基于矩陣奇異值分解的高頻雷達瞬態(tài)干擾抑制
A SVD-Based Approach of Suppressing Transient Interference in High-Frequency Radar
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摘要: 雷電等瞬態(tài)干擾嚴重影響了高頻雷達的工作性能,必須加以抑制。該文提出了基于矩陣奇異值分解的高頻雷達瞬態(tài)干擾抑制方法。該方法將高頻雷達回波信號分段構造成矩陣并進行奇異值分解,首先根據(jù)矩陣有效秩的大小判斷雷達回波中是否存在瞬態(tài)干擾,然后利用奇異值分解的正交性實現(xiàn)雷達回波的正交分解,使瞬態(tài)干擾分離出來,以利于檢測,最后通過建立線性預測的全極點自回歸模型對瞬態(tài)干擾位置處的回波信號予以恢復。實測數(shù)據(jù)處理結果表明該方法是有效的。
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關鍵詞:
- 高頻雷達;瞬態(tài)干擾;奇異值分解
Abstract: 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. -
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