Title :
A Novel Robust Cyclic Adaptive Beamforming Algorithm
Author :
Lu, Dan ; Wu, Renbiao ; Su, Zhigang ; Feng, Qing
Author_Institution :
Key Lab for Radar Signal Process., Xidian Univ., Xi´´an
Abstract :
Cyclic adaptive beamforming (CAB) algorithm becomes an efficient blind beamforming algorithm due to its low computation complexity and fast convergence rate. However, the robustness of CAB is not enough. To overcome the shortcomings, a novel robust CAB algorithm is presented. The new algorithm is based on a combination of the ideas in the CAB algorithm and the robust capon beamforming (RCB). It still belongs to robust CAB algorithm based on diagonal loading, but the amount of diagonal loading can be calculated precisely based on the uncertainty set of steering vectors. Experiment results show the feasibility of the new algorithm
Keywords :
array signal processing; computational complexity; vectors; blind beamforming algorithm; computation complexity; convergence rate; diagonal loading; robust capon beamforming; robust cyclic adaptive beamforming algorithm; steering vectors; Array signal processing; Convergence; Data models; Frequency; Interference constraints; Interference suppression; Radar signal processing; Robustness; Signal processing algorithms; Uncertainty;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.344543