Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Journal of Applied Sciences
  Year: 2009 | Volume: 9 | Issue: 2 | Page No.: 201-213
DOI: 10.3923/jas.2009.201.213
Fast Adaptive Update Rate for Tracking a Manoeuvring Target with a Phased Array Radar, Using IMM and MRIMM Algorithms
H. Benoudnine, M. Keche, A. Ouamri and M .S. Woolfson

Abstract:
In this study, a new fast method for selecting the next update time in two maneuvering target tracking algorithms, namely the Interacting Multiple Models (IMM) algorithm and the Multi Rate Interacting Multiple Models (MRIMM), will be presented. Both IMM and MRIMM are used here to predict and estimate the target`s possible states and to select the correct next update time. The idea is to assign to each model in the IMM and MRIMM algorithms an appropriate rate and to weight these rates by the models` probabilities to obtain the rate to use. The resulting algorithms are named, respectively, the Fast Adaptive IMM (FAIMM) algorithm and the Adaptive MRIMM (AMRIMM) algorithm. Using Monte Carlo simulations, the performances of these algorithms are compared to that of the Adaptive IMM algorithm that uses Van Keuk criterion to select the next update time and to that of the IMM algorithm and MRIMM that use a constant update time.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Fast Moving Small Target Tracking Based on Local Background Gaussian Mixture Model
How to cite this article:

H. Benoudnine, M. Keche, A. Ouamri and M .S. Woolfson, 2009. Fast Adaptive Update Rate for Tracking a Manoeuvring Target with a Phased Array Radar, Using IMM and MRIMM Algorithms. Journal of Applied Sciences, 9: 201-213.

DOI: 10.3923/jas.2009.201.213

URL: https://scialert.net/abstract/?doi=jas.2009.201.213

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 
 
 

       

       

Curve Bottom