Distributed target tracking under communication constraints

In distributed tracking, communication bandwidth is one of the most expensive resources when we require to send measurements to other locations for processing. Furthermore, bandwidth requirement increases when tracking in clutter is considered due to transmission of target as well as clutter measurements. This paper describes the tracking in clutter under bandwidth constraints. The main idea is that instead of sending all target and clutter measurements we combine them into a weighted sum and transmit the resultant measurement. A novel Bayesian filter is proposed utilising the received measurement information. We observe some loss of performance as compared to local tracker, however it is considerably small.

[1]  Oliver E. Drummond,et al.  Hybrid sensor fusion algorithm architecture and tracklets , 1997, Optics & Photonics.

[2]  Robin J. Evans,et al.  Fundamentals of Object Tracking , 2011 .

[3]  Peng Zhang,et al.  Optimal linear estimation fusion - part VI: sensor data compression , 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

[4]  Robin J. Evans,et al.  Track fusion using equivalent innovations , 2007, 2007 10th International Conference on Information Fusion.

[5]  Aniello Buonocore,et al.  A note on the sum of uniform random variables , 2009 .

[6]  Robin J. Evans,et al.  Cooperative sensor networks with bandwidth constraints , 2002, SPIE Defense + Commercial Sensing.

[7]  Zhisheng You,et al.  Optimal sensor data linear compression in multisensor estimation fusion , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[8]  Chongzhao Han,et al.  Optimal linear estimation fusion .I. Unified fusion rules , 2003, IEEE Trans. Inf. Theory.

[9]  Oliver E. Drummond,et al.  Feedback in track fusion without process noise , 1995, Optics & Photonics.

[10]  Y. Bar-Shalom,et al.  Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[11]  R.J. Evans,et al.  Minimum Necessary Data Rates for Accurate Track Fusion , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

[12]  Gabriel Frenkel,et al.  Multisensor tracking of ballistic targets , 1995, Optics & Photonics.

[13]  Anna Freud,et al.  Design And Analysis Of Modern Tracking Systems , 2016 .

[14]  Efstratios Skafidas,et al.  Data fusion by optimal sensor switching , 1996, Proceeding of 1st Australian Data Fusion Symposium.