基于压缩感知的捷变雷达距离-速度估计

Range-velocity Estimation of Agile Radar Based on Compressed Sensing

在目标识别探测领域,毫米波雷达发挥着至关重要的作用。其中抗干扰能力和检测精度是衡量雷达性能的两项重要指标。为提高雷达抗干扰能力,改善雷达的信号处理效果,提升雷达的距离-速度检测精度,本文采用相参处理时间(CPI)间载频捷变与脉间脉冲重复频率(PRF)捷变相结合的雷达信号,利用压缩感知(CS)模型进行频谱生成,并设计了新型雷达距离-速度分析法进行目标检测,建立了一套完整的雷达信号处理算法。对算法的各个环节进行理论分析和仿真实验,仿真结果证明,本文设计的基于压缩感知的捷变雷达距离-速度估计方法,增强了雷达的抗干扰能力,同时提升了雷达的距离-速度检测精度。

In the field of target recognition and detection,millimeter-wave radar plays a vital role.Anti-jamming ability and detection accuracy are two important indexes to measure radar performance.In order to improve the anti-jamming ability and signal processing effect of radar,and enhance the accuracy of radar range-velocity detection,this paper adopts the radar signal combined with the carrier frequency agility between the coherent processing intervals(CPI)and the pulse repetition frequency(PRF)agility between pulses,and uses the compressed sensing(CS)model to generate spectrum.A new radar range-velocity analysis method is designed for target detection,and a complete radar signal processing algorithm is established.Theoretical analysis and simulation experiments are carried out for each link of the algorithm.The simulation results show that the proposed method based on compressed sensing enhances the anti-jamming ability and improves the measuring accuracy of radar.