基于多组重频相参积累的多普勒解模糊方法  

Velocity Ambiguity Resolution Based on Coherent Integration of Multiple PRF

作　　者：王立坤 周琳[1] 郭琰[1] WANG Likun;ZHOU Lin;GUO Yan(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《现代雷达》2020年第3期35-39,共5页Modern Radar

摘　　要：脉冲多普勒体制雷达一般需要对多组不同脉冲重复频率(PRF)的脉冲组分别进行处理和检测,该文研究了多组PRF相参积累的方法,将不同PRF的脉冲组作为一组进行处理,使各PRF脉冲组回波能够相参积累,只需要对一帧数据进行检测即可解模糊,改善了传统方法由于分别检测造成低信噪比时检测性能较差的问题。分析了各参数对检测结果的影响并以处理结果的主副瓣比作为适应度评价值,通过遗传算法快速搜索满足需要的参数组合,减少了搜索数目。仿真实例说明了使用遗传算法可有效获得具有优良性能的参数组合,不仅检测性能得到有效提升,还较大幅度地降低了成功解模糊所需的信噪比。Pulse Doppler radar generally needs to process and detect multiple sets of different pulse repetition frequency(PRF)pulse groups.Different from the multi-frequency variation mode,this paper studies the method of multi-group PRF coherent integration.PRF of different frequencies is processed as a group,so that the echoes of each PRF pulse group can be coherently accumulated,and only one frame of data needs to be detected,which improved poor detection performance of the traditional method due to separate detection.The influence of each parameter on the detection result is analyzed and the main side-lobe ratio of the processing result is used as the fitness evaluation value.The genetic algorithm is used to quickly search for the required parameter combination and reduce the number of searches.The simulation example shows that the proposed method can efficiently obtain the parameter combination with excellent performance by genetic algorithm,the detection performance is effectively improved and the requirement of signal-to-noise ratio for successful ambiguity resolution is greatly reduced.

关 键 词：解速度模糊 脉冲重复周期 遗传算法 

分 类 号：TN957.51[电子电信—信号与信息处理]