【摘要】 在机载多通道阵列雷达空时自适应处理中,权值向量的求解是计算量最大的环节。对于常用的采样矩阵求逆算法,权值向量的计算目前主要通过QR分解实现,本文对比研究了四种复数QR分解算法,Gram-Schmidt算法、修正Gram-Schmidt算法、Householder变换算法和Givens旋转变换算法,通过在ADSP-TS201上的实现,对比了四种算法的计算效率及数值稳定性,并通过仿真模拟的多通道回波数据,验证了DSP实现结果的有效性。更多还原

【Abstract】 The computation load of calculating weighting vector was the heaviest in the space time adaptive processing of airborne multi-channel array radar. With sample matrix inversion(SMI) algorithm,QR decomposition was usually used to calculate weighting vectors.Four types of QR decomposition algorithm,Gram-Schmidt, modified Gram-Schmidt,Householder transform and Givens rotation, were studied in this paper. Through realization with ADSP-TS201, the computation efficiency and numerical stability of four algorithms were compared.The realization results were validated with simulated multi-channel echo data.更多还原