A Cross-Correlation Threshold Based Direction-of-Arrival Estimator for Active Sensing Systems

Linlin Mao, Shefeng Yan, Lijun Xu

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

Abstract

In this paper, we aim to improve the direction-of-Arrival (DOA) estimation performance at low signal-To-noise ratios (SNRs) for active underwater sensing systems. A cross-correlation based Multiple Signal Classification (MUSIC) method is proposed, which perform matrix decomposition over the spatial covariance calculated from the cross-correlation sequences between the transmit waveform and the array output. It is shown via theoretical analysis that crosscorrelation processing preserves the phase information between array elements while suppressing the noise. Inspired by endpoint detection, a cross-correlation threshold based method is also developed to reduce the computation burden and further improve the performance of DOA estimation. Simulation results illustrate the superior performance of the proposed methods.

Original languageEnglish
Title of host publication2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538661192
DOIs
Publication statusPublished - 30 Nov 2018
Externally publishedYes
Event10th International Conference on Wireless Communications and Signal Processing, WCSP 2018 - Hangzhou, China
Duration: 18 Oct 201820 Oct 2018

Publication series

Name2018 10th International Conference on Wireless Communications and Signal Processing, WCSP 2018

Conference

Conference10th International Conference on Wireless Communications and Signal Processing, WCSP 2018
Country/TerritoryChina
CityHangzhou
Period18/10/1820/10/18

Keywords

  • Direction-of-Arrival (DOA) estimation
  • active underwater sensing systems
  • cross-correlation

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