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An Adaptive Weighted Spatial Smoothing Algorithm
Utilizing Virtual Beamforming |
Ding Qian-jun①②; Wang Yong-liang②; Zhang Yong-shun①; Chen Hui② |
①Missile Institute, Air Force Engineering University, Sanyuan 713800, China;②Key Research Lab, Air Force Radar Academy, Wuhan 430010, China |
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Abstract An adaptive weighted spatial smoothing algorithm is developed for adaptive arrays. By constructing a virtual issue of adaptive beamforming, the weight vector is obtained to weight the covariance matrixes of subarrays. Then, weighted spatial smoothing is processed and beamforming follows that. The theoretical analysis and simulation results show that the new algorithm can decorrelate the desired signal and the coherent interferences more efficiently, with the result that the number of sub-arrays needed decreases and the array aperture loss is reduced in spatial smoothing.
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Received: 10 March 2005
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