1 February 1998 Decoupling probabilistic data association algorithm for multiplatform multisensor tracking
Author Affiliations +
Optical Engineering, 37(2), (1998). doi:10.1117/1.601630
In a multiplatform multisensor system, it is crucial to develop a practical algorithm under computation and communication constraints. A practical data association algorithm is presented. A decoupling probabilistic data association (DPDA) algorithm is proposed. The new algorithm decouples the joint probabilistic data association (JPDA) algorithm into separate PDA algorithms in a simple way because the complete decoupling PDA algorithm is too complex and loses its meaning for realtime use when there are more than three correlated targets. The algorithm is then extended to multiplatform multisensor tracking, where it is combined with a distributed algorithm. To evaluate a data association algorithm, the correct average probability (CAP) is used. The CAP is defined as the average probability of a true target measurement. Monte Carlo simulations demonstrate the effectiveness of the algorithm.
Zhen Ding, Lang Hong, "Decoupling probabilistic data association algorithm for multiplatform multisensor tracking," Optical Engineering 37(2), (1 February 1998). http://dx.doi.org/10.1117/1.601630

Detection and tracking algorithms

Personal digital assistants

Algorithm development


Monte Carlo methods

Optical engineering

Data communications

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