摘要
为了解决FMCW雷达信号处理中速度模糊严重、抗噪声性能差的问题,结合压缩感知理论和Keystone变换提出了一种多载频、调频间隔随机抖动的FMCW信号合成处理方法。该方法根据信号波形的随机特性,采用Keystone变换实现多载频信号的合成;根据雷达应用场景的稀疏性,采用稀疏重构CoSaMP算法实现多普勒维处理,并利用互相关补偿相位的方法提升目标检测精度。仿真结果表明,所提方法有效解决了速度模糊问题,并且具有较高的目标检测精度和较好的抗噪声性能。
In order to solve the problems of serious speed ambiguity and poor anti-noise performance in FMCW radar signal processing,a FMCW signal synthesis processing method with random jitter of multi-carrier-frequency and frequency modulation interval is proposed by combining compressed sensing theory with Keystone transform.In this method,according to the random characteristics of signal waveform,Keystone transform is used to synthesize multi-carrier-frequency signals.According to the sparseness of radar application scene,sparse reconstruction CoSaMP algorithm is used to realize Doppler dimension processing,and cross-correlation phase compensation method is used to improve target detection accuracy.The simulation results show that the proposed method effectively solves the problem of speed ambiguity,and has high target detection accuracy and good anti-noise performance.
作者
吴宏昊
李琦
韩壮志
李豪欣
杨晓倩
WU Honghao;LI Qi;HAN Zhuangzhi;LI Haoxin;YANG Xiaoqian(School of Electronic Information,Hebei University of Technology,Tianjin 300000,China;Department of Electronic and Optical Engineering,Army Engineering University,Shijiazhuang 050000,China)
出处
《电光与控制》
CSCD
北大核心
2022年第5期102-106,112,共6页
Electronics Optics & Control
基金
国家自然科学基金(61601496)
河北省自然科学基金(F2019506037)。
