Distributed Target Tracking with Propagation Delayed Measurements

This paper presents a framework for making distributed target tracking under significant signal propagation delays between the target and the sensors. Each sensor considered makes estimation using its own measurements compensating for the involved signal propagation delay using a deterministic sampling based algorithm proposed previously. Since the individual sensor readings might not be enough to localize the target, the sensors have to share their estimates with each other at specific time instants and correct their individual estimates. This work is mainly related to how this estimate correction and fusion should be carried out. An internal covariance approximation which keeps consistency but at the same time bypasses the track correlation problem is proposed. The results are illustrated on a challenging two-sensor bearings-only tracking scenario.


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In this paper, we investigate the multisensor target tracking problem in environments where the signal propagation delays between the target and the sensors are not negligible. Based on a previously proposed efficient method to solve the implicit equations imposed by the target motion model and the physics rules governing the signal propagation delays, a particle filter is developed to perform multisensor target tracking while compensating for the propagation delays. As opposed to the existing approach in t...
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Citation Formats
U. Orguner, “Distributed Target Tracking with Propagation Delayed Measurements,” 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53325.