基于模糊c-均值增量更新的脉冲多普勒引信干扰与目标信号识别

A fuzzy c-means (FCM) method with self-adaptive update function is proposed to improve the target recognition accuracy of pulse Doppler (PD) fuze in the complex electromagnetic environment. Based on the analysis of the output signal from fuze range-gate, the time domain and frequency domain entropies of signal are used for the recognition of target signal and jamming by means of FCM method. A modified incremental update algorithm is used to update and adjust the FCM classification model when the signal-to-jamming ratio decreases. The simulated results indicate that the modified incremental update algorithm can not only reduce the time-consuming, but also keep the recognition accuracy of target signal and jamming at 96.43% at -15 dB SNR, which significantly improves the anti-active noise jamming ability of pulse Doppler fuze.