Next Article in Journal
Effects of Sensor Location on Dynamic Load Estimation in Weigh-in-Motion System
Next Article in Special Issue
Review of Recent Phased Arrays for Millimeter-Wave Wireless Communication
Previous Article in Journal
Pixel-Wise Crack Detection Using Deep Local Pattern Predictor for Robot Application
Previous Article in Special Issue
Tensor-Based Angle Estimation Approach for Strictly Noncircular Sources with Unknown Mutual Coupling in Bistatic MIMO Radar
Article Menu
Issue 9 (September) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(9), 3043; https://doi.org/10.3390/s18093043

DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table

State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
Received: 16 August 2018 / Revised: 2 September 2018 / Accepted: 7 September 2018 / Published: 12 September 2018
(This article belongs to the Special Issue Recent Advances in Array Processing for Wireless Applications)
Full-Text   |   PDF [1367 KB, uploaded 12 September 2018]   |  

Abstract

In order to improve the angle measurement performance of a coprime linear array, this paper proposes a novel direction-of-arrival (DOA) estimation algorithm for a coprime linear array based on the multiple invariance estimation of signal parameters via rotational invariance techniques (MI-ESPRIT) and a lookup table method. The proposed algorithm does not require a spatial spectrum search and uses a lookup table to solve ambiguity, which reduces the computational complexity. To fully use the subarray elements, the DOA estimation precision is higher compared with existing algorithms. Moreover, the algorithm avoids the matching error when multiple signals exist by using the relationship between the signal subspace of two subarrays. Simulation results verify the effectiveness of the proposed algorithm. View Full-Text
Keywords: coprime linear array; DOA estimation; solving ambiguity; MI-ESPRIT; lookup table coprime linear array; DOA estimation; solving ambiguity; MI-ESPRIT; lookup table
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhang, W.; Chen, X.; Cui, K.; Xie, T.; Yuan, N. DOA Estimation for Coprime Linear Array Based on MI-ESPRIT and Lookup Table. Sensors 2018, 18, 3043.

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.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top