Wideband DOA estimation for uniform linear arrays based on the co-array concept

Qing Shen, Wei Liu, Wei Cui, Siliang Wu, Yimin D. Zhang, Moeness G. Amin

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

14 Citations (Scopus)

Abstract

A novel design for wideband uniform linear arrays (ULAs) with the associated group-sparsity based direction-of-arrival (DOA) estimation method is proposed. This design allows the number of source signals to significantly exceed the number of sensors. Linear frequency modulated continuous wave (LFMCW) is used as the transmitted signal to ensure the required correlation property among different frequencies. The received echo signals from multiple targets are decomposed into different frequencies by discrete Fourier transform (DFT). Then these frequency bins are divided into several pairs to increase the degrees of freedom (DOFs) based on the co-array concept in the spatio-spectral domain. Group sparsity based signal reconstruction method is employed to jointly estimate the DOA results across multiple frequency pairs. Simulation results demonstrate a significantly improved performance achieved by the proposed method.

Original languageEnglish
Title of host publication2015 23rd European Signal Processing Conference, EUSIPCO 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2835-2839
Number of pages5
ISBN (Electronic)9780992862633
DOIs
Publication statusPublished - 22 Dec 2015
Event23rd European Signal Processing Conference, EUSIPCO 2015 - Nice, France
Duration: 31 Aug 20154 Sept 2015

Publication series

Name2015 23rd European Signal Processing Conference, EUSIPCO 2015

Conference

Conference23rd European Signal Processing Conference, EUSIPCO 2015
Country/TerritoryFrance
CityNice
Period31/08/154/09/15

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