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在采用球不变随机向量(SIRV)建模的非高斯杂波背景下,研究了导向矢量失配或未知时距离扩展目标的检测问题。先假设导向矢量已知,采用广义似然比检验(GLRT)得到每个距离单元的归一化匹配滤波器(NMF)统计量,再将多个距离单元的统计量进行非相干积累得到扩展目标的NMF积累检测器(NMFI),然后通过最大化检测统计量的方法,结合特征值分解技术,对导向矢量进行估计,提出了距离扩展目标的盲NMFI(B-NMFI)。仿真分析表明:当导向矢量失配时,NMFI的检测性能优于GLRT;当导向矢量未知时,B-NMFI能有效地检测目标,并且对不同方位的目标具有很好的鲁棒性。
Under the background of non-Gaussian clutter based on ballistic invariant random vector (SIRV), the problem of detection of guided vector mismatch or unknown distance expansion target is studied. Assuming that the steering vector is known, the normalized matched filter (NMF) statistics of each distance element are obtained by the generalized likelihood ratio test (GLRT), and the statistics of multiple distance elements are non-coherently accumulated to obtain the extended target (NMFI). Then, the NMFI (B-NMFI) is proposed to estimate the steering vector by maximizing the detection statistics and eigenvalue decomposition. Simulation results show that the detection performance of NMFI is better than that of GLRT when the steering vector is mismatched. When the steering vector is unknown, B-NMFI can detect the target effectively and has good robustness to different azimuth targets.