A SVD-Based Approach of Suppressing Transient Interference in High-Frequency Radar
基于矩阵奇异值分解的高频雷达瞬态干扰抑制

The transient interferences, such as lightening impulse, meteor trail echoes and so on, have to be suppressed since they severely degrade the detection capability of High Frequency (HF) radar. An approach of suppressing the transient interference based on Singular Value Decomposition (SVD) is presented in this paper. In this approach, the HF radar echo is segmented and all segments constitute the columns of some matrix with its SVD computed. Firstly, it can be preliminarily judged whether the transient interference exists in the HF radar echo from the valid rank of the built matrix. Secondly, the orthogonal decomposition of the HF radar echo is obtained using the orthogonality of SVD, thus the transient interference is separated from the radar echo and so easily detected. Finally, the radar echo segment polluted by the transient interference is estimated by building the all-pole autoregressive linear prediction model. The effectiveness of this approach is demonstrated by examples of measured HF radar echo.