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为了满足自适应波束形成技术对实时性的要求,将脉动阵应用于波束形成算法中,以实现自适应权向量的实时获取。通过对QR分解采样矩阵求逆算法、混合型QR分解采样矩阵求逆算法和逆QR分解采样矩阵求逆算法的理论分析,利用脉动阵,对输入数据矩阵进行QR分解,得到旋转因子,实现自适应权向量的实时更新。针对三种算法各自的脉动阵进行仿真,结果表明,基于脉动阵的自适应波束形成算法实现了权向量的高速获取,并为后续的工程实践提供了理论依据。
In order to meet the real-time requirement of adaptive beamforming, the pulsation matrix is applied to the beamforming algorithm to realize the real-time acquisition of the adaptive weight vector. Through the QR decomposition sampling matrix inversion algorithm, hybrid QR decomposition sampling matrix inversion algorithm and inverse QR decomposition sampling matrix inversion algorithm theoretical analysis, the use of pulsation matrix, the input data matrix QR decomposition, the rotation factor, to achieve since Real-time updating of vector of weights. The simulation results show that the adaptive beamforming algorithm based on the pulsation matrix realizes the high-speed acquisition of the weight vector and provides the theoretical basis for the subsequent engineering practice.