空时自适应处理张量波束成形器的外积合成法

doi:10.7527/S1000-6893.2019.22939

电子电气工程与控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

空时自适应处理张量波束成形器的外积合成法

毕权杨, 李旦, 张建秋

复旦大学智慧网络系统研究中心和电子工程系, 上海 200433

收稿日期:2019-01-25 修回日期:2019-03-04 出版日期:2019-10-15 发布日期:2019-06-24
通讯作者: 张建秋 E-mail:jqzhang@fudan.ac.cn
基金资助:
国家自然科学基金（61571131，11827808）

An outer product synthesis approach to tensor beamformer for space-time adaptive processing

BI Quanyang, LI Dan, ZHANG Jianqiu

The Research Center of Smart Networks and Systems and Department of Electronic Engineering, Fudan University, Shanghai 200433, China

Received:2019-01-25 Revised:2019-03-04 Online:2019-10-15 Published:2019-06-24
Supported by:
National Natural Science Foundation of China (61571131, 11827808)

摘要/Abstract

摘要： 为了解决空时自适应处理（Space-Time Adaptive Processing，STAP）对足量平稳训练快拍的要求，给出了一种设计STAP张量波束成形器的新算法——空时自适应处理张量子波束合成（TSS-STAP）法。分析表明：STAP中所需要的张量波束成形器，可首先在张量的各个子维度上分别进行子波束成形器的设计，然后再由张量的外积运算合成各子波束成形器而得到。进一步分析表明：由于本文算法可在较低自由度（DoF）的子维度上对张量波束成形器进行设计，因此降低了设计所需要的训练快拍数和计算复杂度，同时也实现了有效的去相关处理，使得其在非均匀杂波环境下有更好的目标检测性能。在仿真实验中，所提算法有效提升了目标检测结果，同时降低了目标检测所消耗的时间。

关键词: 空时自适应处理, 张量子波束合成, 模R展开, 低秩滤波器, 波束成形器

Abstract: In order to solve the requirement of Space-Time Adaptive Processing (STAP) for a sufficient number of stationary training snapshots. In this paper, a new method, named as Tensor Sub-beam Synthesis-STAP (TSS-STAP), for designing STAP tensor beamformer is proposed. Analysis shows that the tensor beamformer required in STAP can be synthesized by the tensor outer product operation of the sub-beamformers, where each of the sub-beamfomer is designed in the each sub-dimension of a tensor, since the proposed beamformer is designed in the sub-dimension of a tensor which has lower Degrees of Freedom (DoF), so that the required training snapshots and computational complexity are reduced. Moreover, it is also shows that the proposed beamformer can effectively do decorrelation processing, so that a better target detection performance in non-uniform clutter environment is obtained. Simulation results show that the proposed method effectively improves the target detection result and reduces the time consumed by the target detection.

Key words: STAP, tensor sub-beam synthesis, model-R decomposition, low rank filter, beamformer

中图分类号:

V243.2

毕权杨, 李旦, 张建秋. 空时自适应处理张量波束成形器的外积合成法[J]. 航空学报, 2019, 40(10): 322939-322939.

BI Quanyang, LI Dan, ZHANG Jianqiu. An outer product synthesis approach to tensor beamformer for space-time adaptive processing[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2019, 40(10): 322939-322939.

