一种分布式MIMO雷达正交波形和失配滤波器组联合设计方法

徐磊磊; 周生华; 刘宏伟; 马林; 严俊坤

doi:10.11999/JEIT170836

一种分布式MIMO雷达正交波形和失配滤波器组联合设计方法

doi: 10.11999/JEIT170836

基金项目:

国家自然科学基金(61401329, 61372134)，国家杰出青年科学基金(61525105)

计量
- 文章访问数: 1462
- HTML全文浏览量: 178
- PDF下载量: 145
- 被引次数: 0
出版历程
- 收稿日期: 2017-09-01
- 修回日期: 2018-01-10
- 刊出日期: 2018-06-19

Joint Design of Distributed MIMO Radar Orthogonal Waveforms and Mismatched Filter Bank

Funds:

The National Natural Science Foundation of China (61401329, 61372134), The National Science Fund for Distinguished Young Scholars (61525105)

摘要

摘要: 针对分布式MIMO雷达正交相位编码信号和其失配滤波器组分开设计输出的距离旁瓣电平仍然过高的问题，该文提出一种正交相位编码信号和失配滤波器组联合设计方法。首先，以约束信噪比损失和最小化失配滤波组输出的距离旁瓣电平为目标，构建联合设计准则。然后，根据最小p范数算法的理论，给出一种基于L-BFGS算法的双最小p范数算法进行求解。仿真结果表明，与分开设计方法相比，该文方法输出的距离旁瓣电平可以进一步降低。
- 分布式MIMO雷达 /
- 正交波形 /
- 失配滤波器组 /
- 联合设计
Abstract: For the high Range Sidelobe Level (RSL) of designing distributed MIMO radar orthogonal phase coded waveforms and its mismatched filter bank separately, a joint design method of Orthogonal Phase Coded Waveforms and Mismatched Filter Bank (OPCW-MFB) is proposed in this paper. Firstly, by controlling signal-to-noise ratio loss and minimizing the RSL of mismatched filter bank output, the joint design criterion is formulated. Then, based on the theory of a least-pth minimax algorithm, a double least-pth minimax algorithm with the L-BFGS as its sub-algorithm is proposed to solve it. Numerical results show that compared with the separate design methods of OPCW-MFB, the proposed method can further suppress the RSL.
- Distributed MIMO radar /
- Orthogonal waveforms /
- Mismatched filter bank /
- Joint design

HTML全文

参考文献(20)

CHEN Peng, ZHENG Le, WANG Xiaodong, et al. Moving target detection using colocated MIMO radar on multiple distributed moving platforms[J]. IEEE Transactions on Signal Processing, 2017, 65(17): 4670-4683. doi: 10.1109/ TSP.2017.2714999.

HU Qinzhen, SU Hongtao, ZHOU Shenghua, et al. Target detection in distributed MIMO radar with registration errors[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(1): 438-450. doi: 10.1109/TAES.2015. 140479.

DENG Hai. Ployphase code design for orthogonal netted radar systems[J]. IEEE Transactions on Signal Processing, 2004, 52(2): 3126-3135. doi: 10.1109/TSP.2004.836530.

HAN K Y and NEHORAI A. Jointly optimal design for MIMO radar frequency-hopping waveforms using game theory[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(2): 809-820. doi: 10.1109/TAES.2015. 140408.

ZHOU Shenghua, LIU Hongwei, ZANG Huikai, et al. Doppler sensitivity of MIMO radar waveforms[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(5): 2091-2110. doi: 10.1109/TAES.2016.140900.

李秀友, 薛永华, 黄勇, 等. 基于不确定集的稳健MIMO雷达波形设计算法[J]. 电子与信息学报, 2016, 38(10): 2445-2452. doi: 10.11999/JEIT151425.

LI Xiuyou, XUE Yonghua, HUANG Yong, et al. Robust MIMO radar waveform design algorithm based on uncertainty set[J]. Journal of Electronics Information Technology, 2016, 38(10): 2445-2452. doi: 10.11999/ JEIT151425.

LIU Bo, HE Zishu, ZENG Jiankui, et al. Polyphase orthogonal code design for MIMO radar systems[C]. Proceedings of CIE International Conference on Radar, Shanghai, China, 2006: 1-4. doi: 10.1109/ICR.2006.343409.

HE H, STOICA P, LI J, et al. Designing unimodular sequence sets with good correlations-including an application to MIMO radar[J]. IEEE Transactions on Signal Processing, 2009, 57(11): 4391-4405. doi: 10.1109/TSP.2009.2025108.

胡亮兵, 刘宏伟, 吴顺君. 基于约束非线性规划的MIMO雷达正交波形设计[J]. 系统工程与电子技术, 2011, 33(1): 64-68. doi: 10.3969/j.issn.1001-506X.2011.01.13.

HU Linagbing, LIU Hongwei, and WU Shunjun. Orthogonal waveform design for MIMO radar via constrained nonlinear programming[J]. Systems Engineering and Electronics, 2011, 33(1): 64-68. doi: 10.3969/j.issn.1001-506X.2011.01.13.

李玉翔, 任修坤, 孙扬, 等. 一种循环迭代的宽带MIMO雷达正交稀疏频谱波形设计方法[J]. 电子与信息学报, 2017, 39(4): 2445-2452. doi: 10.11999/JEIT160597.

LI Yuxiang, REN Xiukun, SUN Yang, et al. Cyclic iterative method for wideband MIMO radar orthogonal sparse frequency waveform design[J]. Journal of Electronics Information Technology, 2017, 39(4): 2445-2452. doi: 10.11999/JEIT160597.

GRIEP K R, RITCEY J A, and BURLINGAME J J. Poly-phase codes and optimal filters for multiple user ranging[J]. IEEE Transactions on Aerospace and Electronic Systems, 1995, 31(2): 752-767. doi: 10.1109/7.381922.

HU Liangbing, LIU Hongwei, FENG Dazheng, et al. Optimal mismatched filter bank design for MIMO radar via convex optimization[C]. Proceedings of International Conference on Waveform Diversity and Design, Ontario, Canada, 2010: 126-131. doi: 10.1109/WDD.2010.5592400.

AITTOMAKI T and KOIVUNEN V. Mismatched filter design and interference mitigation for MIMO radars[J]. IEEE Transactions on Signal Processing, 2017, 65(2): 454-466.

ANTONIOU A and LU W S. Practical Optimization: Algorithm and Engineering Applications[M]. New York: Springer, 2007: 206-207.

NOCEDAL J and WRIGHT J S. Numerical Optimization [M]. New York: Springer, 1999: 224-226.

XU Leilei, LIU Hongwei, YIN Kuiying, et al. Joint design of phase coded waveform and mismatched filter[C]. Proceedings of International Conference on Radar, Johannesburg, South Africa, 2015: 32-36. doi: 10.1109/ RadarConf.2015.7411849.

AUBRY A, MAIO A D, JIANG B, et al. Ambiguity function shaping for cognitive radar via complex quartic optimization [J]. IEEE Transactions on Signal Processing, 2013, 61(22): 5603-5619. doi: 10.1109/TSP.2013.2273885.

施引文献

资源附件(0)

访问统计