Statistical Recognition Methods Based on Complex HRRP

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Zhao, Xuan^1 ; Lu, Jianbin^1

School of Electronic Engineering, Naval University of Engineering, Wuhan, China^1

关键词: Amplitude information;    Geometrical structure;    High range resolution;    High range resolution profile;    High resolution radar;    High resolution ranges;    Probabilistic principal component analysis;    Statistical recognition;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/4/042053/pdf
DOI  :  10.1088/1757-899X/452/4/042053

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The radar high range resolution echo (radar target complex echo signal) is the sum of the projection vectors of the scattering points of the target detected by high resolution radar in the radar line of sight, and it contains the rich geometrical structure information of the target in that direction. At present, most of the statistical recognition work based on radar high-resolution range echo is using the amplitude information (i.e. High Range Resolution Profile, HRRP) obtained after high range resolution echo of radar target, which will result in limited recognition performance of the recognition system. In fact, the phase information of radar target high range resolution echo is same as amplitude information, and it also reflects some geometrical structure information of radar target, which is valuable to improve the recognition performance of radar target recognition system. In this paper, the complex HRRP was studied. Complex Probabilistic Principal Component Analysis and Complex Adaptive Gaussian Classifier models were used for statistical modeling, and the simulation results were given.