In this paper the correlation spectrum of antenna array is introduced. Based on the relationship between the correlation spectrum and space spectrum of MUSIC, we proposed a novel approach to improve the DOA estimation by arranging the linear antenna array elements using genetic algorithm (GA) in optimizing the correlation spectrum. The DOA estimation performance of the optimized array is validated by Monte Carlo simulation and Cramer-Rao bound (CRB), which are improved compared with that of the traditional uniform linear array and the Minimum-Redundancy array (MRA).
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Zhan SHI, Zhenghe FENG, "Optimizing Elements Arrangement of Linear Antenna Array for DOA Estimation" in IEICE TRANSACTIONS on Communications,
vol. E87-B, no. 8, pp. 2445-2448, August 2004, doi: .
Abstract: In this paper the correlation spectrum of antenna array is introduced. Based on the relationship between the correlation spectrum and space spectrum of MUSIC, we proposed a novel approach to improve the DOA estimation by arranging the linear antenna array elements using genetic algorithm (GA) in optimizing the correlation spectrum. The DOA estimation performance of the optimized array is validated by Monte Carlo simulation and Cramer-Rao bound (CRB), which are improved compared with that of the traditional uniform linear array and the Minimum-Redundancy array (MRA).
URL: https://globals.ieice.org/en_transactions/communications/10.1587/e87-b_8_2445/_p
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@ARTICLE{e87-b_8_2445,
author={Zhan SHI, Zhenghe FENG, },
journal={IEICE TRANSACTIONS on Communications},
title={Optimizing Elements Arrangement of Linear Antenna Array for DOA Estimation},
year={2004},
volume={E87-B},
number={8},
pages={2445-2448},
abstract={In this paper the correlation spectrum of antenna array is introduced. Based on the relationship between the correlation spectrum and space spectrum of MUSIC, we proposed a novel approach to improve the DOA estimation by arranging the linear antenna array elements using genetic algorithm (GA) in optimizing the correlation spectrum. The DOA estimation performance of the optimized array is validated by Monte Carlo simulation and Cramer-Rao bound (CRB), which are improved compared with that of the traditional uniform linear array and the Minimum-Redundancy array (MRA).},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Optimizing Elements Arrangement of Linear Antenna Array for DOA Estimation
T2 - IEICE TRANSACTIONS on Communications
SP - 2445
EP - 2448
AU - Zhan SHI
AU - Zhenghe FENG
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E87-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2004
AB - In this paper the correlation spectrum of antenna array is introduced. Based on the relationship between the correlation spectrum and space spectrum of MUSIC, we proposed a novel approach to improve the DOA estimation by arranging the linear antenna array elements using genetic algorithm (GA) in optimizing the correlation spectrum. The DOA estimation performance of the optimized array is validated by Monte Carlo simulation and Cramer-Rao bound (CRB), which are improved compared with that of the traditional uniform linear array and the Minimum-Redundancy array (MRA).
ER -