非高斯杂波背景中距离扩展目标的盲积累检测器

Abstract

Abstract:

The problem of detecting a range-spread target in a non-Gaussian clutter modeled as a spherically invariant random 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.

Key words: non-Gaussian clutter, range-spread target, generalized likelihood ratio test, detection, maximum likelihood estimation

CLC Number:

GU Xinfeng, JIAN Tao, HE You, HAO Xiaolin. Blind Integrator of Range-spread Target in Non-Gaussian Clutter[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2012, 33(12): 2261-2267.

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Blind Integrator of Range-spread Target in Non-Gaussian Clutter

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