DocumentCode
1773071
Title
Computational performance improvements of multiple hypothesis tracking algorithm
Author
Kwiatkowski, Marek ; Sankowski, Mioslaw ; Lukwinski, Dawid
Author_Institution
PIT-RADWAR S.A., Gdańsk, Poland
fYear
2014
fDate
16-18 June 2014
Firstpage
1
Lastpage
6
Abstract
Multiple hypothesis tracking (MHT) is considered to be the preferred solution for track formation and target tracking in complex environment. Main difficulty with MHT is it´s high computing power requirements. This paper deals with several aspects of computational performance of this algorithm. Improvements like space division, multithread processing and fast hypotheses generation techniques are considered.
Keywords
radar tracking; target tracking; computational performance; computational performance improvements; computing power requirements; hypotheses generation techniques; multiple hypothesis tracking algorithm; multithread processing; space division; target tracking; track formation; Aerospace electronics; Computational modeling; Instruction sets; Noise; Radar tracking; Target tracking; Target tracking; multiple hypothesis tracking; multithread processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar Symposium (IRS), 2014 15th International
Conference_Location
Gdansk
Print_ISBN
978-617-607-552-3
Type
conf
DOI
10.1109/IRS.2014.6869247
Filename
6869247
Link To Document