo)仿真結(jié)果

    圖  5  信噪比對(duì)檢測(cè)概率的影響

    圖  6  目標(biāo)速度對(duì)估計(jì)誤差的影響

    表  1  仿真參數(shù)

    參數(shù)數(shù)值參數(shù)數(shù)值
    脈沖寬度4 μs脈沖重復(fù)頻率25 kHz
    信號(hào)帶寬24 MHz采樣頻率48 MHz
    子載波個(gè)數(shù)64中心載頻14 GHz
    跳頻總數(shù)128跳頻帶寬20 MHz
    脈沖總數(shù)64信噪比–12 dB
    目標(biāo)距離[3994,4001,4006] m目標(biāo)速度[600,1220,5800] m/s
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  • 霍凱, 趙晶晶. OFDM新體制雷達(dá)研究現(xiàn)狀與發(fā)展趨勢(shì)[J]. 電子與信息學(xué)報(bào), 2015, 37(11): 2776–2789. doi: 10.11999/JEIT150335

    HUO Kai and ZHAO Jingjing. The Development and prospect of the new OFDM radar[J]. Journal of Electronics &Information Technology, 2015, 37(11): 2776–2789. doi: 10.11999/JEIT150335
    肖博, 霍凱, 劉永祥. 雷達(dá)通信一體化研究現(xiàn)狀與發(fā)展趨勢(shì)[J]. 電子與信息學(xué)報(bào), 2019, 41(3): 739–750. doi: 10.11999/JEIT180515

    XIAO Bo, HUO Kai, and LIU Yongxiang. Development and prospect of radar and communication integration[J]. Journal of Electronics &Information Technology, 2019, 41(3): 739–750. doi: 10.11999/JEIT180515
    WANG Jun, ZHANG Bocheng, and LEI Peng. Ambiguity function analysis for OFDM radar signals[C]. 2016 CIE International Conference on Radar, Guangzhou, China, 2016: 1–5. doi: 10.1109/RADAR.2016.8059592.
    劉冰凡, 陳伯孝. 基于OFDM-LFM信號(hào)的MIMO雷達(dá)通信一體化信號(hào)共享設(shè)計(jì)研究[J]. 電子與信息學(xué)報(bào), 2019, 41(4): 801–808. doi: 10.11999/JEIT180547

    LIU Bingfan and CHEN Baixiao. Integration of MIMO Radar and Communication with OFDM-LFM Signals[J]. Journal of Electronics &Information Technology, 2019, 41(4): 801–808. doi: 10.11999/JEIT180547
    SCHWEIZER B, SCHINDLER D, KNILL C, et al. Expanding the unambiguous velocity limitation of the stepped-carrier OFDM radar scheme[C]. The 15th European Radar Conference, Madrid, Spain, 2018: 22–25. doi: 10.23919/EuRAD.2018.8546621.
    黃瑞, 杜小勇, 胡衛(wèi)東. OFDM雷達(dá)多目標(biāo)運(yùn)動(dòng)參數(shù)的近似最大似然估計(jì)[J]. 雷達(dá)學(xué)報(bào), 2018, 7(4): 507–513. doi: 10.12000/JR17116

    HUANG Rui, DU Xiaoyong, and HU Weidong. Approximate maximum likelihood estimator of multi-target motion parameters for orthogonal frequency division multiplexing radar[J]. Journal of Radars, 2018, 7(4): 507–513. doi: 10.12000/JR17116
    LIU Yongjun, LIAO Guisheng, and YANG Zhiwei. Range and angle estimation for MIMO-OFDM integrated radar and communication systems[C]. 2016 CIE International Conference on Radar, Guangzhou, China, 2016: 1–4. doi: 10.1109/RADAR.2016.8059539.
    LELLOUCH G, TRAN P, PRIBIC R, et al. OFDM waveforms for frequency agility and opportunities for Doppler processing in radar[C]. 2008 IEEE Radar Conference, Rome, Italy, 2008: 1–6. doi: 10.1109/RADAR.2008.4720798.
    SCHWEIZER B, KNILL C, SCHINDLER D, et al. Stepped-Carrier OFDM-Radar processing scheme to retrieve high-resolution range-velocity profile at low sampling rate[J]. IEEE Transactions on Microwave Theory and Techniques, 2018, 66(3): 1610–1618. doi: 10.1109/TMTT.2017.2751463
    LELLOUCH G, MISHRA A K, and INGGS M. Stepped OFDM radar technique to resolve range and Doppler simultaneously[J]. IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(2): 937–950. doi: 10.1109/TAES.2014.130753
    KNILL C, SCHWEIZER B, ROOS F, et al. High range and Doppler resolution by application of compressed sensing using low baseband bandwidth OFDM radar[J]. IEEE Transactions on Microwave Theory and Techniques, 2018, 66(7): 3535–3546. doi: 10.1109/TMTT.2018.2830389
    LI Hongtao, WANG Chaoyu, WANG Ke, et al. High resolution range profile of compressive sensing radar with low computational complexity[J]. IET Radar, Sonar & Navigation, 2015, 9(8): 984–990. doi: 10.1049/iet-rsn.2014.0454
    KNILL C, ROOS F, SCHWEIZER B, et al. Random multiplexing for an MIMO-OFDM radar with compressed sensing-based reconstruction[J]. IEEE Microwave and Wireless Components Letters, 2019, 29(4): 300–302. doi: 10.1109/LMWC.2019.2901405
    QUAN Yinghui, LI Yachao, WU Yaojun, et al. Moving target detection for frequency agility radar by sparse reconstruction[J]. Review of Scientific Instruments, 2016, 87(9): 094703. doi: 10.1063/1.4962700
    QUAN Yinghui, WU Yaojun, LI Yachao, et al. Range-Doppler reconstruction for frequency agile and PRF-jittering radar[J]. IET Radar, Sonar & Navigation, 2018, 12(3): 348–352. doi: 10.1049/iet-rsn.2017.0421
    CHOI J. Sparse signal detection for space shift keying using the Monte Carlo EM algorithm[J]. IEEE Signal Processing Letters, 2016, 23(7): 974–978. doi: 10.1109/LSP.2016.2577707
    李航. 統(tǒng)計(jì)學(xué)習(xí)方法[M]. 北京: 清華大學(xué)出版社, 2012: 162–165.
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  • 收稿日期:  2019-06-27
  • 修回日期:  2020-03-17
  • 網(wǎng)絡(luò)出版日期:  2020-04-17
  • 刊出日期:  2020-07-23

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