Title :
A novel algorithm for adaptive beamforming based on projection transformation
Author :
Yongjian, Luo ; Tao, Zhang ; Shouhong, Zhang
Author_Institution :
Nat. Lab of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
An improved projection transformation method for enhancing the performance of the linearly constrained minimum variance beamformer is presented. The novel algorithm uses a projection operator, which is the basis vectors for the estimated signal-plus-interference subspace obtained by searching for it in the array manifold space by means of priori knowledge. The new algorithm can further reduce the computational complexity and eliminate the signal cancellation when a desired signal is contained in the correlation matrix. Moreover, the new method has a good beam pattern with lower sidelobe level and faster convergence speed in the case that there exist amplitude and phase errors and/or colored noise. The advantages are confirmed by computer simulations
Keywords :
array signal processing; computational complexity; convergence of numerical methods; correlation methods; direction-of-arrival estimation; interference suppression; matrix algebra; noise; parameter estimation; DOA; adaptive beamforming algorithm; amplitude errors; array manifold space; beam pattern; color noise; computational complexity reduction; computer simulations; convergence speed; correlation matrix; linear array; linearly constrained minimum variance beamformer; phase errors; projection operator; projection transformation; sidelobe level; signal-plus-interference subspace estimation; vectors; Adaptive arrays; Array signal processing; Background noise; Colored noise; Convergence; Covariance matrix; Eigenvalues and eigenfunctions; Sensor arrays; Signal processing algorithms; Signal to noise ratio;
Conference_Titel :
Radar, 2001 CIE International Conference on, Proceedings
Conference_Location :
Beijing
Print_ISBN :
0-7803-7000-7
DOI :
10.1109/ICR.2001.984775
