Adaptive Optimal Polarization Detection of Target in Clutter Background Based on Generalized Rayleigh Quotient
Most current methods on polarization targets detection assume the target echoes to be ascertained in signal model during the detection period. But in fact, the target echo may obey a kind of distribution and the distribution relates with the polarizations. Aiming at improving the performance of polarization detection, an adaptive generalized likelihood ratio (AGLR) polarization detector is proposed. The detector assumes the target echo to be a non-zero mean Gaussian distribution with respect to the polarization states of transceiver. It adaptively adjusts the polarization states of transceiver according to the variation of the polarization characteristics of target and clutter to maximize signal to clutter and noise ratio (SCNR). The problem of maximizing the SCNR is converted to a problem of maximizing a generalized Rayleigh quotient (GRQ). Based on the GRQ, the AGLR detector is proposed. The performance of the AGLR detector is theoretically analyzed and numerically validated through some numerical experiments. Compared with two conventional GLR detectors, the AGLR detector achieves a 3 dB to 10 dB improvement.
S.Lei Z.Zhao Z.Nie Q.H.Liu
School of Electronic Engineering, University of Electronic Science and Technology of China, China Department of Electrical and Computer Engineering, Duke University, USA
国际会议
Progress in Electromagnetics Research Symposium 2014(2014年电磁学研究新进展学术研讨会)
广州
英文
234-238
2014-08-01（万方平台首次上网日期，不代表论文的发表时间）