摘要
针对汽车防撞雷达领域内现有算法对目标距离、速度和方位探测精度不高的问题,基于快斜率锯齿波设计了一种在阵列天线条件下采用双周期旋转因子解速度模糊和music算法实现测角功能的信号处理算法。经仿真验证,上述算法既能够高效解决多目标情况下距离速度耦合和速度模糊问题,又能够实现高精度角度测量。
Aiming at the problem that the existing algorithms in the field of automobile anti-collision radar have low detection accuracy of target distance,velocity and azimuth,based on the fast-slope sawtooth wave,a signal processing algorithm based on the two-cycle rotation factor solution and the fuzzy algorithm was used to realize the angle measurement function under the condition of array antenna.The simulation proves that the algorithm can efficiently solve the problem of distance velocity coupling and velocity ambiguity in multi-objective situations,and achieve high-precision angle measurement.
作者
蒋留兵
宋占龙
车俐
JIANG Liu-bing;SONG Zhan-long;CHE Li(Guangxi Wireless Broadband Communication and Signal Processing Key Laboratory,Guilin University of Electronic Technology,Guilin Guangxi 541004,China;School of Information and Communication Engineering,Guilin University of Electronic Technology,Guilin Guangxi 541004,China;School of Computer Science and Information Security,Guilin University of Electronic Technology,Guilin Guangxi 541004,China)
出处
《计算机仿真》
北大核心
2020年第8期67-72,152,共7页
Computer Simulation
基金
国家自然科学基金(61561010)
广西自然科学基金项目(2017GXNSFAA198089)
广西重点研发计划项目(桂科AB18126003、AB18221016)
桂林电子科技大学研究生科研创新项目(2018YJCX21)。
关键词
锯齿波
多目标
高精度角度测量
解距离速度耦合
Sawtooth wave
Many goals
High precision angle measurement
Decoupling distance velocity coupling
