Continuous Wavelet Transform and Hidden Markov Model Based Target Detection
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Date
2014-04
Authors
Tugac, Serdar
Efe, Murat
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Abstract
Standard tracking filters perform target detection process by comparing the sensor output signal with a predefined threshold. However, selecting the detection threshold is of great importance and a wrongly selected threshold causes two major problems. The first problem occurs when the selected threshold is too low which results in increased false alarm rate. The second problem arises when the selected threshold is too high resulting in missed detection. Track-before-detect (TBD) techniques eliminate the need for a detection threshold and provide detecting and tracking targets with lower signal-to-noise ratios than standard methods. Although TBD techniques eliminate the need for detection threshold at sensor’s signal processing stage, they often use tuning thresholds at the output of the filtering stage. This paper presents a Continuous Wavelet Transform (CWT) and Hidden Markov Model (HMM) based target detection method for employing with TBD techniques which does not employ any thresholding.
Description
Citation
Radioengineering. 2014, vol. 23, č. 1, s. 96-103. ISSN 1210-2512
http://www.radioeng.cz/fulltexts/2014/14_01_0096_0103.pdf
http://www.radioeng.cz/fulltexts/2014/14_01_0096_0103.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en