Polarization-space-time domain adaptive detection for the heterogeneous array

In this paper, to investigate the effect of different antenna attitudes on the problem of polarimetric target detection, we take the heterogeneous array (HA), which is a uniform linear array (ULA) composed of antennas with different attitudes, as the research object, and use the generalized likelihood ratio test (GLRT) criterion to derive an adaptive detection algorithm. Meanwhile, the probability of detection, as well as the probability of false alarm of this algorithm is presented. Through numerical simulations, we analyze the detection ability of the proposed algorithm in various scenarios, and the detection performance of the HA is compared with the ULA and the uniform linear array consisting of the orthogonal pairs of dipoles (ULAP). The simulation results indicate that the HA can improve its detection performance by exploiting the information in the polarization domain, and therefore, the polarimetric target detection ability of the array, which is composed of antennas with different attitudes, is proved.