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Publication Type : Conference Proceedings
Publisher : 2016 10th European Conference on Antennas and Propagation (EuCAP)
Source : 2016 10th European Conference on Antennas and Propagation (EuCAP), p.1-5 (2016)
Url : https://ieeexplore.ieee.org/abstract/document/7481630
Keywords : Covariance matrices, cumulant based quadricovariance matrix, direction of arrival, direction of arrival estimation, direction-of-arrival estimation, DoA estimation, ESPRIT algorithm, Estimation, estimation of signal parameters using rotational invariance technique algorithm, forward backward averaging, Fourth order cumulant, Indexes, Matrix decomposition, Multiple signal classification, MUSIC algorithm, Propagation, Sensor arrays, signal classification, Signal processing algorithms
Campus : Coimbatore
School : School of Engineering
Center : Amrita Innovation & Research
Department : Electronics and Communication
Verified : Yes
Year : 2016
Abstract : This paper discusses the estimation of direction of arrival of narrowband signals received by a linear array. The algorithm uses fourth order cumulants of the array input data to construct a matrix whose dimension is increased by a power of two compared to the classical Multiple Signal Classification (MUSIC) and Estimation of Signal parameters using Rotational Invariance Technique (ESPRIT) algorithm. This extended matrix along with extended array steering vectors uses the steps followed by MUSIC algorithm for the calculation of direction of arrival. The proposed method is able to detect more number of sources than the elements of the array and hence helps in increasing the effective aperture size. Preprocessing using forward backward averaging is used to improve the accuracy of estimation.
Cite this Research Publication : Prabha G and Sundaram, G. A. S., “Estimation of DOA using a Cumulant Based Quadricovariance Matrix”, 2016 10th European Conference on Antennas and Propagation (EuCAP). pp. 1-5, 2016.