Target tracking with quantized communication

In the paper, we address the problem of target tracking with quantized communication. While the probabilistic distribution function of the measurement is unknown, in order to simplify the calculations of target tracking system and improve the accuracy of estimation, we propose a Kalman filter under uniformly probabilistic quantization, and analyze the performance of the probabilistic quantization Kalman filter. Simulations results are provided to verify the performance of the target tracking system under uniformly probabilistic quantization.