Generic Distributed Target Tracking Algorithms in Sensor Networks with Finite Set Statistics

Lead Research Organisation: Heriot-Watt University
Department Name: Sch of Engineering and Physical Science

Abstract

This research programme will investigate and develop new distributed multi-target multi-source detection (DMMD) and tracking algorithms for sensor networks with constrained communication resources. Current approaches to DMMD have generalised distributed data fusion (DDF) algorithms by combining them with multiple hypothesis tracking (MHT) algorithms. However, the approximations inherent in MHT can lead to an unacceptable degradation in tracking performance. To overcome this difficulty, we propose to develop a new DMMD algorithm that builds upon Finite Set Statistics (FISST) and Exponential Mixture Densities (EMD). FISST provides a rigorous and numerical tractable model that unifies the problems of multi-object multi-sensor detection, classification and estimation. EMD is a suboptimal algorithm for fusing estimates when their marginal distributions are known but their joint distribution is not. It can be used to fuse estimates in fusion networks where the network topology is arbitrary, unknown and time varying.There will be two main outcomes from this research programme:First, we shall create an extremely general and generic mathematical framework within which a range of non-linear filtering algorithms can be deployed. Second, we shall develop implementations that, we believe, will show significant advantages over existing approaches in their ability to deal with high false alarm rates and data association ambiguity. We shall also strive for computational efficiency and practical applicability. The successful extension to distributed environments could have widespread applicability due to their simplicity to implement and low complexity.This programme is in response to the Detection requirement and Challenge Number 13 of the EPSRC-DSTL call: ``To develop general algorithms for distributed signal fusion in a network of sensors.''

Publications

10 25 50

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Delande E (2014) Regional Variance for Multi-Object Filtering in IEEE Transactions on Signal Processing

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Uney M (2013) Distributed Fusion of PHD Filters Via Exponential Mixture Densities in IEEE Journal of Selected Topics in Signal Processing

 
Description Methods were developed to fuse data from multiple sensors with different sensing characteristics for the purpose of surveillance.
Exploitation Route The methods developed can be used by governments and industry in the defence sector for surveillance of aerospace and maritime environments.
Sectors Agriculture, Food and Drink

 
Description The algorithms developed under this research programe have been deployed in commercial trials with BAE Systems to Dstl. These took place on the Isle of Wight on a sensor platform developed for maritime surveillance which integrated data from cameras and radar.
First Year Of Impact 2010
Sector Manufacturing, including Industrial Biotechology
Impact Types Policy & public services

 
Description BAE Systems
Amount £40,000 (GBP)
Funding ID CDE26145 : ISTAR UDRC 
Organisation BAE Systems 
Sector Academic/University
Country United Kingdom
Start 06/2012 
End 11/2012
 
Description BAE Systems
Amount £40,000 (GBP)
Funding ID CDE26145 : ISTAR UDRC 
Organisation BAE Systems 
Sector Academic/University
Country United Kingdom
Start  
 
Description Multi-passive sensor tracking
Amount £43,000 (GBP)
Organisation Defence Science & Technology Laboratory (DSTL) 
Sector Public
Country United Kingdom
Start  
 
Description Multi-passive sensor tracking
Amount £43,000 (GBP)
Organisation Defence Science & Technology Laboratory (DSTL) 
Sector Public
Country United Kingdom
Start  
 
Description Algorithm exploitation by SELEX GALILEO Ltd. 
Organisation Selex ES
Department SELEX Galileo Ltd
Country United Kingdom 
Sector Private 
PI Contribution The algorithms developed in this project have been developed for exploitation by SELEX GALILEO Ltd in Luton for their practical applications. Algorithm exploitation in industrial applications is crucial to ensure that the techniques developed are relevant and applicable to their applications.
Start Year 2009