一种单脉冲雷达多通道L1正则化波束锐化方法

该文针对单脉冲雷达波束锐化问题，提出一种多通道L1正则化波束锐化方法。首先根据最大后验概率准则推导了适合于单脉冲雷达波束锐化的多通道L1正则化模型，然后提出一种扩展的迭代收缩阈值算法来解决多通道L1正则化问题。理论分析和仿真实验表明，该方法在保证波束锐化性能的同时提高了抑制噪声的能力，有效地解决了单脉冲雷达中各通道方向图不满足强互质条件带来的噪声泄漏问题。其性能要明显优于现有的单脉冲雷达波束锐化方法。

A New Mono-pulse Radar Beam Sharpening Method with Multichannel L1 Regularization

This paper proposes a new mono-pulse radar beam sharpening method with multichannel L1 regularization. First, a multi-channel L1 regularization model is derived for mono-pulse radar beam sharpening based on the maximum a posteriori probability criterion. Then, an extended iterative shrinkage threshold algorithm is proposed to solve the multi-channel L1 regularization problem. Theoretical analysis and simulation results show that this new method can ensure beam sharpening performance and improve the ability to suppress noise, and it can efficiently solve the noise leaks problem caused by channels pattern, which does not meet the strong prime conditions in mono-pulse radar. The performance of the proposed algrithem is significantly better than the existing mono-pulse beam sharpening methods.