A Novel DOA Estimation Algorithm Using Array Rotation Technique

Xiaoyu Lan, Liangtian Wan, Guangjie Han and Joel J. P. C. Rodrigues
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Xiaoyu Lan: Electronics and Information Engineering College, Shenyang Aerospace University, NO.137 Daoyi South Avenue, Daoyi Development District, Shenyang 110136, Liaoning, China
Liangtian Wan: College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, Heilongjiang, China
Guangjie Han: Department of Information and Communication Systems, Hohai University, Changzhou 213022, Jiangsu, China
Joel J. P. C. Rodrigues: Instituto de Telecomunicações, University of Beira Interior, Covilhã 6201-001, Portugal

Future Internet, 2014, vol. 6, issue 1, 1-16

Abstract: The performance of traditional direction of arrival (DOA) estimation algorithm based on uniform circular array (UCA) is constrained by the array aperture. Furthermore, the array requires more antenna elements than targets, which will increase the size and weight of the device and cause higher energy loss. In order to solve these issues, a novel low energy algorithm utilizing array base-line rotation for multiple targets estimation is proposed. By rotating two elements and setting a fixed time delay, even the number of elements is selected to form a virtual UCA. Then, the received data of signals will be sampled at multiple positions, which improves the array elements utilization greatly. 2D-DOA estimation of the rotation array is accomplished via multiple signal classification (MUSIC) algorithms. Finally, the Cramer-Rao bound (CRB) is derived and simulation results verified the effectiveness of the proposed algorithm with high resolution and estimation accuracy performance. Besides, because of the significant reduction of array elements number, the array antennas system is much simpler and less complex than traditional array.

Keywords: irection of arrival (DOA) estimation; spatial spectrum estimation; multiple signal classification (MUSIC); array rotation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2014
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