Joint 2-D angle and frequency estimation for uniform circular array

Fu Tuo*, Jin Shi, Gao Xiqi

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Citations (Scopus)

Abstract

In this paper, we address the problem of joint 2-D angle and frequency estimation based on uniform circular array (UCA). We derive an ESPRIT-type algorithm to solve this problem and handle the estimation jointly by stacking the data matrix. We show that Anally this problem turns to the estimation of the real joint eigenvalues of four real matrices. We solve the joint eigenvalue estimation by a recently proposed simultaneous diagonalization algorithm in order to achieve the advantages of the algorithm, i.e. strong identifiability results and autopairing capacity. The limitation of such strategy for UCA is also discussed.

Original languageEnglish
Title of host publication2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings - Signal Processing
Pages230-233
Number of pages4
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event2006 International Conference on Communications, Circuits and Systems, ICCCAS - Guilin, China
Duration: 25 Jun 200628 Jun 2006

Publication series

Name2006 International Conference on Communications, Circuits and Systems, ICCCAS, Proceedings
Volume1

Conference

Conference2006 International Conference on Communications, Circuits and Systems, ICCCAS
Country/TerritoryChina
CityGuilin
Period25/06/0628/06/06

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