基于时域解线性调频的步进频率雷达动目标检测方法
Method for Detecting Moving Targets in Stepped Frequency Radar Based on Time-Dechirping
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摘要: 针对步进频率雷达中运动目标高分辨距离像发散而引起的检测性能下降,以及速度补偿法无法完成多个不同速度目标检测的问题,提出了一种运用时域解线性调频法进行步进频率雷达动目标检测的新方法,该方法对所有子脉冲的回波信号进行时频变换处理,将处理结果进行二维搜索以得到目标参数的估计值。描述了基于该方法的检测步骤,并严格推导了速度分辨力和交叉项峰值的数学表达式。仿真实验表明,该方法能够同时检测多个运动目标,并验证了其检测性能。Abstract: The paper proposes a detecting method of multiple moving targets in stepped-frequency radar based on time-dechirping, in order to solve such problems that conventional processing methods without velocity compensation will reduce the detection performance because of range profile distortion and that velocity compensation methods cannot detect multiple targets with different velocities. This method performs the time-frequency transform processing for echo of all sub-pulses, and then the target parameter estimates value is obtained by two-dimensionally searching the processing products. The paper also describes the principle of detection and formulates the mathematical expressions of velocity resolution and cross-term peak strictly. Simulations for multi-moving targets are employed to validate the method.