Non-Iterative DOA Estimation Using Discrete Fourier Transform Interpolation

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

4 Scopus Citations
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Detail(s)

Original languageEnglish
Article number8701446
Pages (from-to)55620-55630
Journal / PublicationIEEE Access
Volume7
Online published29 Apr 2019
Publication statusPublished - 2019

Abstract

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.

Research Area(s)

  • Direction-of-arrival, discrete Fourier transform, interpolation, single snapshot

Citation Format(s)

Non-Iterative DOA Estimation Using Discrete Fourier Transform Interpolation. / Chen, Yuan; Ko, Annie Hin Cheung; Tam, Wing Shan; Kok, Chi Wah; So, Hing Cheung.

In: IEEE Access, Vol. 7, 8701446, 2019, p. 55620-55630.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review