Non-Iterative DOA Estimation Using Discrete Fourier Transform Interpolation

被引：8
|
作者：
Chen, Yuan [1 ]
Ko, Annie Hin Cheung [2 ]
Tam, Wing Shan [3 ]
Kok, Chi Wah [3 ]
So, Hing Cheung [4 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Comp & Commun Engn, Beijing 100083, Peoples R China
[2] Hong Kong Polytech Univ, Sch Profess Educ & Execut Dev, Hong Kong, Peoples R China
[3] Canaan Semicond Ltd, Hong Kong, Peoples R China
[4] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Peoples R China
来源：
IEEE ACCESS | 2019年 / 7卷
基金：
中国国家自然科学基金;
关键词：
Direction-of-arrival; single snapshot; interpolation; discrete Fourier transform; FREQUENCY ESTIMATION; DFT; ARRAY; PARAMETERS; NUMBER;
D O I：
10.1109/ACCESS.2019.2913747
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A fast and accurate non-iterative direction-of-arrival (DOA) estimation algorithm for multiple targets in additive white Gaussian noise is devised in this paper. The proposed estimator makes use of the two highest magnitudes discrete Fourier transform (DFT) coefficients of the input data and two of their associated neighboring bins, resulting in a deterministic complexity of O(N (1 + log(N))) with N being the number of sensors. The bias and mean squares error of the DOA estimates are analyzed. The simulation results are presented to validate the correctness of theoretical derivation and demonstrate the superiority of the devised estimator over several conventional DOA estimators.
引用
收藏
页码：55620 / 55630
页数：11
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