Naidu, VPS and Girija, G and Raol, JR (2005) Data association and fusion algorithms for13; tracking in presence of measurement loss. IE(I) journal-AS, 86 . pp. 17-28.
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Abstract
Tracking in multi-sensor multi-amp;at@ (MSMT) scenario is a complex and difficult task due to the uncertainties in origin of observations. This requires appropriate gating and data association procedures to associate measurements with target. A PC MATlAB program, based on track-oriented approach, is evaluated which uses Nearest Neigbbour Kalman Filter (NNKF) and Probabilistic Data Association Filter (PDAF)for tracking multiple targets from data amp; multiple sensors. For track-to-track fusion state vector fusion philosophy is employed. The tracking performance in presence of simulated track/data loss and recovery as well as clutter is evaluated. During the data loss , the PDAF performed better than the the NKAF. In the presence of mild clutter and spare target scenarios, the NNKF and the PDAF give similar performance.
| Item Type: | Journal Article |
|---|---|
| Uncontrolled Keywords: | Fusion algorithm;Measurement loss;Uncertainty measurement;Track management |
| Subjects: | MATHEMATICAL AND COMPUTER SCIENCES > Statistics and Probability |
| Division/Department: | Flight Mechanics and Control Division, Flight Mechanics and Control Division, Flight Mechanics and Control Division |
| Depositing User: | M/S ICAST NAL |
| Date Deposited: | 19 Feb 2008 |
| Last Modified: | 17 Jun 2010 10:25 |
| URI: | http://nal-ir.nal.res.in/id/eprint/4608 |
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