现代信息科技2025，Vol.9Issue(8)：6-9,15,5.DOI:10.19850/j.cnki.2096-4706.2025.08.002
基于高阶累积切片的圆阵一维测向算法研究
Research on One-dimensional Direction Finding Algorithm for Circular Array Based on High-order Cumulative Slicing
周烨1
作者信息
- 1. 中国人民解放军 32201 部队,吉林 白城 137000
- 折叠
摘要
Abstract
Aiming at the problem of high false alarm rate and low accuracy of circular array direction finding algorithm under ambient noise and multipath interference,this paper proposes a one-dimensional direction finding algorithm based on high-order cumulative slicing space sparse representation.Firstly,the algorithm uses the idea of Expectation Maximization to construct a high-order slice matrix containing all the information of the incident direction of the signal and removing the redundant information,so as to realize the spatial sparse feature reconstruction of the equivalent signal strength in the high-order cumulative slice space.Secondly,through linear interpolation and bilateral interpolation,the reconstruction quantization error is reduced,and the candidate angle set and the corresponding overcomplete array manifold matrix are obtained.The iterative optimization is carried out,and then the secondary reconstruction is carried out.Finally,based on the results of spatial sparse feature reconstruction,the signal components are separated to achieve high-precision direction finding of each component,and the complexity of the algorithm is analyzed.The simulation results show that compared with the typical sparse reconstruction algorithms,when the Signal-to-Noise Ratio is-10 dB,the direction finding accuracy of the proposed algorithm is increased by about 4 times,and the angle resolution probability is increased by about 80%.关键词
阵列测向/空间重构/多径干扰/累积切片Key words
array direction finding/spatial reconstruction/multipath interference/cumulative slicing分类
信息技术与安全科学引用本文复制引用
周烨..基于高阶累积切片的圆阵一维测向算法研究[J].现代信息科技,2025,9(8):6-9,15,5.
