Two Identification Algorithms for State Space Modeling from Binary Output Measurements

Two identification algorithms for state space modeling from binary output measurements are presented in this paper. The first algorithm is based on the estimation of a high order FIR model used to recover the high resolution output signal. The second algorithm is based on an iterative scheme allowing the construction of state sequence and then the recovering of the high resolution output signal. Implementation conditions are discussed and illustrated. Algorithms are shown to be efficient by numerical simulations.