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In this position paper, we investigate the use of wireless sensor network (WSN) technology for ground surveillance. The goal of our project is to develop a prototype of WSN for outdoor deployment. We aim to design a system, which can detect and classify multiple targets (e.g., vehicles and troop movements), using inexpensive off-the-shelf wireless sensor(More)
— A typical sensor data processing sequence uses a detection algorithm prior to tracking to extract point-measurements from the observed sensor data. Track-Before-Detect (TkBD) is a paradigm which combines target detection and estimation by removing the detection algorithm and supplying the sensor data directly to the tracker. Various different approaches(More)
Target detection and tracking is a well-established area of research. However, a majority of proposed solutions in existing literature rely on expensive and specialized sensors, which often have limited coverage. Using low cost sensor nodes is an attractive and complementary approach to scalable target detection and tracking applications. However, tracking(More)
Track-before-detect is a powerful technique for detection and tracking of targets with low signal-to-noise ratio. This paper presents a performance comparison of two particle filters recently proposed for this application using several different particle proposal densities designed for track initiation. The first particle filter is a standard SIR particle(More)
– Standard target state estimation schemes typically use detections as their source of measurements, which are produced by thresholding the output of a sensor's signal processing stage. This work exploits a track-before-detect (TBD) technique, which simultaneously detects and tracks a target without needing to threshold the sensor data. By removing the need(More)
In this paper, we present a comprehensive analysis of the performance of a wireless sensor network based target tracking system using the Particle Filter. In particular, we evaluate the effect ofvarious network design parameters such as the number ofnodes, number ofgenerated particles, and sampling interval on the tracking accuracy and computation time of(More)
Over-the-horizon radar (OTHR) and microwave radar networks can together generate track data over a wide surveillance region. However the data is often subject to ambiguity and uncertainty due to the complexities of the HF signal propagation environment, which give rise to multipath OTHR tracks, as well as ambiguities in target associations between multiple(More)
This is a pre-publication draft of a book to be published by Springer-Verlag. The final version is subject to minor typographical changes. Foreword Uncertainty is all pervasive–whether it relates to everyday personal choices and actions, or as background to business and policy decisions, or economic and climate predictions. In recent times, few things have(More)