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Journal of Applied Remote Sensing • new

ESPRIT-like algorithm for computational-efficient angle estimation in bistatic multiple-input multiple-output radar
Author(s): Jian Gong; Shuntian Lou; Yiduo Guo
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Paper Abstract

An estimation of signal parameters via a rotational invariance techniques–like (ESPRIT-like) algorithm is proposed to estimate the direction of arrival and direction of departure for bistatic multiple-input multiple-output (MIMO) radar. The properties of a noncircular signal and Euler’s formula are first exploited to establish a real-valued bistatic MIMO radar array data, which is composed of sine and cosine data. Then the receiving/transmitting selective matrices are constructed to obtain the receiving/transmitting rotational invariance factors. Since the rotational invariance factor is a cosine function, symmetrical mirror angle ambiguity may occur. Finally, a maximum likelihood function is used to avoid the estimation ambiguities. Compared with the existing ESPRIT, the proposed algorithm can save about 75% of computational load owing to the real-valued ESPRIT algorithm. Simulation results confirm the effectiveness of the ESPRIT-like algorithm.

Paper Details

Date Published: 15 April 2016
PDF: 10 pages
J. Appl. Remote Sens. 10(2) 025003 doi: 10.1117/1.JRS.10.025003
Published in: Journal of Applied Remote Sensing Volume 10, Issue 2
Show Author Affiliations
Jian Gong, Xidian Univ. (China)
Air Force Engineering Univ. (China)
Shuntian Lou, Xidian Univ. (China)
Yiduo Guo, Air Force Engineering Univ. (China)

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