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Our aim is to illustrate the effectiveness of a tree network optimizer integrated with simple methods for data association.
Those methods for data association do not adequately account for quantitative and qualitative information in an automated fashion.
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Fuzzy clustering means (FCM) technique was proposed earlier as an efficient method for data association, but its cluster centers may fall to local minima.
GNN is a widely used method for data association and has the advantage of having a relatively low degree of complexity (see Table 4).
In the field of data-association, a range-to-range and a range-to-track association belong between classical methods of data association for range-only-measuring radars [7].
It uses Kalman filter for state estimation and particle filter for data association.
Fig. 10 Evaluation value for data association.
Several algorithms have been developed for data association, such as probabilistic data association (PDA) and joint probabilistic data association (JPDA) [11].
Also, we have compared the performance of the algorithm with several methods for the data association.
By incorporating the concept from [17] and from the ideas of the validation methods or data association for target tracking field in [19, 20], we may define a validation region V for a measured pixel as in Equation 13: V = { y k ( t ) : d k 2 ( t ) ≤ γ }, k = 1, 2,..., M N. (13).
These methods avoid the data association problem and provide the set-valued estimations of target states.
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