A cognitive radar target tracking algorithm is proposed for the tracking problem in complex battlefield environment.Based on the theory of human perception-action cycle

first

the Cramer-Rao lower bound (CRLB) of target radial distance

radial velocity and azimuth is approximated to the measurement error covariance.Then

the information entropy is used to describe the uncertainty of target tracking

and the connection between data processing in radar receiver and signal processing in radar transmitter is established with the criterion of minimum entropy.Furthermore

inspired by the three stage memory mechanism of human brain

memory is nested in Interacting Multiple Model (IMM) algorithm to overcome the tracking precision degradation problem when the model transition probability is set improperly.Thus

the transition probability can be adaptively adjusted to enhance the dominant model and weaken the bad competition of the mismatched model.The simulation results verify the effectiveness of the proposed algorithm.