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STAP method based on atomic norm minimization with array amplitude-phase error calibration 被引量:3
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作者 PANG Xiaojiao ZHAO Yongbo +2 位作者 CAO Chenghu XU Baoqing HU Yili 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2021年第1期21-30,共10页
In this paper,a space-time adaptive processing(STAP)method is proposed for the airborne radar with the array amplitude-phase error considered,which is based on atomic norm minimization(ANM).In the conventional ANM-bas... In this paper,a space-time adaptive processing(STAP)method is proposed for the airborne radar with the array amplitude-phase error considered,which is based on atomic norm minimization(ANM).In the conventional ANM-based STAP method,the influence of the array amplitude-phase error is not considered and restrained,which inevitably causes performance deterioration.To solve this problem,the array amplitude-phase error is firstly estimated.Then,by pre-estimating the array amplitude-phase error information,a modified ANM model is built,in which the array amplitude-phase error factor is separated from the clutter response and the clutter covariance matrix(CCM)to improve the estimation accuracy of the CCM.To prove that the atomic norm theory is applicable in the presence of the array amplitude-phase error,the clutter sparsity is analyzed in this paper.Meanwhile,simulation results demonstrate that the proposed method is superior to the state-of-the-art STAP method.Moreover,the measured data is used to verify the effectiveness of the proposed method. 展开更多
关键词 atomic norm minimization(ANM) space-time adaptive processing(STAP) airborne radar array amplitude-phase error
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