电子科技大学学报2017，Vol.46Issue(4)：495-500,6.DOI:10.3969/j.issn.1001-0548.2017.04.003
一种新的高速多目标参数检测算法
A Novel Parametric Detection Method for High-Speed Multi-Target
摘要
Abstract
A novel algorithm for high-speed multi-target detection and parameters estimation with narrowband radar is proposed in this paper. Firstly, base on cyclostationarity, moving parameters are roughly estimated with the joint Keystone transform and ambiguity searching. And then, according to the coarse estimation, the joint compensating range migration in frequency domain and fractional Fourier transform are utilized to conduct the targets detection and parameters estimation. In the case of multi-target, range migration, Doppler spread and Doppler ambiguity, this algorithm is suitable, and retains the merit of low computational complexity of cyclostationarity. Compared with existing cyclostationarity based algorithms, the weaknesses of low estimation precision and limited range of moving parameters are conquered in engineering applications. The validity of the proposed algorithm is demonstrated by computer simulation and raw radar data results.关键词
循环平稳/多普勒模糊/分数阶傅立叶变换/Keystone变换Key words
cyclostationarity/Doppler ambiguity/fractional Fourier transform/Keystone transform分类
信息技术与安全科学引用本文复制引用
刘家州,章宇兵,陆洲..一种新的高速多目标参数检测算法[J].电子科技大学学报,2017,46(4):495-500,6.基金项目
国家863项目(2015AA015701) （2015AA015701）
