Generalized likelihood ratio test matched to fluctuation characteristics
Yifu Hu, Jianxiong Zhou, Weidong Hu, Yajun Wang, Yuhao Hu, Hui Jiang, Xiaoyong Du · IET conference proceedings. · 2024
The fluctuation of the target's Radar Cross Section(RCS) is influenced by factors such as radar line-of-sight, transmit carrier frequency. The effectiveness of traditional coherent integration detection and incoherent integration detection is contingent upon the extent of RCS fluctuation. In this paper, we employ the principles of generalized likelihood ratio test under the Neyman-Pearson(N-P) criterion to establish an optimal detector that matched to the first and second-order moment statistical characteristics of the complex RCS exhibited by a moving target. The selection of the optimal transmit frequency employs a selection approach that maximizes the detection probability for a given false alarm rate. Additionally, a fast Fourier transform implementation of the likelihood ratio test to solve the problem of the detector's reliance on Doppler frequency data. Experimental results demonstrate the detector's sustained optimality across varying degrees of target fluctuation characteristics.