Doppler frequency estimation for a maneuvering target being tracked by passive radar using particle filter

In this paper, we estimate Doppler frequency of a maneuvering target being tracked by passive radar using two types of particle filter, the first is “Maximum Likelihood Particle Filter” (MLPF) and the second is “Minimum Variance Particle filter” (MVPF). By simulating the passive radar system that ha...

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Permalink: http://skupnikatalog.nsk.hr/Record/nsk.NSK01001102347/Details
Matična publikacija: Journal of communications software and systems (Online)
16 (2020), 4 ; str. 279-284
Glavni autori: Almanofi, Anas Mahmoud (Author), Malki, Adnan, Kazem, Ali
Vrsta građe: e-članak
Jezik: eng
Predmet:
Online pristup: https://doi.org/10.24138/jcomss.v16i4.1097
Journal of communications software and systems (Online)
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245 1 0 |a Doppler frequency estimation for a maneuvering target being tracked by passive radar using particle filter  |h [Elektronička građa] /  |c Anas Mahmoud Almanofi, Adnan Malki, Ali Kazem. 
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504 |a Bibliografija: 31 jed. 
504 |a Summary. 
520 |a In this paper, we estimate Doppler frequency of a maneuvering target being tracked by passive radar using two types of particle filter, the first is “Maximum Likelihood Particle Filter” (MLPF) and the second is “Minimum Variance Particle filter” (MVPF). By simulating the passive radar system that has the bistatic geometry “Digital Video Broadcasting-Terrestrial (DVB-T) transmitter / receiver” with these two types, we can estimate the Doppler frequency of the maneuvering target and compare the simulation results for deciding which type gives better performance. 
653 0 |a Radari  |a Pasivni radari  |a Dopplerov učinak 
700 1 |a Malki, Adnan  |4 aut  |9 HR-ZaNSK 
700 1 |a Kazem, Ali  |4 aut  |9 HR-ZaNSK 
773 0 |t Journal of communications software and systems (Online)  |x 1846-6079  |g 16 (2020), 4 ; str. 279-284  |w nsk.(HR-ZaNSK)000644741 
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