Distributed multi-sensor particle filter for bearings-only tracking

References

• Aidala , VJ and Hammel , SE . 1983 . Utilization of Modified Polar Coordinates for Bearings-only Tracking . IEEE Transactions on Automatic Control , 28 : 283 – 294 .
   Web of Science ®Google Scholar
• Allerton , DJ and Jia , H . 2008 . Distributed Data Fusion Algorithms for Inertial Network Systems . IET Radar Sonar and Navigation , 2 : 51 – 62 .
   Web of Science ®Google Scholar
• Arulampalam , MS , Maskell , S , Gordon , N and Clapp , T . 2002 . A Tutorial on Particle Filters for Online Non-linear/Non-Gaussian Bayesian Tracking . IEEE Transactions on Signal Processing , 50 : 174 – 188 .
   Web of Science ®Google Scholar
• Blackman , SS and Popoli , SS . 1999 . Design and Analysis of Modern Tracking Systems , Boston : Artech House .
   Google Scholar
• Brehard , T and Le Cadre , J-P . 2006 . Closed-form Posterior Cramer-Rao Bounds for Bearings-only Tracking . IEEE Transactions on Aerospace and Electronic Systems , 42 : 1198 – 1223 .
   Web of Science ®Google Scholar
• Brehard , T and Le Cadre , J-P . 2007 . Hierarchical Particle Filter for Bearings-only Tracking . IEEE Transactions on Aerospace and Electronic Systems , 43 : 1567 – 1585 .
   Web of Science ®Google Scholar
• Castaneda , N . Charbit, M., and Moulines, E. (2007), ‘A New Bearings-only Tracking Algorithm for Ground Moving Targets Constrained to Roads’, in IEEE 8th Workshop on Signal Processing Advances in Wireless Communications, Helsinki, Finland, pp. 415–419
   Google Scholar
• Gordon , N , Salmond , D and Smith , A . 1993 . Novel Approach to Non-linear/Non-Gaussian Bayesian State Estimation . Proceedings of the IEE , 140 : 107 – 113 .
   Google Scholar
• Hassab , JC . 1989 . Underwater Signal and Data Processing , Boca Raton , FL : CRC Press .
   Google Scholar
• Hoffmann , GM and Tomlin , CJ . 2010 . Mobile Sensor Network Control using Mutual Information Methods and Particle Filters . IEEE Transactions on Automatic Control , 55 : 32 – 47 .
   Web of Science ®Google Scholar
• Jauffret , C and Pillon , D . 1996 . Observability in Passive Target Motion Analysis . IEEE Transactions on Aerospace and Electronic Systems , 32 : 1290 – 1300 .
   Web of Science ®Google Scholar
• Li , XR , Zhu , YM , Wang , J and Han , CZ . 2003 . Optimal Linear Estimation Fusion – Part I: Unified Fusion Rules . IEEE Transactions on Information Theory , 49 : 2192 – 2208 .
   Web of Science ®Google Scholar
• Peach , N . 1995 . Bearings-only Tracking using a Set of Range-parameterised Extended Kalman Filters . IEE Proceedings: Control Theory and Applications , 142 : 73 – 80 .
   Google Scholar
• Rao , SK . 2005 . Modified Gain Extended Kalman Filter with Application to Bearings-only Passive Manoeuvring Target Tracking . IEE Proceedings: Radar Sonar and Navigation , 152 : 239 – 244 .
   Web of Science ®Google Scholar
• Rao , SK . and Babu, V.S. (2008), ‘Unscented Kalman Filter with Application to Bearings-only Passive Manoeuvring Target Tracking’, in IEEE International Conference on Signal processing, Communications and Networking, Chennai, India, pp. 219–224
   Google Scholar
• Shar , P and Li , XR . 1999 . A Practical Approach to Observability of Bearings-only Target Tracking . Proceedings of SPIE , 3809 : 514 – 520 .
   Google Scholar
• Sun , SL . 2007 . Optimal and Self-tuning Information Fusion Kalman Multi-step Predictor . IEEE Transactions on Aerospace and Electronic Systems , 43 : 418 – 427 .
   Web of Science ®Google Scholar
• Sun , SL and Deng , ZL . 2004 . Multi-sensor Optimal Information Fusion Kalman Filter . Automatica , 40 : 1017 – 1023 .
   Web of Science ®Google Scholar
• Tichavsky , P , Muravchik , C and Nehorai , A . 1998 . Posterior Cramer-Rao Bounds for Discrete-time Nonlinear Filtering . IEEE Transactions on Signal Processing , 46 : 1386 – 1396 .
   Web of Science ®Google Scholar
• Ulker , Y . Gunsel, B., and Kirbiz, S. (2008), ‘A Multiple Model Structure for Tracking by Variable Rate Particle Filters’, in 19th International Conference on Pattern Recognition (ICPR), Tampa, FL, USA, pp. 1–4
   Google Scholar
• Vihola , M . 2007 . Rao-Blackwellised Particle Filtering in Random Set Multitarget Tracking . IEEE Transactions on Aerospace and Electronic Systems , 43 : 689 – 705 .
   Web of Science ®Google Scholar
• Willner , D . Chang, C.B., and Dunn, K.P. (1976), ‘Kalman Filer Algorithm for a Multisensor System’, in Proceedings of IEEE Conference Decision and Control, Clearwater, FL, pp. 570–574
   Google Scholar
• Willsky , AS . 1976 . A Survey of Design Method for Failure Detection in Dynamic Systems . Automatica , 12 : 601 – 611 .
   Web of Science ®Google Scholar
• Wu , L and Ho , DWC . 2009 . Fuzzy Filter Design for Ito Stochastic Systems with Application to Sensor Fault Detection . IEEE Transactions on Fuzzy Systems , 17 : 233 – 242 .
   Web of Science ®Google Scholar
• Yang , G-H and Wang , H . 2010 . Fault Detection for Linear Uncertain Systems with Sensor Faults . IET Control Theory and Applications , 4 : 923 – 935 .
   Web of Science ®Google Scholar