Target tracking in clutter using a high pulse repetition frequency radar


We have a tendency to investigate two solutions for single target tracking in muddle using a high pulse repetition frequency (HPRF) radar. With the HPRF radar, every ambiguous vary measurement corresponds to a group of unambiguous vary measurements. Each algorithms enable false track discrimination (FTD) using the probability of target existence. One approach adapts the Gaussian mixture measurement chance-integrated track splitting to the matter, where every measurement probability is approximated by a Gaussian mixture. The other approach is an integration of previously revealed multiple models approach with the likelihood of target existence paradigm. Here every model may be a separate probabilistic knowledge association filter. In both cases the track trajectory probability density perform is a Gaussian mixture.

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