捷变频联合波形熵的密集假目标干扰抑制算法

密集假目标干扰具备欺骗性和压制性的双重特性, 严重影响雷达作战效能。对此, 提出一种捷变频联合波形熵的密集假目标干扰抑制算法。首先采用Kittler算法进行二值化处理；其次利用波形熵识别目标和干扰；然后采用局部离群因子检测算法对目标回波中叠加有较强干扰旁瓣的数据进行剔除; 最后采用稀疏重构算法进行脉间相参处理。数字仿真实验和外场实测数据处理结果验证了所提算法的有效性。算法性能分析结果表明, 当干信比为58 dB时, 所提算法仍能有效抑制干扰, 正确检测目标。

Dense false targets jamming suppression algorithm based on frequency agility and waveform entropy

Dense false target jamming has the dual characteristics of deception and suppression, which seriously affects the effectiveness of radar operations. Therefore, a jamming suppression algorithm based on frequency agility and waveform entropy is proposed. Firstly, the Kittler algorithm is used for binarization. Secondly, the waveform entropy is used to identify the target and interference. Then, the local outlier detection algorithm is used to eliminate the data with strong interference side lobes in the target echo. Finally, the sparse reconstruction algorithm is used to perform interpulse coherent processing. The results of digital simulation experiment and field measured data processing verify the effectiveness of the proposed algorithm. The algorithm performance analysis results show that when the interference signal ratio is 58 dB, the proposed algorithm can still effectively suppress the interference and correctly detect the target.