The idea of strong tracking in improving the fading factor is introduced into the simplified square root cubature Kalman filter,the multi-Bernoulli algorithm with the best hypothesis determined by the new autocorrelation matrix and Murty algorithm,and an IST-RSCKF-MB algorithm of radar multi-target tracking is thus developed to address the issue of the computationally intensive calculation of multi-target tracking(MTT).Simulation results show that the proposed algorithm guarantees better efficiency and precision than those by the multi-Bernoulli algorithm based on square root Cubature Kalman,the multi-Bernoulli mixture algorithm based on improved strong tracking square root Cubature Kalman,the multi-Bernoulli algorithm based on Unscented Kalman filter and Extended Kalman filter respectively.It is a good solution to the implementation of embedded target tracking algorithm.
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