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Adaptive acquisition threshold algorithm based on mean energy

  • Beihang University

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

Abstract

An adaptive acquisition threshold algorithm based on mean energy (MEAT) was proposed. Conditional probability of acquisition decision variable in MEAT was analyzed under the two hypotheses of synchronization and non-synchronization, and its false alarm probability and detection probability were deduced. Then simulation on Direct-Sequence Spread-Spectrum (DSSS) system using MEAT was made whose result shows the Constant False Alarm Rate (CFAR) characteristic of MEAT and the improvement of detection probability of MEAT relative to traditional fixed threshold algorithm.

Original languageEnglish
Title of host publicationProceedings - 3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013
PublisherIEEE Computer Society
Pages634-637
Number of pages4
ISBN (Print)9780769551227
DOIs
StatePublished - 2013
Event3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013 - Shenyang, Liaoning, China
Duration: 21 Sep 201323 Sep 2013

Publication series

NameProceedings - 3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013

Conference

Conference3rd International Conference on Instrumentation and Measurement, Computer, Communication and Control, IMCCC 2013
Country/TerritoryChina
CityShenyang, Liaoning
Period21/09/1323/09/13

Keywords

  • PN acquisition
  • adaptive threshold
  • direct-sequence spread-spectrum systems

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