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2002年第6届信号处理国际会议

作者： li rongfeng wang yongliang wan shanhu key research lab Wuhan Radar Academy Wuhan 430010 China

＜正＞ The presence of random steering vector errors degrades severely the performance of adaptive beamforming, and results in adapted beam patterns with high sidelobes and distorted mainbeams. In this paper, the penalty function is exploited to prevent signal cancellation and remedy beam distortion due to steering vector errors. Computer simulation results are presented for illustration.

关键词： Adaptive array Penalty function Adapted beam pattern

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Combining sum-difference and auxiliary beams for adaptive monopulse in jamming

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Journal of Systems Engineering and Electronics 2013年第3期24卷 372-381页

作者： rongfeng li Can Rao lingyan Dai yongliang wang key research lab Air Force Early Warning Academy

Only in the presence of sidelobe jamming （SLJ）, can the conventional adaptive monopulse technique null the jamming effectively and maintain the monopulse angle estimation accuracy simultaneously. While mainlobe jamming （MLJ） exists, the mainlobe of adaptive pattern will subject to serious distortion, which results in a failure of detecting and tracking targets by monopulse technique. Therefore, a monopulse angle estimation algorithm based on combining sum-difference beam and auxiliary beam is presented. This algorithm utilizes both high gain difference beams and high gain auxiliary beams for cancelling the mainlobe jammer and multiple sidelobe jammers （SLJs） while keeping an adap- tive monopulse ratio. Theoretical analysis and simulation results indicate that the serious invalidation of monopulse technique in MLJ and SLJs scenarios is resolved well, which improves the monopulse angle accuracy greatly. Furthermore, the proposed algorithm is of simple implementation and low computational complexity.

关键词： adaptive beamforming auxiliary beam mainlobe jam- ming monopulse estimation.

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维普期刊数据库

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Adaptive detectors in the Krylov subspace

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Science China(Information Sciences) 2014年第10期57卷 117-127页

作者： liU WeiJian XIE WenChong li rongfeng wang ZeTao wang yongliang College of Electronic Science and Engineering National University of Defense Technology key research lab Wuhan Radar Academy

The validity of the application of the Krylov subspace techniques in adaptive filtering and detection is investigated. A new verification of the equivalence of two well-known methods in the Krylov subspace, namely the multistage Wiener filters(MWF) and the auxiliary-vector filtering(AVF), is given in this paper. The MWF and AVF are incorporated into two well-known detectors, namely, the adaptive matched filter(AMF) and Kelly’s generalized likelihood ratio test(GLRT) including their diagonally loaded versions, which form new *** to the conventional AMF, GLRT, and their diagonally loaded versions as well as the reduced-rank AMF and GLRT, the probabilities of detection(PDs) of the new detectors are improved especially when the sample support is low. More importantly, the new detectors are robust of the rank selection of the clutter subspace compared to the reduced-rank AMF and GLRT. These new detectors all possess asymptotic constant false alarm rate(CFAR) property.

关键词： adaptive matched filter(AMF) auxiliary-vector filtering(AVF) diagonal loading generalized likelihood ratio test(GLRT) Krylov subspace multistage Wiener filters(MWF)

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