Radar anti-packet jamming method based on time domain concealment and wiener filter recovery

The radar anti-slicing interference method, which utilizes temporal cloning and Wiener filtering, employs adaptive threshold and weight coefficient cancellation, combined with sliding window method and Wiener filtering, to achieve efficient suppression of slice interference and a low-cost solution while maintaining the radar's angle measurement function.

CN122307480APending Publication Date: 2026-06-30AIR FORCE EARLY WARNING ACADEMY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
AIR FORCE EARLY WARNING ACADEMY
Filing Date
2026-06-03
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

In radar detection, existing technologies struggle to effectively suppress slice-type deception interference within the main lobe, and system-level anti-interference measures are prohibitively expensive.

Method used

A method based on temporal masking and Wiener filtering is adopted. Through adaptive threshold generation and state decision, weighted cancellation is performed using weight coefficients. The signal is reconstructed by combining sliding window method and Wiener filtering to realize the localization and separation of interference signals. A closed-loop iterative optimization mechanism is adopted to improve the interference suppression efficiency.

Benefits of technology

It improves interference suppression efficiency, reduces costs, and maintains the integrity of angle measurement function in strong slice interference environments, and has good generalization ability to combat multiple types of interference.

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Abstract

This application belongs to the field of radar detection technology, specifically disclosing a radar anti-slicing interference method based on time-domain concealment and Wiener filtering recovery. The method includes: receiving a mixed signal determined based on the radar transmitted signal; determining a state judgment threshold based on the amplitude of the mixed signal; determining the echo state of the mixed signal at each time point based on the state judgment threshold to generate a state sequence; using weighting coefficients to perform weighted cancellation on the upper and lower branch signals to obtain the residual signal; based on the residual signal, using a sliding window method to determine a target range threshold to determine an estimated signal; and reconstructing the signal based on the estimated signal to obtain the recovered signal; determining the average amplitude of all non-zero points in the upper branch signal to determine a shutdown criterion coefficient; if the shutdown criterion coefficient does not exceed a preset energy discrimination threshold, then the recovered signal is used as the anti-interference output signal. This application can improve interference suppression efficiency and reduce costs.
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