一种基于能量选择的改进TQWT海杂波抑制算法

Improved TQWT Sea Clutter Suppression Algorithm Based on Energy Selection

针对雷达对海探测中海杂波抑制问题,研究了基于能量选择的改进可调Q小波变换（TQWT）海杂波抑制算法。根据目标和海杂波振荡属性差异,通过TQWT将回波信号分解到不同子带的小波系数中,并利用基追踪去噪（BPD）对小波系数稀疏优化后进行目标重构。为更好的重构目标信号,文中基于子带能量最优分布准则,提出了能量选择法,提取目标能量占优层级的小波系数进行重构,实现目标与海杂波的有效分离。论文分析了雷达观测时间对算法性能的影响,为该方法的工程应用提供指导。通过在CSIR公开数据集上进行实验,结果验证了该算法的性能,改善了输出信杂比。

Aiming at the problem that sea clutter is difficult to suppress in the radar echo,the improved tunable Q-factor wavelet transform（ TQWT） sea clutter suppression method based on energy selection is proposed. According to the difference of the target and sea clutter oscillation properties,TQWT is adopted to decompose echo signals into wavelet coefficients of different sub-bands,and the basis pursuit denoising（ BPD） method is used to optimize the wavelet coefficients for reconstructing the target sparsely. In order to better reconstruct the target,an energy selection method based on the optimal distribution rule of sub-band energy is used to extract the wavelet coefficients for target reconstruction,so as to achieve the separation of target from sea clutter. The analysis of the radar observation time provides guidance for the practical engineering application of the method. The experimental results on the CSIR data set demonstrated the effectiveness of the algorithm and improved the signal to clutter ratio.