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https://hdl.handle.net/2440/76864
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DC Field | Value | Language |
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dc.contributor.author | Sathyan, Thuraiappah | en |
dc.contributor.author | Sinha, A. | en |
dc.contributor.author | Mallick, M. | en |
dc.date.issued | 2010 | en |
dc.identifier.citation | Proceedings of the 13th International Conference on Information Fusion (Fusion 2010): pp.1-8 | en |
dc.identifier.isbn | 9780982443811 | en |
dc.identifier.uri | http://hdl.handle.net/2440/76864 | - |
dc.description.abstract | Bearings-only tracking (BOT) using a single maneuvering platform has been studied extensively in the past. However, only a few studies exist in the open literature that deal with measurement origin uncertainty. Most publications are concerned with finding the best filtering approach, since BOT is inherently nonlinear, or finding the optimal maneuver strategy for the sensor platform to improve observability. We consider measurement origin uncertainty due to the existence of multiple targets in the surveillance region, non-unity detection probability, and false alarms. Our algorithm uses the multiframe assignment (MFA) to solve the data association problem, and filtering is performed using the unscented Kalman filter (UKF). We employ both the modified and log polar coordinate systems. Simulation results show that the proposed algorithm is very effective in terms of tracking accuracy and track maintenance capability, especially when formulated in the log polar coordinate system. | en |
dc.description.statementofresponsibility | T. Sathyan, A. Sinha, M. Mallick | en |
dc.language.iso | en | en |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en |
dc.rights | Copyright status unknown | en |
dc.source.uri | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=5711836& | en |
dc.subject | Bearings-only tracking; multiframe assignment; data association; unscented Kalman filter; modified polar coordinates; log polar coordinates. | en |
dc.title | A multiframe assignment algorithm for single sensor bearings-only tracking | en |
dc.type | Conference paper | en |
dc.contributor.school | School of Computer Science | en |
dc.contributor.conference | International Conference on Information Fusion (13th : 2010 : Edinburgh, United Kingdom) | en |
dc.contributor.conference | FUSION '10 | en |
Appears in Collections: | Computer Science publications |
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