基于高斯分布的自适应旁瓣相消零陷展宽算法  

Null Broadening Algorithm for Adaptive Sidelobe Canceller Based on Gaussian Distribution

作　　者：石浩然 郭肃丽[1] 王明杰 王忠强 SHI Haoran;GUO Suli;WANG Mingjie;WANG Zhongqiang(The 54th Research Institute of China Electronics Technology Corporation,Shijiazhuang 050081,China)

机构地区：[1]中国电子科技集团公司第54研究所,石家庄050081

出　　处：《计算机测量与控制》2025年第2期301-307,共7页Computer Measurement &Control

摘　　要：无人机的高动态特性,导致干扰信号来波方向与自适应旁瓣相消算法(ASLC)生成的零陷位置不匹配,这一现象直接降低了ASLC系统的抗干扰效能;针对这一问题,设计了无人机自适应旁瓣相消接收架构,分析了零陷失配对旁瓣相消性能的影响;采用基于高斯分布的锥化矩阵零陷展宽算法,通过假设干扰信号来波方向服从高斯分布,根据最小均方误差(MMSE)准则推导锥化后的自相关矩阵以及互相关矩阵解析式,仿真实验结果表明所提算法在-45 dB零陷深度上零陷展宽宽度比均匀分布零陷展宽算法提高了21%。The high dynamic characteristics of unmanned aerial vehicles(UAVs)result in a mismatch between the direction of arrival(DOA)of interference signal and null position generated by adaptive sidelobe cancellation(ASLC),which directly reduces the anti-interference effectiveness of ASLC systems.To address this issue,a drone adaptive sidelobe cancellation receiving architecture is designed,and the impact of null misalignment on sidelobe cancellation performance is analyzed.By using Guassian distribution based cone matrix null widening algorithm and assuming that the DOA of the interference signal follows Gaussian distribution,the equations for covariance auto-correlation matrix and cross-correlation matrix based on minimum mean square error(MMSE)criterion are derived analytically.Simulation results demonstrate that with a null broadening width of-45 dB,the proposed algorithm increases the null broadening ratio by 20%compared to uniform distribution null broadening algorithm.

关 键 词：自适应旁瓣相消 锥化矩阵 零陷展宽 高斯分布 无人机测控 

分 类 号：TN973.3[电子电信—信号与信息处理]