Abstract
Technique of FM jamming time domain cancellation suppression based on noise floor estimation with dynamic threshold is researched, by using the colored noise NLR filter estimation algorithm instead of the narrowband filtering algorithm, the problem that the target echo signal is lost in the process of jamming amplitude estimation is solved. Through the phase analysis of the jamming signal, the problem of jamming signal amplitude estimation in the background of echo signal is transformed into the problem of useful signals spectral estimation in colored noise background. Combined with the characteristics of the low frequency components of the useful signal, the traditional NLR filtering algorithm is improved by adding the dynamic threshold, so as to achieve the purpose of colored noise’s non-invasive estimation, and then to obtain more accurate jamming signal amplitude estimation. The simulation results show that compared with the traditional jamming cancellation algorithm, this algorithm can improve the SJR of the echo signal better and the anti - jamming ability is stronger.
Highlights
FM jamming has advantages such as variable bandwidth and small amplitude dynamic range, because of which it has a wide range of applications in the field of radar confrontation
Literature [1] analyzes the signal, spectrum and the interference effect on pulse compression radar of the FM jamming; literature [2] introduces random differential theory, and studies the interference effect the FM jamming has on pulse compression filter
In the literature [3], the radar signal containing the FM jamming signal is decomposed in different frequency bands by multi-scale time-frequency analysis and reconstruction of the wavelet packet, and the original signal is reconstructed to realize the interference suppression
Summary
FM jamming has advantages such as variable bandwidth and small amplitude dynamic range, because of which it has a wide range of applications in the field of radar confrontation. In the literature [3], the radar signal containing the FM jamming signal is decomposed in different frequency bands by multi-scale time-frequency analysis and reconstruction of the wavelet packet, and the original signal is reconstructed to realize the interference suppression In those literatures, the generation and suppression of FM jamming are studied respectively, but the suppression algorithm of strong FM jamming is less. The literature [5] proposed the amplitude disturbance of the FM jamming suppression algorithm, through the echo signal phase demodulation and narrowband filtering to estimate the disturbance, and complete the time domain cancellation This algorithm has lost in the target echo signal, and is not conducive to the detection of the target. In this paper, the jamming reduction algorithm is improved by combining with the noise floor estimation algorithm
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