New direction of arrival estimation of coherent signals based on reconstructing matrix under unknown mutual coupling

Rui Guo; Weixing Li; Yue Zhang; Zengping Chen

doi:10.1117/1.JRS.10.015013

15 February 2016 New direction of arrival estimation of coherent signals based on reconstructing matrix under unknown mutual coupling

Rui Guo, Weixing Li, Yue Zhang, Zengping Chen

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 1, 015013 (February 2016). https://doi.org/10.1117/1.JRS.10.015013

Abstract

A direction of arrival (DOA) estimation algorithm for coherent signals in the presence of unknown mutual coupling is proposed. A group of auxiliary sensors in a uniform linear array are applied to eliminate the effects on the orthogonality of subspaces brought by mutual coupling. Then, a Toeplitz matrix, whose rank is independent of the coherency between impinging signals, is reconstructed to eliminate the rank loss of the spatial covariance matrix. Therefore, the signal and noise subspaces can be estimated properly. This method can estimate the DOAs of coherent signals under unknown mutual coupling accurately without any iteration and calibration sources. It has a low computational burden and high accuracy. Simulation results demonstrate the effectiveness of the algorithm.

Citation Download Citation

Rui Guo, Weixing Li, Yue Zhang, and Zengping Chen "New direction of arrival estimation of coherent signals based on reconstructing matrix under unknown mutual coupling," Journal of Applied Remote Sensing 10(1), 015013 (15 February 2016). https://doi.org/10.1117/1.JRS.10.015013

Published: 15 February 2016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available