Data association based on target signal classification information |
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Authors: | Guo Lei Tang Bin Liu Gang |
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Affiliation: | 1. School of Physical Electronic, Univ. Of Electronic Science and Technology of China, Chengdu 610054, P. R. China;National Key Lab of Information Integrated Control, Chengdu 610036, P. R. China 2. School of Physical Electronic, Univ. of Electronic Science and Technology of China, Chengdu 610054, P. R. China Received 2006-9-25 3. National Key Lab of Information Integrated Control, Chengdu 610036, P. R. China |
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Abstract: | In most of the passive tracking systems, only the target kinematical information is used in the measurement-to-track association, which results in error tracking in a multitarget environment, where the tar-gets are too close to each other. To enhance the tracking accuracy, the target signal classification information (TSCI) should be used to improve the data association. The TSCI is integrated in the data association process using the JPDA (joint probabilistie data association). The use of the TSCI in the data association can improve discrimination by yielding a purer track and preserving continuity. To verify the validity of the application of TSCI,two simulation experiments are done on an air target-tracing problem, that is, one using the TSCI and the other not using the TSCI. The final comparison shows that the use of the TSCI can effectively improve tracking accuracy. |
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Keywords: | passive tracking joint probabilistic data association target signal classification information. |
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