发射分集MIMO雷达融合成像处理方法

王怀军; 许红波; 朱宇涛; 粟毅

doi:10.3724/SP.J.1146.2008.01809

发射分集MIMO雷达融合成像处理方法

doi: 10.3724/SP.J.1146.2008.01809

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出版历程
- 收稿日期: 2008-12-29
- 修回日期: 2009-09-21
- 刊出日期: 2010-01-19

Fusion Imaging Method for MIMO Radar with Transmit Diversity

摘要

摘要: 发射分集MIMO雷达具有潜在的高分辨成像能力，但成像时存在高旁瓣问题。为分析它的成像性能，该文首先建立了发射分集MIMO雷达的成像模型。通过空间频谱的支撑区分布，阐明了分集成像的高分辨性能，并着重分析了其旁瓣特性。基于谱外推的思想，提出了一种发射分集MIMO雷达融合成像处理方法，该方法能够实现MIMO雷达高分辨成像同时具有良好的旁瓣性能。仿真实验验证了该文所提方法的有效性。
- MIMO雷达; 发射分集; 融合成像; 空间频谱
Abstract: MIMO radar with transmit diversity has the potential of high-resolution imaging, but the imaging results suffer from huge sidelobes. In order to analyze the imaging performance of MIMO radar, this paper establishes an imaging model firstly. The high-resolution ability of diversity is demonstrated from spatial spectral coverage, and the sidelobe performance of diversity image is analyzed in particular. Based on spectral extrapolation, a fusion imaging method for MIMO radar with transmit diversity is proposed. This method can achieve high-resolution images with good sidelobe performance. Finally, simulations are performed in order to validate the effectiveness of the proposed method.

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[1] Fishler E, Haimovich A, and Blum R, et al.. MIMO radar: anidea whose time has come. Proceedings of the IEEE RadarConference, Philadelphia, PA, Apr. 2004: 71-78. [2] Li J and Stoica P. MIMO radar with colocated antennas.IEEE Signal Processing Magazine, 2007, 24(5): 106-114. [3] Haimovich A M, Blum R S, and Cimini L J. MIMO radarwith widely separated antennas[J].IEEE Signal ProcessingMagazine.2008, 25(1):116-129 [4] Robey F C, Coutts S, and Weikle D, et al.. MIMO radartheory and experimental results. Conference Record of theThirty-Eighth Asilomar Conference on Signals, System andComputers, California, Nov 2004: 300-304. [5] Li J, Stoica P, and Zheng X. Signal synthesis and receiverdesign for MIMO radar imaging[J].IEEE Transactions onSignal Processing.2008, 56(8):3959-3968 [6] Wang H J and Su Y. Narrowband MIMO radar imaging withtwo orthogonal linear T/R arrays. The 9th internationalconference on signal processing proceedings, Beijing, Oct.2008: 2513-2516. [7] Li J, Xu L, and Stoica P, et al.. Range compression andwaveform optimization for MIMO radar: A Cramer-Raobound based study[J].IEEE Transactions on Signal Processing.2008, 56(1):218-232 [8] Murch R D and Chan T K K. Improving microwave imagingby enhancing diffraction tomography[J].IEEE Transactions onMicrowave and Techniques.1996, 44(3):379-388 [9] 王怀军, 粟毅, 朱宇涛, 等. 基于空间谱域填充的MIMO雷达成像研究. 电子学报, 2009, 37(6): 1242-1246.Wang H J, Su Y, and Zhu Y T, et al.. MIMO radar imagingbased on spatial spectral-domain filling. Acta ElectronicaSinica, 2009, 37(6): 1242-1246. [10] Stankwitz H C and Kosek M R. Sparse-aperture fill for SARusing super-SVA, Proceedings of the IEEE National RadarConference, Ann Arbor, MI, USA, May 1996: 70-75. [11] Larsson E G, Stoica P, and Li J. Amplitude spectrumestimation for two-dimensional gapped data[J].IEEETransactions on Signal Processing.2002, 50(6):1343-1354 [12] Nuthalapati R M. High resolution reconstruction of ISARimages[J].IEEE Transactions on Aerospace and ElectronicSystems.1992, 28(2):462-472 [13] Moore T G, Zuerndorfer B W, and Burt E C. Enhancedimagery using spectral-estimation-based techniques. LincolnLaboratory Journal, 1997, 10(2): 171-186. [14] 皇甫堪, 陈建文, 楼生强. 现代数字信号处理. 北京: 电子工业出版社, 2003: 220-222.Huang Fu-kan, Chen J W, and Lou S Q. Modern DigitalSignal Processing. Beijing: Publishing house of electronicsindustry, 2003: 220-222. [15] Deng H. Polyphase code design for orthogonal netted radarsystems[J].IEEE Transactins on Signal Processing.2004, 52(11):3126-3135

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