Parameters estimation of air maneuvering target based on compressive sensing and cubic phase transform

Authors

Hai Li
Jing Zhong Zheng, Civil Aviation University of China
Meng Zhou, Civil Aviation University of China
Ren Biao Wu, Civil Aviation University of China

RIS ID

104250

Publication Details

H. Li, J. Zheng, M. Zhou & R. Wu, "Parameters estimation of air maneuvering target based on compressive sensing and cubic phase transform," Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, vol. 37, (11) pp. 2697-2704, 2015.

Abstract

A novel and low complexity algorithm is proposed to estimate the parameters of air maneuvering target based on Compressive Sensing (CS) and Cubic Phase Transform (CPT). First of all, CPT is utilized to separate the two parameters of the maneuvering target. Then, CS is used to estimate the parameters according to the properties of sparse signal in the time-frequency domain. The proposed algorithm can acquire precise parameter estimation with limited pulses in a coherent processing interval for airborne radar. The effectiveness of the proposed algorithm is verified by the numerical simulations.