ESPRIT-like algorithm for computational-efficient angle estimation in bistatic multiple-input multiple-output radar

Jian Gong; Shuntian Lou; Yiduo Guo

doi:10.1117/1.JRS.10.025003

15 April 2016 ESPRIT-like algorithm for computational-efficient angle estimation in bistatic multiple-input multiple-output radar

Jian Gong, Shuntian Lou, Yiduo Guo

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 10, Issue 2, 025003 (April 2016). https://doi.org/10.1117/1.JRS.10.025003

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.

Citation Download Citation

Jian Gong, Shuntian Lou, and Yiduo Guo "ESPRIT-like algorithm for computational-efficient angle estimation in bistatic multiple-input multiple-output radar," Journal of Applied Remote Sensing 10(2), 025003 (15 April 2016). https://doi.org/10.1117/1.JRS.10.025003

Published: 15 April 2016

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