dc.contributor.author |
De Freitas, Allan
|
|
dc.contributor.author |
De Villiers, Johan Pieter
|
|
dc.contributor.author |
Nel, W.A.J.
|
|
dc.date.accessioned |
2015-06-11T07:30:01Z |
|
dc.date.available |
2015-06-11T07:30:01Z |
|
dc.date.issued |
2015-06 |
|
dc.description.abstract |
A target of interest measured by a high range resolution radar may be modelled by multiple dominant points
of reflections referred to as dominant scatterers. In this paper a non-linear state space setting is used to model the
states and measurements of a target moving in the down- and cross-range dimensions. A resample-move particle
filter with simulated annealing is successfully used to jointly infer the locations of the dominant scatterers and the
motion parameters of the target. A novel technique for the initialization of the particle filter for the given application
is presented. The location estimates of scatterers using the particle filter method are compared to those obtained
using standard range-Doppler inverse synthetic aperture radar (ISAR) imaging when using the same radar returns for
both cases. The particle filter infers the location of scatterers more accurately than range-Doppler ISAR processing,
and the processing can be performed online as opposed to ISAR processing, which requires batching. It is relatively
straightforward to extend the method to perform localisation and tracking of scatterers in three dimensions, whereas
such an extension is challenging in range-Doppler ISAR processing. However, several challenges need be addressed
to make this algorithm suitable for practical implementation and these challenges are discussed. This method may
be used to obtain very accurate estimates of target state, which may in turn be used for accurate ISAR motion
compensation. Given enough computing resources this algorithm may in future become the basis of a new radar
target imaging scheme. |
en_ZA |
dc.description.librarian |
hb2015 |
en_ZA |
dc.description.sponsorship |
King Abdulaziz City for Science and Technology (KACST) in the
Kingdom of Saudi Arabia and the Council for Scientific and Industrial Research (CSIR) in South Africa. |
en_ZA |
dc.description.uri |
http://digital-library.theiet.org/content/journals/iet-rsn |
en_ZA |
dc.identifier.citation |
De Freitas, A., De Villiers, JP & Nel, WAJ 2015, 'Joint inference of dominant scatterer locations and motion parameters of an extended target in high range-resolution radar', IET Radar, Sonar and Navigation, vol. 9, no. 1, pp. 519-530. |
en_ZA |
dc.identifier.issn |
1751-8784 (print) |
|
dc.identifier.issn |
1751-8792 (online) |
|
dc.identifier.other |
10.1049/iet-rsn.2014.0229 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/45460 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
Institution of Engineering and Technology |
en_ZA |
dc.rights |
© The Institution of Engineering and Technology 2015. This paper is a postprint of a paper submitted to and accepted for publication in IET Radar, Sonar & Navigation and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library. |
en_ZA |
dc.subject |
Extended target tracking |
en_ZA |
dc.subject |
High range-resolution radar |
en_ZA |
dc.subject |
Particle filter (PF) |
en_ZA |
dc.subject |
Inverse synthetic aperture radar (ISAR) |
en_ZA |
dc.title |
Joint inference of dominant scatterer locations and motion parameters of an extended target in high range-resolution radar |
en_ZA |
dc.type |
Postprint Article |
en_ZA |