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Diagonally loaded SMI algorithm based on inverse matrix recursion
作者单位:Cao Jianshu(Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P. R. China) ; Wang Xuegang(Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P. R. China) ;
摘    要:The derivation of a diagonally loaded sample-matrix inversion (LSMI) algorithm on the busis of inverse matrix recursion (i.e.LSMI-IMR algorithm) is conducted by reconstructing the recursive formulation of covariance matrix. For the new algorithm, diagonal loading is by setting initial inverse matrix without any addition of computation. In addition, a corresponding improved recursive algorithm is presented, which is low computational complexity. This eliminates the complex multiplications of the scalar coefficient and updating matrix, resulting in significant computational savings. Simulations show that the LSMI-IMR algorithm is valid.

收稿时间:28 July 2005. 

Diagonally loaded SMI algorithm based on inverse matrix recursion
Authors:Cao Jianshu  Wang Xuegang
Institution:Coll. of Electronic Engineering, Univ. of Electronic Science and Technology, Chengdu 610054, P. R. China
Abstract:The derivation of a diagonally loaded sample-matrix inversion (LSMI) algorithm on the busis of inverse matrix recursion (i.e.LSMI-IMR algorithm) is conducted by reconstructing the recursive formulation of covariance matrix. For the new algorithm, diagonal loading is by setting initial inverse matrix without any addition of computation. In addition, a corresponding improved recursive algorithm is presented, which is low computational complexity. This eliminates the complex multiplications of the scalar coefficient and updating matrix, resulting in significant computational savings. Simulations show that the LSMI-IMR algorithm is valid.
Keywords:Robust adaptive beamforming  Space-time adaptive processing (STAP)  Diagonal loading  Inverse matrix recursion
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