基于矩阵补全的天波雷达瞬态干扰抑制算法
doi: 10.11999/JEIT140973
Sky-wave Radar Transient Interference Suppression Based on Matrix Completion
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摘要: 瞬态干扰持续时间短、强度大,严重影响天波超视距雷达的性能。传统的瞬态干扰抑制方法需要预先抑制海杂波,且只能抑制强瞬态干扰,不能抑制弱瞬态干扰和噪声,该文提出一种基于矩阵补全的瞬态干扰抑制算法,该方法首先利用Teager-Kaiser算子进行瞬态干扰检测,然后将干扰数据剔除,最后利用海杂波和目标回波构成的Hankel矩阵的低秩性,通过改进的低秩矩阵补全算法进行数据恢复。该算法不仅能够抑制强瞬态干扰,而且能同时抑制弱瞬态干扰和噪声,提高了回波信号的信噪比。实测和仿真数据处理结果证明了算法的有效性。
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关键词:
- 天波超视距雷达 /
- 瞬态干扰抑制 /
- 矩阵补全 /
- Teager-Kaiser算子
Abstract: The transient interference can dramatically degrade the performance of over-the-horizon radar. The traditional interference suppression methods need to suppress the sea clutter, and only can suppress the strong transient interference, not mitigate the weak one and the noise. A novel interference suppression method is proposed based on the low-rank matrix completion. Firstly, the proposed method detects the interference via the Teager-Kaiser operator, subsequently excises the interference data. Then, considering that the Hankel matrix of clutter-plus-target signals is low-rank, the matrix completion method is exploited to recover the interference- removed signal. The proposed algorithm can suppress not only the strong interference, but also the weak one and the noise, improving the signal to noise ratio of echo. The simulation and experimental results demonstrate the effectiveness of the proposed method.
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