Next Article in Journal
Underwater Electromagnetic Sensor Networks—Part I: Link Characterization
Previous Article in Journal
A Distributed and Energy-Efficient Algorithm for Event K-Coverage in Underwater Sensor Networks
Open AccessArticle

A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array

1
School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
2
Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, China
3
School of Software, Qufu Normal University, Qufu 273165, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2017, 17(1), 190; https://doi.org/10.3390/s17010190
Received: 8 December 2016 / Revised: 6 January 2017 / Accepted: 12 January 2017 / Published: 19 January 2017
(This article belongs to the Section Physical Sensors)
In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and azimuth angles without eigendecomposition, which can avoid high computational cost. In addition, the cross-correlation matrix eliminates the effect of noise, which can achieve better DOA performance. Then, the theoretical error of the algorithm is analyzed and the Cramer–Rao bound (CRB) for the direction of arrival estimation is derived . Simulation results demonstrate that, at low signal-to-noise ratios (SNRs) and with a small number of snapshots, in contrast to Tayem’s algorithm and Kikuchi’s algorithm, the proposed algorithm achieves better DOA performance with lower complexity, while, for Gu’s algorithm, the proposed algorithm has slightly inferior DOA performance but with significantly lower complexity. View Full-Text
Keywords: low-complexity; 2D DOA estimation; L-shaped array; automatic pairing; theoretical analysis; Cramer–Rao bound low-complexity; 2D DOA estimation; L-shaped array; automatic pairing; theoretical analysis; Cramer–Rao bound
Show Figures

Figure 1

MDPI and ACS Style

Wang, Q.; Yang, H.; Chen, H.; Dong, Y.; Wang, L. A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array. Sensors 2017, 17, 190.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop