In a surveillance situation the origin of each measurement is uncertain. Each measurement may be a false (clutter) measurement, or it may be a target detection. Probabilistic methods are usually used to discriminate between the clutter and the target measurements. Clutter measurement density is an important parameter in this process. The values of the clutter measurement density in the surveillance space are rarely known a priori, and are usually estimated using sensor data and track information. A novel approach is presented and evaluated for estimating the values of clutter measurement density, which significantly enhances target tracking. Simulation results validate this approach.
Adaptive Clutter Measurement Density Estimation for Improved Target Tracking
IEEE Transactions on Aerospace and Electronic Systems ; 47 , 2 ; 1457-1466
2011-04-01
797428 byte
Article (Journal)
Electronic Resource
English
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