A one-dimensional ESPRIT based algorithm for joint azimuth, elevation and frequency estimation

Author

Lin, Chun-Hung ; Wu, Kuo-Hsiung ; Lin, Jen-Der ; Fang, Wen-Hsien

Author_Institution

Dept. of Electron. Eng., Nat. Taiwan Sci. & Technol. Univ., Taipei

fYear

2006

fDate

9-14 July 2006

Firstpage

1137

Lastpage

1140

Abstract

In this paper, we present a low complexity, yet high accurate one-dimensional (1-D) estimation of signal parameters via rotational invariance techniques (ESPRIT) based algorithm for joint estimation of the azimuth, elevation and frequencies in wireless communication systems. The proposed algorithm makes use of the 1-D ESPRIT algorithms to estimate these parameters alternatively in a hierarchical tree structure. Between every other 1-D ESPRIT algorithms, a temporal filtering process or a spatial beamforming process are invoked to group and isolate the incoming signals, so that the overall performance can be enhanced. Furthermore, with such a tree-structured estimation scheme, the pairing of these parameters is automatically determined. Simulation results show that the incoming signals can be well resolved even with very close parameters

Keywords

covariance matrices; filtering theory; frequency estimation; radiocommunication; trees (mathematics); 1D ESPRIT; azimuth estimation; elevation estimation; frequency estimation; hierarchical tree structure; one-dimensional estimation of signal parameters via rotational invariance techniques; spatial beamforming process; temporal filtering process; wireless communication systems; Array signal processing; Azimuth; Filtering algorithms; Frequency estimation; Parameter estimation; Signal processing; Signal resolution; Spatial resolution; Tree data structures; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium 2006, IEEE

Conference_Location

Albuquerque, NM

Print_ISBN

1-4244-0123-2

Type

conf

DOI

10.1109/APS.2006.1710737

Filename

1710737