基于迭代线性约束最小方差的稳健自适应脉冲压缩方法

李秀友; 董云龙; 黄勇; 关键

doi:10.11999/JEIT141631

基于迭代线性约束最小方差的稳健自适应脉冲压缩方法

doi: 10.11999/JEIT141631

基金项目:

国家自然科学基金(61002045, 61179017, 61102167)和山东省自然科学基金(2015ZRA06052)

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- 被引次数: 0
出版历程
- 收稿日期: 2014-12-20
- 修回日期: 2015-06-01
- 刊出日期: 2015-10-19

Robust Adaptive Pulse Compression Algorithm Based on Reiterative Linearly Constrained Minimum Variance

Funds:

The National Natural Science Foundation of China (61002045, 61179017, 61102167)

摘要

摘要: 针对常规自适应脉冲压缩方法在目标散射点与采样中心失配时旁瓣抑制性能下降的问题，该文提出一种基于迭代线性约束最小方差(RLCMV)的自适应脉冲压缩方法。该方法首先将自适应波束形成器算法引入到自适应脉冲压缩滤波器设计中。其次对目标及干扰单元进行线性约束，并用对角加载技术避免矩阵出现病态。最后构造了迭代运算方法，依次抑制不同大小目标的距离旁瓣。仿真结果表明，该算法可以有效抑制散射点随机分布目标的距离旁瓣，对散射点与采样中心失配情况具有较好的稳健性，在多目标及距离扩展目标场景中达到较好的旁瓣抑制性能，并在一定程度上提高了多普勒容性。
- 雷达信号处理 /
- 脉冲压缩 /
- 旁瓣抑制 /
- 线性约束 /
- 多普勒容性
Abstract: In order to solve the problem of range side-lobes suppression performance degradation due to error between scatter and sample center of tradition methods, a new adaptive pulse compression algorithm based on Reiterative Linearly Constrained Minimum Variance (RLCMV) is presented in this paper. Firstly, adaptive beamformer is introduced into adaptive pulse compression. Then, linearly constraint is forced on range bins of target and interference, and diagonal loading techniques are applied. Finally, reiterative method is presented to suppress the side-lobe of target in range of different Radar Cross Section (RCS). Simulation results show that this algorithm can effectively suppress side-lobes of scatters random distributed in range bin, and it is robust to error between scatters and sample center. It keeps excellent performance even in multi-targets and range- extended target scenario, and improves performance of high Doppler target to a certain extend.
- Radar signal processing /
- Pulse compression /
- Side-lobes suppression /
- Linear constrain /
- Doppler performance

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参考文献(24)

Richards M A. Fundamentals of Radar Signal Processing[M]. New York: The McGraw-Hill Companies, 2005: 230-231.

李风从, 赵宜楠, 乔晓林. 抑制特定区间距离旁瓣的恒模波形设计方法[J]. 电子与信息学报, 2013, 35(3): 532-536.

Li Feng-cong, Zhao Yi-nan, and Qiao Xiao-lin. Constant modular waveform design method for suppressing range sidelobes in specified intervals[J]. Journal of Electronics Information Technology, 2013, 35(3): 532-536.

赵宜楠, 张涛, 李风从, 等. 基于交替投影的MIMO雷达最优波形设计[J]. 电子与信息学报, 2014, 36(6): 1368-1373.

Zhao Yi-nan, Zhang Tao, Li Feng-cong, et al.. Optimal waveform design for MIMO radar via alternating projection [J]. Journal of Electronics Information Technology, 2014, 36(6): 1368-1373.

赵宜楠, 李风从, 王军, 等. 基于秩亏傅里叶变换的交替投影编码波形设计[J]. 电子学报, 2014, 42(6): 1216-1219.

Zhao Yi-nan, Li Feng-cong, Wang Jun, et al.. Coded waveform design via alternating projection based on rank deficient Fourier transform[J]. Acta Electronica Sinica, 2014, 42(6): 1216-1219.

Cao Si-yang, Zheng Y F, and Ewing R L. Wavelet-based waveform for effective sidelobe suppression in radar signal[J]. IEEE Transactions on Aerospace and Electronic Systems, 2014, 50(1): 265-284.

Hai D. Effective CLEAN algorithms for performance enhanced detection of binary coding radar signals[J]. IEEE Transactions on Signal Processing, 2004, 52(1): 72-78.

Blunt S D and Gerlach K. Adaptive pulse compression via MMSE Estimation[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(2): 572-584.

Gerlach K and Blunt S D. Radar pulse compression repair[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(3): 1188-1195.

Blunt S D, Shackelford A K, and Gerlach K. Doppler compensation single pulse imaging using adaptive pulse compression[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(2): 647-658.

Gerlach K and Blunt S D. Multistatic adaptive pulse compression[J]. IEEE Transactions on Aerospace and Electronic Systems, 2006, 42(3): 891-903.

Yardibi T, Li Jian, Stoica P, et al.. Source localization and sensing: a nonparametric iterative adaptive approach based on weighted least squares[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(1): 425-443.

Roberts W, He Hao, Li Jian, et al.. Probing waveform synthesis and receiver filter design[J]. IEEE Signal Processing Magazine, 2010, 27(4): 99-112.

Li Jian, Stoica P, and Zheng Xia-yu. Signal synthesis and receiver design for MIMO radar imaging[J]. IEEE Transactions on Signal Processing, 2008, 56(8): 3959-3968.

张劲东, 王海青, 朱晓华, 等. 基于最大输出信噪比准则的自适应脉冲压缩[J]. 电子与信息学报, 2009, 31(4): 790-793.

Zhang Jin-dong, Wang Hai-qing, Zhu Xiao-hua, et al.. Adaptive pulse compression via MSN criteria[J]. Journal of Electronics Information Technology, 2009, 31(4): 790-793.

Van Trees H L. Optimum Array Processing Part IV of Detection, Estimation and Modulation Theory[M]. New York: John Wiley Sons, Inc., 2002: 513-518.

Geng Zhe, Deng Hai, and Himed B. Adaptive radar beamforming for interference mitigation in radar wireless spectrum sharing[J]. IEEE Signal Processing Letters, 2015, 22(4): 484-488.

Su Hong-tao, Liu Hong-wei, Shui Peng-lang, et al.. Adaptive beamforming for nonstationary HF interference cancellation in sky wave over-the-horizon radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(1): 312-324.

Li N, Tang J, and Peng Y N. Adaptive pulse compression of MIMO radar based on GSC[J]. Electronics Letters, 2008, 44(20): 1217-1218.

关键, 黄勇, 何友. 基于自适应脉冲压缩-Capon滤波器的MIMO阵列雷达CFAR检测器[J]. 中国科学: 信息科学, 2011, 41(10): 1268-1282.

Guan Jian, Huang Yong, and He You. A CFAR detector for MIMO array radar based on adaptive pulse compression- Capon filter[J]. SCIENTIA SINICA Informationis, 2011, 41(10): 1268-1282.

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