A Parameter and Time Delays Estimation Algorithm for MISO FIR-ARMA Systems

For multiple-input single-output finite impulse response auto-regressive moving average systems with unknown time-delay, based on auxiliary model identification idea, and by combining the orthogonal matching pursuit algorithm, an orthogonal matching pursuit iterative algorithm was presented. The presented identification algorithm can estimate time-delay and parameters at one time of the multiple-input single-output finite impulse response auto-regressive moving average systems with limited sampled data. The proposed algorithm can reduce the measuring cost and improve the estimation efficiency since it requires a small amount of data compared with other identification algorithm such as the least square algorithm. A simulation example was provided to show the proposed algorithm can effectively identify the time-delay and unknown parameters of such systems.