Applying neural network algorithm to data association technique

Y. N. Chung, H. T. Chen, D. J. Juang, J. Y. Chen, J. R. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Data association plays an important role in radar tracking algorithm. The problem of tracking multiple targets is studied in this paper. In order to solve the complicated situation and reduce computation burden because of the multiple tracking environment, an approach has been developed in this paper. This algorithm is implemented with an adaptive filter which consists of a data association technique denoted competitive Hopfield neural network and Kalman filtering to solve both data association and target tracking problems simultaneously. In order to prove the tracking performance, a computer simulation algorithm is proposed in this paper. Because of its computation capability of this algorithm, the radar measurement related to existed target tracks can be chosen optimally. Computer simulation results indicate that this approach successfully and optimally solves the data association problems.

Original languageEnglish
Title of host publicationProceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005
EditorsT. Roska, B.E. Shi, Z. Chen, C.-T. Lin, C. Rekeczky
Pages114-117
Number of pages4
Publication statusPublished - 2005 Oct 31
Event9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA - Hsinchu, Taiwan
Duration: 2005 May 282005 May 30

Other

Other9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA
CountryTaiwan
CityHsinchu
Period05-05-2805-05-30

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Neural networks
Radar tracking
Hopfield neural networks
Radar measurement
Computer simulation
Adaptive filters
Target tracking

All Science Journal Classification (ASJC) codes

  • Software

Cite this

Chung, Y. N., Chen, H. T., Juang, D. J., Chen, J. Y., & Lee, J. R. (2005). Applying neural network algorithm to data association technique. In T. Roska, B. E. Shi, Z. Chen, C-T. Lin, & C. Rekeczky (Eds.), Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005 (pp. 114-117)
Chung, Y. N. ; Chen, H. T. ; Juang, D. J. ; Chen, J. Y. ; Lee, J. R. / Applying neural network algorithm to data association technique. Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005. editor / T. Roska ; B.E. Shi ; Z. Chen ; C.-T. Lin ; C. Rekeczky. 2005. pp. 114-117
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title = "Applying neural network algorithm to data association technique",
abstract = "Data association plays an important role in radar tracking algorithm. The problem of tracking multiple targets is studied in this paper. In order to solve the complicated situation and reduce computation burden because of the multiple tracking environment, an approach has been developed in this paper. This algorithm is implemented with an adaptive filter which consists of a data association technique denoted competitive Hopfield neural network and Kalman filtering to solve both data association and target tracking problems simultaneously. In order to prove the tracking performance, a computer simulation algorithm is proposed in this paper. Because of its computation capability of this algorithm, the radar measurement related to existed target tracks can be chosen optimally. Computer simulation results indicate that this approach successfully and optimally solves the data association problems.",
author = "Chung, {Y. N.} and Chen, {H. T.} and Juang, {D. J.} and Chen, {J. Y.} and Lee, {J. R.}",
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Chung, YN, Chen, HT, Juang, DJ, Chen, JY & Lee, JR 2005, Applying neural network algorithm to data association technique. in T Roska, BE Shi, Z Chen, C-T Lin & C Rekeczky (eds), Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005. pp. 114-117, 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA, Hsinchu, Taiwan, 05-05-28.

Applying neural network algorithm to data association technique. / Chung, Y. N.; Chen, H. T.; Juang, D. J.; Chen, J. Y.; Lee, J. R.

Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005. ed. / T. Roska; B.E. Shi; Z. Chen; C.-T. Lin; C. Rekeczky. 2005. p. 114-117.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Applying neural network algorithm to data association technique

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AB - Data association plays an important role in radar tracking algorithm. The problem of tracking multiple targets is studied in this paper. In order to solve the complicated situation and reduce computation burden because of the multiple tracking environment, an approach has been developed in this paper. This algorithm is implemented with an adaptive filter which consists of a data association technique denoted competitive Hopfield neural network and Kalman filtering to solve both data association and target tracking problems simultaneously. In order to prove the tracking performance, a computer simulation algorithm is proposed in this paper. Because of its computation capability of this algorithm, the radar measurement related to existed target tracks can be chosen optimally. Computer simulation results indicate that this approach successfully and optimally solves the data association problems.

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Chung YN, Chen HT, Juang DJ, Chen JY, Lee JR. Applying neural network algorithm to data association technique. In Roska T, Shi BE, Chen Z, Lin C-T, Rekeczky C, editors, Proceedings - 9th IEEE International Workshop on Cellular Neural Networks and their Applications, CNNA2005. 2005. p. 114-117