Multiple-access interference constrained source extraction in wireless sensor networks

Hong Bin Chen, Jiu Chao Feng, Chi Kong Tse

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

We consider the scenario where each sensor in a sensor network observes an instantaneous linear mixture of multiple sources in a sensing field. A portion of sensors transmit their observations to a fusion center simultaneously, through channels with different gains. Due to the bandwidth constraint of links, the sensors' observations are quantized before transmission. A multiple-access interference (MAI) model is therefore adopted to measure the quality of the links under two cases. The fusion center uses a fast independent component analysis (Fast ICA) algorithm with pre-whitening to extract the sources, based on the received data from the transmitting sensors. The performance of source extraction is evaluated by numerical simulations. The results show that the second case is better regarding the impact of MAI on the performance.
Original languageEnglish
Title of host publication2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Pages2461-2464
Number of pages4
DOIs
Publication statusPublished - 26 Oct 2009
Event2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009 - Taipei, Taiwan
Duration: 24 May 200927 May 2009

Conference

Conference2009 IEEE International Symposium on Circuits and Systems, ISCAS 2009
Country/TerritoryTaiwan
CityTaipei
Period24/05/0927/05/09

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this