Fast algorithm for joint azimuth and elevation angles, and frequency estimation via hierarchical space-time decomposition

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

This paper presents a fast algorithm for joint estimation of the azimuth and elevation angles, and frequencies of the incoming signals using a hierarchical space-time decomposition (HSTD) technique. Based on the HSTD, the proposed algorithm makes use of a sequence of one-dimensional (1-D) Unitary Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT) algorithms to estimate these parameters alternatively in a hierarchical tree structure. Also, in between every other 1-D Unitary ESPRIT, a temporal filtering process or a spatial beamforming process is invoked to partition the signals into finer groups to enhance the estimation accuracy and to alleviate the contaminated noise. Furthermore, the pairing of these parameters is automatically determined. Simulation results show that the new algorithm provides satisfactory performance but with drastically reduced computations compared with previous works. Simulation results show that the new algorithm provides satisfactory performance but with drastically reduced computations compared with previous works.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
DOIs
Publication statusPublished - 2007 Aug 6
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: 2007 Apr 152007 Apr 20

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2
ISSN (Print)1520-6149

Other

Other2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
CountryUnited States
CityHonolulu, HI
Period07-04-1507-04-20

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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