创新点
在空时自适应信号处理中, 权重向量是通过杂波协方差矩阵的逆和一个导向向量的乘积得到的。为了减少计算权重向量的复杂度, 很多研究都是为了降低计算杂波协方差矩阵逆的计算量。本文将计算该权重向量的计算归结为求解一个线性方程组解, 然后用双共轭梯度法求解该权重向量。分析得到该方法的计算复杂度比直接求逆的方法降低了一个级别。
References
Melvin W L. A STAP overview. IEEE Aerosp Electron Syst Mag, 2004, 19: 19–35
Ma L, Dickson K, McAllister J, et al. QR decomposition-based matrix inversion for high performance embedded MIMO receiver. IEEE Trans Signal Process, 2011, 59: 1859–1867
Cao J, Wang X. New recursive algorithm for matrix inversion. J Syst Eng Electron, 2008, 19: 381–384
Beau S, Marcos S. Range dependent clutter rejection using range-recursive space-time adaptive processing algorithms. Signal Process, 2010, 90: 57–68
Yang X P, Liu Y X, Long T. A pulse-order recursive method for inverse matrix computation applied to space-time adaptive processing. Sci China Inf Sci, 2013, 56: 042312
Fletcher R. Conjugate gradient methods for indefinite systems. In: Watson G A, ed. Numerical Analysis. Berlin/Heidelberg: Springer-Verlag, 1976. 73–89
Joly P, Meurant G. Complex conjugate gradient methods. Numer Math, 1993, 4: 379–406
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Bai, G., Tao, R. & Wang, Y. Bi-conjugate gradient based computation of weight vector in space-time adaptive processing. Sci. China Inf. Sci. 59, 129301 (2016). https://doi.org/10.1007/s11432-016-5591-z
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DOI: https://doi.org/10.1007/s11432-016-5591-z