基于权值约束变换误差的虚拟阵列波束形成
发布时间：2018-11-04 12:17
【摘要】：针对内插变换应用于波束形成时,适用角度范围受限的问题,提出了一种利用权值约束变换误差的改进算法.该方法将权值和变换误差约束为近似正交的关系,在虚拟阵列接收信号的协方差矩阵上加载变换误差协方差矩阵,改善了变换误差过大时波束形成性能下降的问题.仿真结果表明,改进后的算法应用于大角度内插变换波束形成时,在干扰处仍能形成稳定的较深的零点,增加了虚拟阵列波束形成的输出信干噪比(Signal to Interference and Noise Ratio,SINR).与现有方法相比,该方法增加了内插变换应用于虚拟阵列波束形成时的适用角度范围,且能够补偿阵列本身带来的误差,计算复杂度较低.
[Abstract]:In order to solve the problem of limited angle range when interpolation transform is applied to beamforming, an improved algorithm is proposed, which uses weights to constrain the transformation errors. The relationship between weights and transformation errors is approximately orthogonal, and the transformation error covariance matrix is loaded on the covariance matrix of the received signal of virtual array, which improves the degradation of beamforming performance when the transformation error is too large. The simulation results show that when the improved algorithm is applied to large angle interpolation beamforming, it can still form a stable deep zero point at the interference point, and increase the output signal-to-noise ratio (Signal to Interference and Noise Ratio,SINR) of virtual array beamforming. Compared with the existing methods, the proposed method increases the applicable angle range of interpolation transformation in beamforming of virtual arrays, and can compensate for the errors caused by the array itself, and the computational complexity is lower.
【作者单位】： 上海交通大学电子工程系;微米/纳米加工技术国家级重点实验室;
【基金】：国家自然科学基金(61571289,61571298,61471240)
【分类号】：TN911.7
，
本文编号：2309792
[Abstract]:In order to solve the problem of limited angle range when interpolation transform is applied to beamforming, an improved algorithm is proposed, which uses weights to constrain the transformation errors. The relationship between weights and transformation errors is approximately orthogonal, and the transformation error covariance matrix is loaded on the covariance matrix of the received signal of virtual array, which improves the degradation of beamforming performance when the transformation error is too large. The simulation results show that when the improved algorithm is applied to large angle interpolation beamforming, it can still form a stable deep zero point at the interference point, and increase the output signal-to-noise ratio (Signal to Interference and Noise Ratio,SINR) of virtual array beamforming. Compared with the existing methods, the proposed method increases the applicable angle range of interpolation transformation in beamforming of virtual arrays, and can compensate for the errors caused by the array itself, and the computational complexity is lower.
【作者单位】： 上海交通大学电子工程系;微米/纳米加工技术国家级重点实验室;
【基金】：国家自然科学基金(61571289,61571298,61471240)
【分类号】：TN911.7
，
本文编号：2309792
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