摘要
为解决线性调频连续波雷达动目标的速度模糊问题,提出了多普勒频率串(DFS)算法.该算法可直接从模糊速度估计中恢复目标的真实速度,并结合基于目标均方误差的配对算法,实现了多个运动目标.仿真结果表明,DFS算法较中国余数理论对速度估计的性能有了明显的提高,表明了DFS算法的有效性.
Aiming at solving the velocity ambiguity of moving radar target in linear frequency modulated continuous wave radar, this paper proposed the Doppler frequency cluster algorithm, which is able to recover the true velocity from the ambiguous velocity estimation. Combined with the target mean square error match algorithm, the proposed method achieves multiple targets distance and velocity estimation. The simulation results show the velocity accuracy of DFS algorithm is better than Chinese remainder theorem obiviously.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2006年第1期86-89,共4页
Journal of Shanghai Jiaotong University
基金
教育部跨世纪优秀人才培养计划基金资助项目(B13010201KSJ0202)
关键词
线性调频连续波雷达
多普勒频率串
速度模糊
linear frequency modulated continuous wave (LFMCW) radar
Doppler frequency cluster
velocity ambiguity