Logarithmic quantized kalman filter and parameter selection

Quantized filtering is one of the most important methods in networked information processing. The key problems of quantized filtering research are the quantization mode and the parameter selection strategies. Take the logarithmic quantization strategy as data transmission mode, this paper put forward a new quantized Kalman filter algorithm based on measured value, and two kinds of quantizer parameters selection strategy on the basis of which are proposed, and the value of optimal parameters are given at the same time. The simulation according to Matlab at last shows the effectiveness of the main results of optimal parameters selection in this paper.