Adaptive threshold for fast signal detection in multi-target tracking

Haiying Shang*, Jianping An, Weiyu An, Hangcheng Han

*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

An adaptive threshold algorithm is used for frequency-shift keying (FSK) demodulation in multi-targets and radar communication system. The special algorithm is needed because of the radar burst signal in this system. The selection of the threshold is generally a tradeoff between the goals of maximizing the probability of detection while minimizing false alarm. It replies radar pulse immediately without carrier synchronization, so the threshold is calculated by the priori knowledge of the signal amplitudes. CIC filter can save resource and is used after first down-conversion, but its performance of detection is not as good as FIR filter. Simulation results show that the adaptive threshold algorithm can reduce the probabilities of miss detection and false alarm.

Original languageEnglish
Title of host publication2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Pages429-432
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010 - Changsha, China
Duration: 11 May 201012 May 2010

Publication series

Name2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Volume1

Conference

Conference2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010
Country/TerritoryChina
CityChangsha
Period11/05/1012/05/10

Keywords

  • Adaptive threshold
  • CIC filter
  • False alarm
  • Signal detection

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