Abstract:

Due to bandwidth and energy constraints of the passive radar network, the system may not be able to use measurements from all receivers and hence it is necessary to make receiver selection. Based on the multi-target multi-Bernoulli filter, a novel adaptive method for selecting receivers is proposed. First, the probability density function (PDF) of the target is predicted. Then, the ideal measurements for each receiver are estimated and used to update the predicted PDF. To measure the update quality of each receiver, the expected a posteriori estimate of the target number and its variance are used as the goal functions. Finally, the best receiver is selected using the proposed goal functions. Simulation results demonstrate more accurate tracking performances of the proposed method over others in tracking multiple targets via Doppler-shift measurements.