DocumentCode
2226439
Title
On low-power analog implementation of particle filters for target tracking
Author
Velmurugan, Rajbabu ; Subramanian, Shyam ; Cevher, Volkan ; Abramson, David ; Odame, Kofi M. ; Gray, Jordan D. ; Haw-Jing Lo ; McClellan, James H. ; Anderson, David V.
Author_Institution
Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2006
fDate
4-8 Sept. 2006
Firstpage
1
Lastpage
5
Abstract
We propose a low-power, analog and mixed-mode, implementation of particle filters. Low-power analog implementation of nonlinear functions such as exponential and arctangent functions is done using multiple-input translinear element (MITE) networks. These nonlinear functions are used to calculate the probability densities in the particle filter. A bearings-only tracking problem is simulated to present the proposed low-power implementation of the particle filter algorithm.
Keywords
particle filtering (numerical methods); probability; target tracking; MITE network; arctangent function; bearings-only tracking problem; exponential functions; low-power analog implementation; multiple-input translinear element network; nonlinear function; particle filter algorithm; probability density; target tracking; Abstracts; Clocks; Sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference, 2006 14th European
Conference_Location
Florence
ISSN
2219-5491
Type
conf
Filename
7071691
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