基于CLEAN算法的自适应旁瓣对消技术

柴许杨; $2; $2; 刘 野

引用本文:	柴许杨，赵志国，岳玫君，刘野. 基于CLEAN算法的自适应旁瓣对消技术[J]. 雷达科学与技术, 2023, 21(5): 526-530.[点击复制]
	CHAI Xuyang, ZHAO Zhiguo, YUE Meijun, LIU Ye. Adaptive Side⁃Lobe Cancellation Technique Based on CLEAN Algorithm[J]. Radar Science and Technology, 2023, 21(5): 526-530.[点击复制]

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基于CLEAN算法的自适应旁瓣对消技术
柴许杨，赵志国，岳玫君，刘野
1. 中国电子科技集团公司第三十八研究所，安徽合肥 230088;2. 孔径阵列与空间探测安徽省重点实验室，安徽合肥 230088;3. 中国人民解放军93534部队，天津 301700;4. 国防科技大学电子对抗学院，安徽合肥 230037;5. 中国人民解放军63726部队，宁夏银川 750004

摘要:

自适应旁瓣对消技术能够很好地抑制旁瓣干扰，但在应用中发现, 自适应旁瓣对消对跟踪的高信噪比目标带来的信噪比损失较大，导致单脉冲和差测角精度下降。本文提出了一种基于CLEAN算法的自适应旁瓣对消方法，首先通过观测目标的先验信息构建目标回波模型，再利用该回波模型剔除对消通道中的目标信息，然后基于剔除目标信息后的对消通道数据，重新计算最优加权值进行主通道的干扰对消，最后仿真和实测结果验证了该方法不仅可以减少主通道中目标对消后的信噪比损失，同时也降低了对消后对目标测角精度的影响。

关键词: 信号处理旁瓣对消 CLEAN算法和差测角

DOI：DOI:10.3969/j.issn.1672-2337.2023.05.008

分类号:TN974

基金项目:

Adaptive Side⁃Lobe Cancellation Technique Based on CLEAN Algorithm

CHAI Xuyang, ZHAO Zhiguo, YUE Meijun, LIU Ye

1. The 38th Research Institute of China Electronics Technology Group Corporation, Hefei 230088, China;2. Key Laboratory of Aperture Array and Space Application, Hefei 230088, China;3. Unit 93534 of PLA, Tianjin 301700, China;4. College of Electronic Engineering, National University of Defense Technology, Hefei 230037, China;5. Unit 63726 of PLA, Yinchuan 750004, China

Abstract:

The adaptive sidelobe cancellation can suppress the sidelobe interference well, but it is found that there is a large signal?to?noise ratio loss for the high signal?to?noise ratio target, resulting in a decrease in the accuracy of monopulse sum?difference angle estimation. In this paper, an adaptive sidelobe cancellation method based on CLEAN algorithm is proposed. First, the target echo model is constructed by observing the prior information of the target, and the echo model is used to eliminate the target information in the cancellation channel. Then the optimal weighted value for the interference cancellation of the main channel is recalculated based on the neutralization channel data after removing the target information. Finally, the simulation and measured results verify that the method can not only reduce the signal?to?noise ratio loss of the target cancellation in the main channel, but also reduce the influence on the target angle measurement accuracy after elimination.

Key words: signal processing side⁃lobe cancellation （SLC） CLEAN algorithm sum⁃difference angle estimation