摘要
为解决分布式阵列应用常规算法估计波达方向(DOA)时出现的角度模糊问题,提出一种基于压缩感知(CS)理论的无模糊DOA估计方法.利用新方法对分布式阵列的接收信号分别通过直接采样和随机矩阵两种压缩采样方式进行二次采样,将接收信号转换为CS理论所需的随机观测数据,并利用CS重构算法将目标DOA信息从观测数据中高概率、无模糊地获取.将新方法与多重信号分类法(MUSIC)和旋转不变子空间算法(ESPRIT)等经典常规DOA估计算法的运算量进行了详细对比,指出新方法的运算量更小.通过与现有分布式DOA估计方法的仿真实验对比,验证了新方法的有效性,并分析分布式阵列接收阵元数的改变对新方法 DOA估计精度的影响.
In order to solve the ambiguity problem of direction-of-arrival（DOA）with distributed arrays by using convention methods,a new unambiguous DOA estimation method based on Compressive Sensing（CS）was proposed.The echo signal was resampled by the proposed method with direct sampling mode or random matrix mode and converted into the random observed data which can be properly solved by CS theory.The DOA of target was calculated probability and ambiguously by CS reconstruction method.Through the analysis of computational complexity between the proposed method,Multiple Signal Classification（MUSIC）,and Estimation of Signal Parameters via Rotational Invariance Techniques（ESPRIT）,the conclusion is proved that the proposed method is faster than the others.Simulation results show the good performance of the proposed method.The influence of changing number of sensors on the proposed method was also analyzed.
作者
王赞
WANG Zan(School of Physics and Electronics,Henan University,Henan Kaifeng 475004,China)
出处
《河南大学学报（自然科学版）》
CAS
2018年第5期590-595,共6页
Journal of Henan University:Natural Science
基金
河南大学科研基金项目(2016YBZR041)
河南省博士后科研项目(2014043)
关键词
分布式阵列
DOA估计
压缩感知
无模糊
distributed arrays
direction of-arrival estimation
compressive sensing
unambiguous
