We study a problem in real-time target tracking by means of a one-dimensional ''random'' Kalman᎐Bucy filter. The tracking device has constrained processing Ž . power and hence has to choose 1 a subregion to be observed out of a larger Ž . region in which the target motion takes place and 2 a finite
Real-Time Target Tracking: Optimal Determination of the Characteristics, Using Martingale Tool
✍ Scribed by Robert Bauer; Bernard Beauzamy; Christian Olivier
- Publisher
- Elsevier Science
- Year
- 1996
- Tongue
- English
- Weight
- 120 KB
- Volume
- 203
- Category
- Article
- ISSN
- 0022-247X
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✦ Synopsis
We study the problem of real-time target tracking: How do we use all the previous observations in order to get, at a given time, the best knowledge of the position of the target? A realistic approach is to take into account the processing time for each observation, and if the precision on the position is low, the Ž processing will take longer. As was shown by C. Olivier Real-time observability of . targets with constrained processing power, to appear , the tracking is efficient when Ž . some affine random walk characterizing the precision of the tracking is almost surely bounded. Using martingale techniques, we show that this is the case under Ž . proper and realistic conditions on the parameters.
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