A Novel Parameter Estimation Algorithm for DSSS Signals Based on Compressed Sensing

作     者：WU Shuang TIAN Jing CUI Wei 

作者机构：Radar Research Laboratory School of Information and ElectronicsBeijing Institute of Technology 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2015年第24卷第2期

页      面：434-438页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0701[理学-数学] 

基　　金：supported by the Foundation of Shanghai Aerospace Science andTechnology(No.SAST201215) the Program for New Century Excellent Talents in University(No.NCET-13-0034) 

主　　题：Compressed sensing(CS) Fractional Fourier transform(Fr FT) Direct sequences spread spectrum(DSSS) Doppler frequency ambiguity 

摘      要：A novel parameter estimation algorithm based on Compressed sensing(CS) for the Direct sequences spread spectrum(DSSS) signals in high dynamic environments is proposed. In this algorithm, Fractional Fourier transform(Fr FT) is first employed to estimate Doppler frequency rate, followed by the quadric phase term compensation. The compensation results are divided into several segments with equal length and coherent integration is carried out within each segment respectively. A convex optimization algorithm is applied to estimate the velocity and initial range of the target simultaneously based on the sparsity of target in the code phase domain. The proposed algorithm is capable of overcoming the limitation of Doppler frequency ambiguity and obtaining the accurate parameter estimates without correcting the code phase drift. Simulation results are presented to demonstrate the validity of the proposed algorithm.