摘要
受机载雷达体积和重量的限制,传统方法难以在低复杂度下达到最优雷达杂波抑制效果。该文在分析多级维纳滤波结构基础上,提出了一种变对角加载多级维纳滤波的空时二维自适应处理方法,通过理论推导,建立了新方法的后向递推算法,并应用新算法抑制机载雷达杂波。仿真结果验证了该算法的可行性和有效性。在低维滤波器结构下,该算法性能优于相关传统方法,鲁棒性强。在机载雷达杂波抑制中,该算法能获得-80 dB的零陷深度,可实现良好的杂波抑制效果,具有实际工程应用前景。
Due to the restrictions of the airborne radar’s volume and weight, the traditional methods are not able to obtain the optimal clutter suppression results under the situation of low complexity. Based on the analysis of the structure of multistage Wiener filter, a multistage Wiener filter with variable diagonal loading is proposed. The backward-recursive algorithm of this method is developed to suppress airborne radar’s clutter. Simulation results validate the feasibility and effectiveness of the new method and demonstrate that the proposed method is more robust and outperforms the traditional methods in low dimensional filter structure. Also in airborne radar’s clutter suppression, the method can achieve the null-depth of-80 dB.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2014年第5期641-646,共6页
Journal of University of Electronic Science and Technology of China
基金
航空科学基金(20112080014)
关键词
机载雷达
杂波
多级维纳滤波
抑制
变对角加载
airborne radar
clutter
multistage wiener filter
suppression
variable diagonal loading
