Recursive system identification algorithm using binary measurements

Abstract

The work presented in this paper focuses on the recursive identification of finite impulse response (FIR) systems with binary valued measurements. The main difficulty with such an identification is the low resolution of the available data on the output. It is first shown that this low resolution can be sufficient for the identification of the system. Then, the identification problem is formally posed as a bounded error identification problem, this allows the use of a simple recursive algorithm. Performance of the proposed algorithm are analyzed. Finally, simulation results are given to demonstrate the efficiency of the method.