Threatening radar signal detection method based on compressed sensing

Abstract

The invention discloses a threatening radar signal detection method based on compressed sensing. The threatening radar signal detection method based on compressed sensing mainly solves the problems that during existing electronic reconnaissance, the sampling rate is high and detection is difficult under the signal parameter overlapping condition. The threatening radar signal detection method based on compressed sensing comprises the following steps of (1) generating an original radar signal sample space by means of a given threatening radar signal database, (2) establishing a redundant dictionary according to the sample space, (3) conducting sparse representation on signals to be detected, (4) conducting compressed sampling on the signals to be detected to obtain a low-dimensional observed value, (5) solving a sparse coefficient and (6) finishing detection of threatening radar signals. According to the threatening radar signal detection method based on compressed sensing, a compressed sampling method is introduced to the radar signal detection field, and radar signals overlapping in the aspects of time, space and frequency spectrums are effectively detected on the condition that the sampling rate is low.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a threat radar signal detection method based on compressed sensing in the electronic countermeasure electronic technical field. The invention can be used to detect signals overlapping in time, space and spectrum, and improve the detection performance of electronic reconnaissance receivers for threat radar signals. Background technique [0002] The purpose of electronic reconnaissance is to discover enemy threat radar signals, detect useful information from them, and guide our side to make timely, accurate and effective responses. In recent years, the increasingly complex electromagnetic environment and the emergence of LPI radar with low probability of intercept have posed great challenges for threat radar signal detection. In order to cover all possible frequency bands and azimuths of threat radars, signal detection in electronic reconnaissance usually adopts wide o...

AI Technical Summary

Problems solved by technology

This method divides signals of different frequencies into different sub-channels for detection. Although the amount of data processing on each sub-channel is reduced, there are still shortcomings in that the problem of high sampling rate of the front-end analog-to-digital AD is not solved.

This method can better detect multiple radar threat signals that exist at the same time, but there are still shortcomings in that the detection performance of radar signals is poor in the case of overlapping signal parameters and low signal-to-noise ratio.

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