Investigating the effects of tuning parameters on the orthogonal clustering algorithm in time delay estimation

Haider Ali*, Ahmad A. Quadeer, Mohammad S. Sharawi, Tareq Y. Al-Naffouri

*Corresponding author for this work

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

Abstract

Localization systems are most often based on time delay estimation (TDE) techniques. TDE techniques based on channel impulse response (CIR) are effective in reverberant environment such as indoors. A recently developed algorithm called Orthogonal Clustering (OC) algorithm is one such algorithm that estimates the CIR utilizing a sparse signal reconstruction approach. OC is based on low complexity Bayesian method utilizing the sparsity constraint, the sensing matrix structure and the a priori statistical information. In practical systems several parameters affect the performance of a localization system based on OC TDE. Therefore, it is necessary to analyze the performance of an algorithm when certain parameters vary. In this paper we investigate the effect of variations in different parameters on the performance of the OC algorithm used in an impulsive acoustic source localization (IASL) system.

Original languageEnglish (US)
Title of host publication2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013 - Sharjah, United Arab Emirates
Duration: Feb 12 2013Feb 14 2013

Other

Other2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013
CountryUnited Arab Emirates
CitySharjah
Period02/12/1302/14/13

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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