16 April 2008 Tracking with poorly localized sensors in multistatic sensor networks
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In this paper, we consider the tracking of multiple targets in the presence of clutter with poorly localized sensors in multistatic sensor networks. In multistatic sensor networks, we have a few active sensors that emit the signals and many passive sensors that receive the signals originated from the active sensors and reflected by the targets and clutter. In anti-submarine warfare, sensors are typically deployed from aircraft. Optimal tracking performance can be achieved if all the sensor locations are known. However, in general, sensor deployment accuracy is poor, and sensors can also drift significantly over time. Hence, the location uncertainties will increase with time. If the sensors have global position system (GPS) receiver, then their locations can be located with reasonable accuracy. However, most of the cheap sensors do not have a GPS, and therefor, location uncertainties must be taken in to consideration while tracking. An advantage of multistatic sensors compared to independent monostatic sensors is that the sensors can also be tracked accurately. In this paper, we propose how to improve the tracking performance of multiple targets by incorporating sensor uncertainties. We obtain a bound on the tracking performance with location uncertainties being taken into consideration, and propose a technique to select a subset of sensors (if only a few of the available sensors can be used at any measurement time) that should be used at each time step based on the bound. Simulation results illustrating the performance of the proposed algorithms are also presented.
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R. Tharmarasa, T. Lang, and T. Kirubarajan "Tracking with poorly localized sensors in multistatic sensor networks", Proc. SPIE 6969, Signal and Data Processing of Small Targets 2008, 69690P (16 April 2008); doi: 10.1117/12.779232; https://doi.org/10.1117/12.779232

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