A novel method to design adaptive correlating gate is proposed to solve the problem that the traditional correlating gate design method is easy to cause tracking loss when it is applied in the case of tracking a maneuvering target. The correlating gate is designed based on the comprehensive IMM-PDA algorithm. If there are no validated measurements in the correlating gate
the covariance of model errors with maximal maneuvering level is used to appropriatlely enlarge the gate to guarantee validated measurements existing in the gate. Then it is assumed that the target maneuvering ability is known
and the information of measurements is used to find the optimal gate centre among the predictive range of target motion in the sense of minimizing the mean square error. Since the method fundamentally improves the association probability
the tracking loss probability is decreased and the tracking accuracy is improved. Simulation results and comparisons with the traditional correlating gate design methods show that the tracking loss probability of the proposed method is reduced by 30%-40% and the maneuvering tracking accuracy is improved by 20%-30%. The effectiveness of the proposed method is also verified by the raw radar data.
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