A method of multi-radar and multi-target path tracking based on fuzzy min-max neural network is proposed, which combines an improved fuzzy min-max artificial neural network algorithm proposed in the article and the unsupervised general fuzzy min-max artificial neural network clustering.

A method of multi-radar and multi-target path tracking based on fuzzy min-max neural network is proposed in this paper.

Using moving window detectors, this paper analyses the drawbacks of current technique specifications used in multiradar tracking initation and termination systems, introduces new technique specifications,gives the definitions of optimal tracking initiation, suboptimal tracking initiation, and tracking termination, and provides the fundamental of designing tracking-quality-managemement systems.

Method for radar target tracking based on sequential unscented Kalman filter

Extended Kalman Filter(EKF) and converted measurement Kalman Filter(CMKF) have been widely used in radar target tracking.

The three-dimensional CMKF-D with only position measurements is extended to solve the radar target tracking problem with Doppler measurements, where the errors between range and Doppler measurements are correlated.