Parameter estimation of linear dynamic systems with uncertain observations

Linear dynamic systems with multiplicative noise are studied. By using an amplified law of large numbers convergence almost surely of least square estimates is proved.
A modified least square algorithm and algorithms for determining the parameters in the Bernulli distribution are proposed. Results of numerical experiments are given.