Abstract

We consider the problem of source localization with signals that are quantized to a single bit. While this problem has been previously addressed for narrowband signals quantized in complex baseband, we consider wideband signals quantized directly in the time domain. We adapt the generalized cross correlation estimator to work with quantized signals and analyze its theoretical performance as a function of the signal-to-noise ratio (SNR). We find that quantization imposes a small penalty at low SNR but scales poorly at high SNR. Furthermore, we analyze the effects of sampling on estimation performance and show that oversampling is necessary at high SNR. Finally, we apply the generalized cross correlation weighting function to steered response power direction-of-arrival estimation with a larger array. We demonstrate the performance of the system for speech localization.

Original languageEnglish (US)
Title of host publication2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538612514
DOIs
StatePublished - Mar 9 2018
Event7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017 - Curacao
Duration: Dec 10 2017Dec 13 2017

Publication series

Name2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
Volume2017-December

Conference

Conference7th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2017
CityCuracao
Period12/10/1712/13/17

Keywords

  • DOA estimation
  • array processing
  • coarse quantization
  • delay estimation
  • source localization

ASJC Scopus subject areas

  • Signal Processing
  • Control and Optimization
  • Instrumentation

Fingerprint

Dive into the research topics of 'Wideband source localization using one-bit quantized arrays'. Together they form a unique fingerprint.

Cite this