基于流形分离与频谱细化技术的低复杂度DOA估计方法
Low-complexity DOA Estimation Method Based on Manifold Separation and Spectrum Refinement Technique
姜科良 1黄治江 1解楠1
作者信息
- 1. 中国工程物理研究院 电子工程研究所,四川 绵阳 621900
- 折叠
摘要
基于阵列流形分离(MST)的共形阵列空间谱估计技术,采用快速傅里叶变换(FFT)来降低谱搜索的计算复杂度,但是在该方法中,空间谱搜索的俯仰角和方位角均为 0～360°,存在计算搜索冗余问题.针对共形阵列空间谱估计问题,提出基于联合阵列流形分离技术和频谱细化技术的空间谱估计技术,避免计算搜索冗余问题,相比阵列流形分离技术计算复杂度显著降低.采用一个 32 阵元球面共形阵列进行计算机仿真,验证了所提出方法的估计性能和计算复杂度.
Abstract
Conformal array spatial spectrum estimation technique based on MST uses FFT to reduce the computational complexity of spectral search,but in this method,elevation angle and azimuth angle of the spatial spectrum search are both 0°～360°,and there is a problem of computational search redundancy.To address the problem of conformal array spatial spectrum estimation,spatial spectrum estimation technique based on joint MST and spectrum refinement technique is proposed to avoid computational search redundancy problem,reducing the computational complexity significantly compared to MST.A 32-element spherical conformal array is used for computer simulation to verify the estimation performance and computational complexity of the proposed method.
关键词
DOA估计/MUSIC算法/频谱细化技术/Chirp-Z变换/低复杂度Key words
DOA estimation/MUSIC algorithm/spectrum refinement technique/Chirp-Z transform/low-complexity引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据