Sensor assignment method based on time-varying measurement variance for tracking multi-targets

An optimal sensor assignment method based on time-varying measurement variance for tracking multi-targets is presented. It gets the time-varying measurement variance by converted measuring coordinates and estimates the covariance with the converted measurement Kalman filtering algorithm. The sensor assignment problem with maximizing the information gain for tracking multi-targets is developed. Then an improved Hungarian algorithm is proposed to allocate sensor resources optimally. Finally, the simulation results show that the algorithm can meet the tracking accuracy requirements.