|Table of Contents|

Chaotic Signal Detection and Track Based on Modified Extended Kalman Filter and Particle Filtering

《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

Issue:
2007年04期
Page:
514-517
Research Field:
Publishing date:
2007-08-30

Info

Title:
Chaotic Signal Detection and Track Based on Modified Extended Kalman Filter and Particle Filtering
Author(s):
XU Mao-ge1SONG Yao-liang1LIU Li-wei2
1.School of Electronic Engineering and Optoelectronic Technology;2.School of Sciences,NUST,Nanjing 210094,China
Keywords:
chaot ic signal signal detect ion ex tended Ka lman filter part icle filtering
PACS:
TN911.23
DOI:
-
Abstract:
In v iew of the difficult problem in the chao tic signal detection and track in the abom inable env ironm ents, and the degenerate phenomenon o f the trad itional extended Kalman f ilter ( EKF ) w hich is based on the f irst order lineariza tion, amod if ied EKF is developed that hasmuch better robustness than the traditiona l EKF and gets a lmost the same performance as the Unscented Ka lman filter. The two filters ment ioned above experience large track error in the low signal no ise ratio ( SNR) , and a novel particle filter wh ich can be used in the non linear and non-Gaussian env ironments is introduced and a lso its feasibility is ana ly zed. The simu lation demonstrates the superiorit ies of particle filtering in the low SNR.

References:

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Memo

Memo:
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Last Update: 2007-08-30