However, with the threat of repeater jamming, especially digital radio frequency memory technology, the deficiency in the anti-repeater jamming of a traditional PD fuze increasingly emerges. Pulse Doppler (PD) fuze is widely used in current battlefield. Experimental results show the effectiveness of the proposed method in the presence of externally suppressed amplitude modulation (AM) interference and frequency modulation (FM) interference. Finally, the anti-interference analysis of this CPLF-SrDS is realized. Further, the GA-BP network is utilized to classify the echo and interference signals. Then, both bispectrum analysis and singular spectrum analysis are adopted to analyze the separated signals and extract their characteristic parameters. Combining 4th-order cumulant and joint diagonalization, this paper first develops a new signal separation approach to realize an underdetermined separation of the echo signal and interference signal from their mixture. To design such a system, the key problem lies in robustly recovering the echo signal against externally suppressed interferences. Compared with traditional methods, it benefits from the short-term randomness and long-term certainty of chaos, and is more powerful in determining the distance. ![]() The Chaotic Phase-modulated Linear Frequency modulation Short-range Detection System (CPLF-SrDS) is a new type of composite detection system. ![]() Moreover, the applicable analysis shows that he ONBCMR method has low computational complexity and can fully meet the real-time requirements of PDRF. The experiments show that the PDRF can maintain high recognition accuracy when the signal-to-noise ratio (SNR) decreases and the jamming-to-signal ratio (JSR) increases. ![]() To improve the adaptability of the proposed method in complex environments, an online update process that adaptively modifies the classifier in the duration of the work of the PDRF is proposed. Based on the time-frequency joint feature, the naive Bayesian classifier (NBC) with minimal risk is established for target and jamming recognition. Then, the frequency entropy and peak-to-peak ratio are extracted from the matched filter output of the PDRF, and the time-frequency joint feature is constructed. To solve the problem, the matched filter outputs of the PDRF under the action of target and jamming are analyzed. This paper considers the problem of target and jamming recognition for the pulse Doppler radar fuze (PDRF).
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