DocumentCode
2627874
Title
Particle filtering algorithm for detecting a maneuvering target
Author
Koshelev, V.I. ; Belokurov, V.A. ; Kozlov, D.N.
Author_Institution
Radio Eng. Dept., Ryazan State Radioeng. Univ., Ryazan, Russia
fYear
2013
fDate
12-13 Sept. 2013
Firstpage
1
Lastpage
2
Abstract
Particle filter on track-before-detect algorithms are widely used for detecting of the radar targets at low signal-to-noise ratio. A track-before-detect algorithm based on the information about target´ distance, velocity and acceleration is considered. We introduce a likelihood relation that takes into account the multi-channel with respect to acceleration structure of the preprocessing system. We show that the proposed algorithm enables the detection of a non-uniformly moving target at SNR 0.5 to 1.0 dB.
Keywords
object detection; particle filtering (numerical methods); radar detection; SNR; acceleration structure; likelihood relation; maneuvering target detection; nonuniformly moving target; particle filtering algorithm; radar target detection; signal-to-noise ratio; track-before-detect algorithm; Acceleration; Algorithm design and analysis; Noise; Particle filters; Radar tracking; Target tracking; Vectors; dim radar targets; track-before-detect;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Communications (SIBCON), 2013 International Siberian Conference on
Conference_Location
Krasnoyarsk
Print_ISBN
978-1-4799-1060-1
Type
conf
DOI
10.1109/SIBCON.2013.6693586
Filename
6693586
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