The scripts are used to implement the Gaussian Mixture Cardinalized Probability Hypothesis Density Filter. The algorithm utilized in the code and the tracking scenario follow the paper "Analytic Implementations of the Cardinalized Probability Hypothesis Density Filter" which is published on IEEE Transactions on Signal Proceesing Vol. 55 No. 7. The author are Ba-Ngu Vo and W. K. Ma.
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david (2024). Gaussian Mixture Cardinalized Probability Hypothesis Density Filter (https://www.mathworks.com/matlabcentral/fileexchange/46353-gaussian-mixture-cardinalized-probability-hypothesis-density-filter), MATLAB Central File Exchange. 检索时间: .
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1.0.0.0 |