NDLI: DFT-based direction-of-arrival estimation using a nested minimum redundancy array

Content Provider	IET Digital Library
Author	Eghbali, Yasoub Naeiny, Mahmoud Ferdosizade
Abstract	Performance of the discrete Fourier transform (DFT)-based direction-of-arrival (DoA) estimation method depends on the number of antennas. Increasing the number of antennas will improve the accuracy of DoA estimation. In this study, the authors propose a new DFT-based DoA estimation method using a nested minimum redundancy array (NMRA). By vectorisation of the covariance matrix of the received signal of an NMRA with low number of antennas, a virtual uniform linear array with a large number of antennas can be obtained. An initial estimation of DoAs can be derived by applying the normalised centralised DFT matrix to the observations of virtual uniform linear array. By minimisation of the difference between the virtual linear array observations and their estimated values, the accuracy of DoA estimation will be improved. Simulation results show that the proposed method has better performance in comparison with the conventional ones.
Starting Page	47
Ending Page	55
Page Count	9
ISSN	17519675
Volume Number	14
e-ISSN	17519683
Issue Number	Issue 2, Apr (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/14/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2019.0048
Journal	IET Signal Processing
Publisher Date	2019-08-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Antenna Array Array Signal Processing Covariance Matrices Covariance Matrix Direction of Arrival Estimation Discrete Fourier Transform DoA Estimation Method Integral Transforms Linear Antenna Array Nested Minimum Redundancy Array NMRA Normalised Centralised DFT Matrix Signal Processing And Detection Signal Processing Theory Virtual Linear Array Observations Virtual Uniform Linear Array
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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