参考文献 24

[1]	BRENNAN L E, REED L S. Theory of adaptive radar[J]. IEEE Transactions on Aerospace and Electronic Systems, 1973, AES-9(2):237-252.
[2]	REED I S, MALLETT J D, BRENNAN L E. Rapid convergence rate in adaptive arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1974, AES-10(6):853-863.
[3]	KIRSTEINS I P, TUFTS D W. Adaptive detection using low rank approximation to a data matrix[J]. IEEE Transactions on Aerospace and Electronic Systems, 1994, 30(1):55-67.
[4]	RICHARDSON P G. STAP covariance matrix structure and its impact on clutter plus jamming suppression solutions[J]. Electronics Letters, 2001, 37(2):118-119.
[5]	SEN S. Low-rank matrix decomposition and spatio-temporal sparse recovery for STAP radar[J]. IEEE Journal of Selected Topics in Signal Processing, 2015, 9(8):1510-1523.
[6]	PECKHAM C D, HAIMOVICH A M, AYOUB T F, et al. Reduced-rank STAP performance analysis[J]. IEEE Transactions on Aerospace and Electronic Systems, 2000, 36(2):664-676.
[7]	GINOLHAC G, FORSTER P. Performance analysis of a robust low-rank STAP filter in low-rank Gaussian clutter[C]//2010 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ:IEEE Press, 2010:2746-2749.
[8]	BOIZARD M, GINOLHAC G, PASCAL F, et al. A new tool for multidimensional low-rank STAP filter:Cross HOSVD[C]//2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO). Piscataway, NJ:IEEE Press, 2012:1324-1328.
[9]	HAARDT M, ROEMER F, DEL G G. Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems[J]. IEEE Transactions on Signal Processing, 2008, 56(7):3198-3213.
[10]	BRIGUI F, BOIZARD M, GINOLHAC G, et al. New low-rank filters for MIMO-STAP based on an orthogonal tensorial decomposition[J]. IEEE Transactions on Aerospace and Electronic Systems, 2018, 54(3):1208-1220.
[11]	KOLDA T G, BADER B W. Tensor decompositions and applications[J]. SIAM Review, 2009, 51(3):455-500.
[12]	李阳. 张量理论及其在阵列处理中的应用研究[D]. 上海:复旦大学, 2014:51-72. LI Y. Tensor theory and its application to array signal processing[D]. Shanghai:Fudan University, 2014:51-72(in Chinese).
[13]	MELVIN W L. A STAP overview[J]. IEEE Aerospace and Electronic Systems Magazine, 2004, 19(1):19-35.
[14]	SALAS-NATERA M A, RODRÍGUEZ-OSORIO R M, HARO ARIET L D, et al. Novel reception and transmission calibration technique for active antenna array based on phase center estimation[J]. IEEE Transactions on Antennas and Propagation, 2017, 65(10):5511-5522.
[15]	LI J, JIN M, ZHENG Y. Transmit and receive array gain-phase error estimation in bistatic MIMO radar[J]. IEEE Antennas and Wireless Propagation Letters, 2015, 14:32-35.
[16]	LIU A, SUN H, TEH K C, et al. Robust space-time adaptive processing for nonhomogeneous clutter in the presence of model errors[J]. IEEE Transactions on Aerospace and Electronic Systems, 2016, 52(1):155-168.
[17]	AHMAD M I, LIU Z W, XU Y G. Minimum variance beamforming using polarization sensitive array[C]//2008 11th IEEE Singapore International Conference on Communication Systems. Piscataway, NJ:IEEE Press, 2008:489-492.
[18]	虞翔. 张量波束成形的理论及其应用研究[D]. 上海:复旦大学, 2017:11-24. YU X. Tensor beamforming theory and its application[D]. Shanghai:Fudan University. 2017:11-24(in Chinese).
[19]	CAPON J. High-resolution frequency-wavenumber spectrum analysis[J]. Proceedings of the IEEE, 1969, 57(8):1408-1418.
[20]	GABRIEL W F. Using spectral estimation techniques in adaptive processing antenna systems[J]. IEEE Transactions on Antennas and Propagation, 1986, 34(3):291-300.
[21]	杨明. 矩阵论[M]. 武汉:华中科技大学出版社, 2003:71-75. YANG M. Matrix theory[M]. Wuhan:Huazhong University of Science & Technology Press, 2003:71-75(in Chinese).
[22]	DAVIE A M, STOTHERS A J. Improved bound for complexity of matrix multiplication[J]. Proceedings of the Royal Society of Edinburgh Section A:Mathematics, 2013, 143(2):351-369.
[23]	张燕. 地面运动目标指示雷达空时自适应处理(STAP)算法研究[D]. 北京:中国科学院大学, 2010:21-32 ZHANG Y. Study of space-time adaptive processing algorithms on ground moving target indication radar[D]. Beijing:University of Chinese Academy of Sciences, 2010:21-32(in Chinese).
[24]	余英林. 数字图像处理与模式识别[M]. 广州:华南理工大学出版社, 1990:91-94. YU Y L. Digital image processing and pattern recognition[M]. Guangzhou:South China University of Technology Press, 1990:91-94(in Chinese).

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

空时自适应处理张量波束成形器的外积合成法

An outer product synthesis approach to tensor beamformer for space-time adaptive processing

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 24

相关文章 14

编辑推荐

Metrics

本文评价

[1]	章涛, 钟伦珑, 来燃, 郭骏骋. 基于稀疏贝叶斯学习的字典失配杂波空时谱估计方法[J]. 航空学报, 2021, 42(6): 324592-324592.
[2]	于佳, 沈明威, 吴迪, 朱岱寅. 基于3DT的空时自适应单脉冲参数估计算法[J]. 航空学报, 2016, 37(5): 1580-1586.
[3]	周延, 冯大政, 朱国辉. 空域数据重排的后多普勒自适应处理方法[J]. 航空学报, 2015, 36(9): 3020-3026.
[4]	陈展野, 周宇, 张林让, 赵健, 谷亚彬. 非均匀环境下利用单个数据集的STAP算法[J]. 航空学报, 2015, 36(12): 3938-3946.
[5]	王珽, 赵拥军. 基于三迭代与二阶锥规划的机载MIMO雷达稳健降维STAP方法[J]. 航空学报, 2015, 36(11): 3706-3714.
[6]	曹杨, 冯大政, 水鹏朗, 向聪. 机载MIMO雷达空时自适应杂波对消器[J]. 航空学报, 2013, 34(7): 1654-1662.
[7]	李海, 王小寒, 吴仁彪. 基于RELAX的空中多机动目标检测与参数估计[J]. 航空学报, 2013, 34(4): 873-881.
[8]	田斌, 朱岱寅, 朱兆达. 一种快速自适应角度-多普勒补偿算法[J]. 航空学报, 2011, 32(9): 1705-1713.
[9]	吕晖, 冯大政, 和洁, 向聪. 一种简化的机载MIMO雷达杂波特征相消器[J]. 航空学报, 2011, 32(5): 866-872.
[10]	翟伟伟;张弓;刘文波. 基于杂波子空间估计的MIMO雷达降维STAP研究[J]. 航空学报, 2010, 31(9): 1824-1831.
[11]	赵军;朱兆达. 非正侧视阵列机载雷达多空间角补偿算法[J]. 航空学报, 2010, 31(11): 2216-2221.
[12]	李京生;孙进平;毛士艺. 一种基于协方差矩阵加权的阵元误差补偿STAP处理[J]. 航空学报, 2009, 30(7): 1292-1297.
[13]	赵军;朱兆达. 一种基于角度-多普勒补偿的均匀圆形天线机载雷达杂波抑制方法[J]. 航空学报, 2009, 30(5): 932-937.
[14]	侯颖妮;李道京;洪文. 基于稀疏阵列和码分信号的机载预警雷达STAP研究[J]. 航空学报, 2009, 30(4): 732-737.