References
- Smith , D. and Singh , S. 2006 . Approaches to multisensor data fusion in target tracking: A survey . IEEE Trans. on Knowledge and Data Engineering , 18 ( 12 ) Dec : 1696 – 1710 .
- BarShalom , Y. and Fortmann , T. E. 1988 . Tracking and Data Association , NY : Academic .
- Blackman , S. and Popoli , R. 1999 . Design and Analysis of Modern Tracking Systems , Norwood, MA : Artech House .
- Hassab , J. C. 1989 . Underwater Signal and Data Processing , Boca Raton, FL : CRC Press .
- Nardone , S. , Lindgren , A. and Gong , K. 1984 . Fundamental properties and performance of conventional bearingsonly target motion analysis . IEEE Trans. Automatic Control , 29 ( 9 ) : 775 – 787 .
- Rao , C. R. , Sastry , C. R. and Zhou , B. 1995 . Tracking the direction of arrival of multiple moving targets . IEEE Trans. Signal Processing , 42 May : 1133 – 1144 .
- Arulampalam , M. S. , Ristic , B. , Gordon , N. and Mansell , T. 2004 . BearingsOnly tracking of manoeuvring targets using particle filters . EURASIP Applied Signal Processing , 2004 ( 15 ) : 2351 – 2365 .
- Rong Li , X. 1998 . Tracking in clutter with strongest neighbor measurements: Part I theoretical analysis . IEEE Trans. on Automatic Control , 43 ( 11 ) Nov : 15601578
- Blackman , S. S. 2004 . Multiple hypothesis tracking for multiple target tracking . IEEE A&E System Magazine , 19 ( 1 ) Jan : 216 – 223 .
- Lee , J. , Kim , B. G. , Cho , S. H. , Hong , S. and Cho , W. D. 2007 . Multitarget tracking in 3D space based on particle filter with single passive sensor . Proceedings of IEEE International Conferences on Advanced Video and Signal based Surveillance (AVSS) , Sep
- BarShalom , Y. and Li , X. R. 1993 . “ Estimation and Tracking: Principles, Techniques, and Software ” . MA : Artech House .
- Hue , C. , Cadre , J. P. and Perez , P. 2002 . Tracking multiple objects with partile filtering . IEEE Trans. on Aerospace and Electronic Systems , 38 ( 3 ) : 791 – 812 .
- Oton , M. and Fiitzgerald , W. 2002 . A Bayesian approach to tracking multiple targets using sensor arrays and particle filters . IEEE Trans. on Signal Processing , 50 ( 2 ) Jan
- Yoo , J. C. and Kim , Y. S. 2004 . Data association and target identification using range probile . Signal Processing , 84 ( 3 ) Mar : 571 – 587 .
- Wang , L. H. and Li , H. J. 1996 . Using range profiles for data association in multipletarget tracking . IEEE Trans. on Aerospace Electronic Systems , 32 ( 1 ) Jan : 445 – 450 .
- Blasch , E. and Hong , L. Data Association through Fusion of Target Track and Identification Sets . Proc. of the Third International Conference on Information Fusion .
- Oh , S. , Hwang , I. , Roy , K. and Sastry , S. A fully automated distributed multiple target tracking and identity management algorithm . AIAA Guidance, Navigation, and Control Conference . Aug .
- Weinstein , R. 2005 . RFID:A technical overview and its application to the enterprise . IT Professional , 7 ( 3 ) May–Jun : 2733
- Cho , S. H. , Lee , J. , Deng , X. , Hong , S. and Cho , W. D. 2007 . Passive sensor based dynamic object association method in wireless sensor network . Proceedings of MWSCAS07 and NEWCAS07 , Aug
- Cho , S. H. , Lee , J. and Hong , S. Proceedings of IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS) . Passive sensor based dynamic object association with particle filtering , Sep .
- Stanacevic , M. and Cauwenberghs , G. 2003 . Micropower gradient flow acoustic localizer . SolidState Circuits Conf. (ESSCIRC03) , : 69 – 72 .
- Ristic , B. , Arulampalam , S. and Gordon , N. 2002 . Beyond the Kalman Filter: Particle Filter for Tracking Application , Boston and London : Artech House Publishers .
- Arulampalam , M. S. , Maskell , S. , Gordon , N. and Clapp , T. 2002 . A tutorial on particle filters for online nonlinear/nonGaussian Bayesian tracking . IEEE Journal of Signal Processing ,