Multi-signal detection method and system based on multi-phase filtering and STFT

By adopting multi-signal detection methods based on multi-phase filtering and STFT in electronic warfare systems, the problems of high false alarm rate and high resource consumption at low signal-to-noise ratio are solved, and signal detection with high sensitivity and low false alarm rate is realized.

CN119644267APending Publication Date: 2025-03-18CHENGDU MENGSHENG DEFENSE TECH CO LTD
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Patent Information

Application Number
CN202411906186.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-23
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

In electronic warfare systems, the existing technology has a high false alarm rate when signal detection is detected at low signal-to-noise ratio and only relies on time domain or frequency domain detection, making it difficult to achieve high time domain and frequency domain resolution at the same time, resulting in high FPGA resource consumption.

Method used

Multi-signal detection methods based on multi-phase filtering and STFT are adopted to obtain the PDW parameter information of the signal by collecting pulse signals, digital channelization processing, short-time Fourier transform and time-frequency correlation.

Benefits of technology

On the basis of low FPGA resource consumption, the sensitivity of signal detection is improved, the signal false alarm rate is reduced, and the simultaneous detection of high time and frequency domain resolutions is achieved.

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Abstract

The invention discloses a multi-signal detection method and system based on multi-phase filtering and STFT. The multi-signal detection method based on multi-phase filtering and STFT comprises the following steps: firstly, collecting a pulse signal; digital channelization processing is carried out on the multiple pulse signals; extraction speed reduction, orthogonal down-conversion and multi-phase filtering processing are carried out on the multiple pulse signals in sequence; and then short-time Fourier transform is carried out on the multiple pulse signals, time-frequency correlation is carried out on frequency points in a short-time Fourier spectrum by using saturated pulses so as to obtain PDW parameter information of center frequencies, pulse widths, bandwidths and arrival times of the multiple pulse signals, the sensitivity of signal detection is improved on the basis of low FPGA resource consumption, and the signal false alarm rate is reduced.
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