摘要
针对-SVD、FOCUSS 等稀疏重构算法应用波达方向(DOA)估计时,存在或运算量大、或精度不高的问题,提出了一种基于 FOCUSS 二次加权的信号 DOA 估计方法。将传统 DOA 估计表述为稀疏表示的信号模型,通过贝叶斯理论推导目标函数的最优解及加权矩阵,并在迭代过程中对结果进行二次加权优化,进一步增强恢复结果的稀疏性,提高恢复性能。仿真实验证明了该方法的优越性:与其他稀疏重构方法相比,该方法恢复精度高、稳健性好、运算量低。
When sparse reconstruction methods such as-SVD and FOCUSS resolve the problem of DOA estimation , it causes problems of heavy computation, or low accuracy. To address this issue, the method of DOA estimation based on reweighted FOCUSS is proposed. Firstly, the traditional DOA estimation is represented as a sparse signal model. Then the optimal solution and weighted matrix are derived by applying Bayesian Theory. During each iteration, the estimation is further optimized through re -weighted proceeding, and it further enhances sparsity of recovery result to improve performance. Simulation experiments are presented to prove the superiority of the method in this paper: comparing with other sparse reconstruction methods, the method in this paper possesses significant advantages of high recovery accuracy, good robustness and low computation.
作者
韩学兵
姜照君
HAN Xue-bing;JIANG Zhao-jun(Unit 95795 of PLA,Guilin 541003,China)
出处
《火力与指挥控制》
CSCD
北大核心
2019年第5期74-77,共4页
Fire Control & Command Control
基金
广西自然科学基金资助项目(2014GXNSFBA118285)
