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中文摘要：
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。
英文摘要：
The problem of detecting a range-spread target in a non-Gaussian clutter modeled as a spherically invariant ran- dom vector （SIRV） is investigated when the steer vector is mismatched or unknown. First, the steer vector is assumed known, and the statistics of the normalized matched filter （NMF） of each range cell are obtained by utilizing the generalized likelihood ratio test （GLRT）. The NMF integrator （NMFI） is obtained by integrating incoherently the NMF statistics of the range cells which the range-spread target occupies. Then, the steer vector is estimated using the eigenvalue decomposition and the average phase-angle difference by maximizing the detection statistics of the NMFI. Finally, a blind-NMFI （B-NMFI） is obtained using the estimated steer vector. Simulation results show that the detection performance of the NMFI is better than that of GLRT when the steer vector is mismatched, and the B-NMFI can detect a range-spread target effectively and is robust to detect the targets in diverse orientations when the steer vector is unknown.
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