基于多组重频相参积累的多普勒解模糊方法

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.

TN957.51