Multi-sensor management: Optimal allocation of tracking resources for Pd < 1 based on the interacting multiple model modified kalman filter
Tong Jun, Ganlin Shan · 2011
This paper presents a novel sensor selection algorithm for optimal allocation of target tracking resources, based on the interacting multiple model modified kalman filter. The algorithm can be easily calculated and it is possible to include sensors with a probability of detection pd<1. The sensor selection measure function is the minimum trace of covariance matrix. The performance of the sensor selection algorithm is studied for single sensor and sensor collocation. And simulation shows the method is effective and feasible.