PROJECT TITLE :

State estimation with quantised innovations and communication channels

ABSTRACT:

This study considers the minimum mean-squared error (MMSE) state estimation for the discrete linear stochastic systems subject to both the quantisation and the communication unreliability. Based on the binary quantised innovation and a binary symmetric channel, the recursive MMSE estimator is established, and its performance is analysed. It's conjointly mentioned how the quantisation theme and also the communication uncertainty jointly affect the estimation quality. Consequently, the connected results are extended to the case of the time-invariant discrete memoryless channel. Numerical simulations are included to illustrate the most results obtained.