Computation of Association Probabilities for Single Target Tracking with the Use of Adaptive Neuro-Fuzzy Inference System

İlke TÜRKMEN Kerim GÜNEY

Article Details

Computation of Association Probabilities for Single Target Tracking with the Use of Adaptive Neuro-Fuzzy Inference System

Authors:

İlke TÜRKMEN Kerim GÜNEY

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 1, pp.105-118

Document Type:

Article

Publication Date:

12/2004

Document Language:

Turkish

Document ID (Org No.):

2000744231

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

In this study, a simple method based on the adaptive  neuro-fuzzy inference system (ANFIS) is presented for computing the  association probabilities.  The computed association probabilities are  used to track the single manoeuvring target in the cluttered  environment.  A hybrid learning algorithm, which combines the least  square method and the backpropagation algorithm, is used to identify  the parameters of ANFIS. The tracks estimated by using the method  proposed in this study are in very good agreement with the true  tracks.  Better accuracy with respect to the well known nearest  neighbour Kalman filter and probabilistic data association algorithms  is obtained.

 

In this study, a simple method based on the adaptive  neuro-fuzzy inference system (ANFIS) is presented for computing the  association probabilities.  The computed association probabilities are  used to track the single manoeuvring target in the cluttered  environment.  A hybrid learning algorithm, which combines the least  square method and the backpropagation algorithm, is used to identify  the parameters of ANFIS. The tracks estimated by using the method  proposed in this study are in very good agreement with the true  tracks.  Better accuracy with respect to the well known nearest  neighbour Kalman filter and probabilistic data association algorithms  is obtained.

Article Details

Computation of Association Probabilities for Single Target Tracking with the Use of Adaptive Neuro-Fuzzy Inference System

Authors: İlke TÜRKMEN Kerim GÜNEY

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 1, pp.105-118

Document Type: Article

Publication Date: 12/2004

Document Language: Turkish

Document ID (Org No.): 2000744231

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

İlke TÜRKMEN Kerim GÜNEY

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2005 Vol.13 Issue 1, pp.105-118

Document Type:

Article

Publication Date:

12/2004

Document Language:

Turkish

Document ID (Org No.):

2000744231

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632