基于连续差联合阵列的非等距线阵无模糊波束形成方法

黄岩; 廖桂生; 李军; 李婕

doi:10.11999/JEIT150321

基于连续差联合阵列的非等距线阵无模糊波束形成方法

doi: 10.11999/JEIT150321

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出版历程
- 收稿日期: 2015-03-17
- 修回日期: 2015-08-21
- 刊出日期: 2015-12-19

Non-ambiguity Beamforming of Nonuniform Linear Array Based on Consecutive Difference Coarray

摘要

摘要: 该文针对非等距线阵波束形成产生栅瓣的问题，提出一种基于连续差联合阵列的非等距线阵无模糊波束形成方法。该方法基于连续差联合阵列对非等距线阵进行阵形优化分析，利用连续差联合阵列与连续波程差一一对应的特性，扩展得到非等距线阵Toeplitz化的协方差矩阵。根据线性约束最小方差(LCMV)准则，可以直接利用该协方差矩阵得到稳健自适应波束形成。由于重构的协方差矩阵与相同孔径等距线阵的协方差矩阵相似，不会产生相位模糊，避免了波束形成栅瓣的影响。大量的仿真实验证明了该文方法的稳健性能。
- 信号处理 /
- 差联合阵列 /
- 非等距线阵 /
- 无模糊波束形成
Abstract: As the beamforming of Nonuniform Linear Array (NLA) may occur grating lobes phenomenon, a beamforming method is proposed for working on the NLA with consecutive difference coarray. Firstly, this method analyzes the array optimization of the NLA based on consecutive difference coarray. Additionally, it can be concluded that the consecutive difference coarray is corresponding to the consecutive wavepath difference, which is applied to reconstruct the Toeplitz covariance matrix of the NLA. According to the Least Constraint Mean Variance (LCMV) rule, the reconstructed covariance matrix can directly be used for robust adaptive beamforming. Due to the similarity between the reconstructed covariance matrix and the covariance matrix of Uniform Linear Array (ULA) with the same aperture, the phase ambiguity will not happen and the grating lobes phenomenon will not occur. Extensive simulations show the robust effectiveness of the proposed method.
- Signal processing /
- Difference coarray /
- Nonuniform linear array /
- Non-ambiguity beamforming

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参考文献(19)

徐艳红, 史小卫, 许京伟, 等. 基于响应矢量优化的共形阵列稳健波束形成[J]. 电子与信息学报, 2014, 36(9): 2220-2226.

Xu Yan-hong, Shi Xiao-wei, Xu Jing-wei, Li Ping, et al.. Robust Beamforming Based on Response Vector Optimization for Conformal Array[J]. Journal of Electronics Information Technology, 2014, 36(9): 2220-2226.

杨涛, 苏涛, 何学辉. 基于波束域导向矢量估计的稳健自适应波束形成方法[J]. 电子与信息学报, 2013, 35(11): 2758-2763.

Yang Tao, Su Tao, He Xue-hui, et al.. Robust Adaptive Beamforming Based on Beamspace Steering Vector Estimation [J]. Journal of Electronics Information Technology, 2013, 35(11): 2758-2763.

杨志伟, 贺顺, 廖桂生, 等. 子空间重构的一类自适应波束形成算法[J]. 电子与信息学报, 2012, 34(5): 1115-1119.

Yang Zhi-wei, He Shun, Liao Gui-sheng, et al.. Adaptive Beam-forming Algorithm with Subspace Reconstructing[J]. Journal of Electronics Information Technology, 2012, 34(5): 1115-1119.

Wang X, Aboutanios E, Trinkle M, et al.. Reconfigurable adaptive array beamforming by antenna selection[J]. IEEE Transactions on Signal Processing, 2014, 62(9): 2385-2396.

Wang X, Aboutanios E, and Amin M G. Thinned array beampattern synthesis by iterative soft-thresholding-based optimization algorithms[J]. IEEE Transactions on Antennas and Propagation, 2014, 62(12): 6102-6113.

Friedlander B. On transmit beamforming for MIMO radar[J]. IEEE Transactions on Aerospace and Electronic Systems,

Hua G and Abeysekera S S. MIMO radar transmit beampattern design with ripple and transition band control [J]. IEEE Transactions on Signal Processing, 2013, 61(11): 2963-2974.

Tang Y, Ma X, Sheng W, et al.. Transmit beamforming for DOA estimation based on Cramer-Rao bound optimization in subarray MIMO radar[J]. Signal Processing, 2014, 101(2): 42-51.

Hoctor R T and Kassam S A. The unifying role of the coarray in aperture synthesis for coherent and incoherent and imaging[J]. Proceedings of the IEEE, 1990, 12(10): 735-752.

Pal P and Vaidyanathan P P. Nested arrays: a novel approach to array processing with enhanced degrees of freedom[J]. IEEE Transactions on Signal Processing, 2010, 58(8): 4167-4181.

Moffet A. Minimum-redundancy linear arrays[J]. IEEE Transactions on Antennas and Propagation, 1968, 16(8): 172-175.

Kischner A, Siart U, Guetlein J, et al.. A design-algorithm for MIMO radar antenna setups with minimum redundancy[C]. 2013 IEEE International Conference on Microwaves, Communications, Antennas and Electronics Systems (COMCAS 2013), Tel Aviv, Israel, 2013: 1-5.

Friedlander B and Weiss A J. Detection finding using spatial smoothing with interpolated arrays[J]. IEEE Transactions on Aerospace and Electronic Systems, 1992, 28(8): 574-587.

Ma W K, Hsieh T H, and Chi C Y. DOA estimation of quasi-stationary signals via Khatri-Rao subspace[C]. Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Taipei, 2009: 2165-2168.

Capon J. High-resolution frequency-wavenumber spectrum analysis[J]. Proceedings of the IEEE, 1969, 57(8): 1408-1418.

, 48(10): 3376-3388.

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