Resolving Cyclic Ambiguities and Increasing Accuracy and Resolution in DOA Estimation Using Array Rotation
A. Djouadi1, and N. Jaksic. Computer Science & Information Technology (CS & IT), 7 (2):
121-138(January 2017)
Abstract
A method to resolve cyclic ambiguities and increase the accuracy and the resolution in the direction-of-arrival (DOA) estimation using the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)algorithm is proposed. It is based on rotating the array and sampling the received signal at multiple positions. Using this approach, the gain in accuracy and resolution is addressed as function of the mean and variance of the DOA. Simulations results are provided as a means of verifying this analysis.
%0 Journal Article
%1 djouadi12017resolving
%A Djouadi1, Abdelhamid
%A Jaksic, NebojsaI.
%D 2017
%E Jae-Kwang Lee, Brajesh Kumar Kaushik
%J Computer Science & Information Technology (CS & IT)
%K Checking, Composition, Graph, Modeling
%N 2
%P 121-138
%T Resolving Cyclic Ambiguities and Increasing Accuracy and Resolution in DOA Estimation Using Array Rotation
%U http://airccj.org/CSCP/vol7/csit76414.pdf
%V 7
%X A method to resolve cyclic ambiguities and increase the accuracy and the resolution in the direction-of-arrival (DOA) estimation using the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)algorithm is proposed. It is based on rotating the array and sampling the received signal at multiple positions. Using this approach, the gain in accuracy and resolution is addressed as function of the mean and variance of the DOA. Simulations results are provided as a means of verifying this analysis.
@article{djouadi12017resolving,
abstract = {A method to resolve cyclic ambiguities and increase the accuracy and the resolution in the direction-of-arrival (DOA) estimation using the Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT)algorithm is proposed. It is based on rotating the array and sampling the received signal at multiple positions. Using this approach, the gain in accuracy and resolution is addressed as function of the mean and variance of the DOA. Simulations results are provided as a means of verifying this analysis.},
added-at = {2017-02-13T23:50:14.000+0100},
author = {Djouadi1, Abdelhamid and Jaksic, NebojsaI.},
biburl = {https://www.bibsonomy.org/bibtex/2160e517daf551295e8969a0c3bd8bcee/laimbee},
editor = {Jae-Kwang Lee, Brajesh Kumar Kaushik},
interhash = {ae865a1ef20ba3cb35a8dbc1d832b0e2},
intrahash = {160e517daf551295e8969a0c3bd8bcee},
journal = {Computer Science & Information Technology (CS & IT)},
keywords = {Checking, Composition, Graph, Modeling},
month = {January},
number = 2,
pages = {121-138},
timestamp = {2017-02-13T23:53:20.000+0100},
title = {Resolving Cyclic Ambiguities and Increasing Accuracy and Resolution in DOA Estimation Using Array Rotation},
url = {http://airccj.org/CSCP/vol7/csit76414.pdf},
volume = 7,
year = 2017
}