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阵元位置互质的线性阵列:阵列校正和波束形成

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该文研究了阵元位置互质的线性阵列(CLA)的阵列校正和波束形成问题.在假设CLA天线单元部分校准的条件下,基于同时干扰定位与阵列校正(SILAC)技术,设计了一种适用于CLA的阵列校正和波束形成方法:CLA-SILAC-INCM算法.从理论上分析证明了,当CLA中包含有Lc≥3个完全校准的天线单元,使用SILAC技术可以高精度无模糊地实现干扰源角度和阵列天线幅相误差估计,并在此基础上完成干扰噪声协方差矩阵(INCM)重建和波束形成最优权向量构造.通过仿真实验验证了,提出的CLA-SILAC-INCM算法具有比其他常用算法更好的性能,尤其是信噪比接近干噪比时,CLA-SILAC-INCM算法的优势更为明显.
Linear Coprime Sensor Location Arrays:Array Calibration and Beamforming
Focusing on investigating the problems of array calibration and beamforming for Coprime Location Arrays(CLA),a new beamforming algorithm,which is called CLA-SILAC-INCM algorithm is proposed for the partly calibrated CLAs,by exploiting the Simultaneous Interference Localization and Array Calibration(SILAC)technique.Theoretical analysis shows that when the CLA contains not less than 3 fully calibrated antenna elements,highly accurate and unambiguous estimation for interference direction and array gain-phase error vector can be obtained using the SILAC technique.Afterward,the Interference plus Noise Covariance Matrix(INCM)is reconstructed and the optimal beamforming weighting vector is computed.Simulation results show that the proposed CLA-SILAC-INCM algorithm exhibits better performance compared with existing algorithms,especially when the signal-to-noise ratio is close to interference-to-noise ratio.

Sparse arrayRobust adaptive beamformingArray calibration

梁梦薇、何劲、舒汀、郁文贤

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上海交通大学电子信息与电气工程学院 上海 200240

稀疏阵列 自适应波束形成 阵列校正

国家自然科学基金

61771302

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(1)
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