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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