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一种WCPO与cFastICA联合的盲波束形成算法 被引量:1

Blind Beamforming Algorithm of Joint WCPO with cFastICA
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摘要 针对较大的导向矢量失配下波束形成算法性能下降的问题,有基于复数快速独立分量分离算法(cFastICA)的盲波束形成算法,但cFastICA算法存在信号分离次序不确定的问题。结合最差性能最优化(WCPO)稳健波束形成算法的优点,给出了一种联合的盲波束形成算法。该方法首先根据期望信号来向等先验信息估计其导向矢量,然后利用WCPO准则完成cFastICA算法权矢量的初始化。仿真实验表明,该算法有效保证了期望信号提取的确定性,对阵列误差模型具有较好的稳健性,且在强干扰下具有较好的合成性能。 Aiming at the beamforming performance decreased on the condition of the large steering vector mismatching, the blind beamforming algorithm based on cFastICA was proposed.However cFastICA algorithm has the problem of signal separation uncertainty. In this paper, we take the advantages of the worst-cause robust beamforming and propose a union blind beamforming. This algorithm estimates the desired signal steering vector with direction of arrival prior informance, and then initializes separation vector by using WCPO. The simulation demonstrates that this algorithm can guarantee certainty of the desired signal capture problem well, has the better robustness in antenna array error model and better performance when strong jamming exists.
出处 《通信对抗》 2014年第1期7-11,15,共6页 Communication Countermeasures
基金 国家自然科学基金(No.61201381)
关键词 cFastICA 最差性能最优化 盲波束形成 cFastlCA WCPO blind beamforming
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