A multirate digital controller for model matching
Automatica (Journal of IFAC)
A subspace method for the computation of the GCD of polynomials
Automatica (Journal of IFAC)
Signal Processing and Optimization for Transceiver Systems
Signal Processing and Optimization for Transceiver Systems
Adaptive identification of nonminimum phase ARMA models usinghigher order cumulants alone
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Blind system identification and channel equalization of IIR systemswithout statistical information
IEEE Transactions on Signal Processing
Blind channel identification with colored sources by exploiting properties of companion matrices
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Blind equalization of SIMO FIR channels driven by colored signals with unknown statistics
IEEE Transactions on Signal Processing - Part I
Technical Communique: Blind identifiability of IIR systems
Automatica (Journal of IFAC)
Blind identification and equalization based on second-order statistics: a time domain approach
IEEE Transactions on Information Theory
| Hi-index | 22.14 |
This paper presents a second-order statistics based method for blind identification of non-minimum phase single-input-single-output (SISO) auto-regression moving-average (ARMA) systems. By holding the system input while sampling the system output at the normal rate, the SISO system is transformed into an equivalent single-input-multi-output (SIMO) ARMA model. Theoretical analysis is conducted to exploit the system auto-regressive information contained in the autocorrelation matrices of the over-sampled output and to derive expressions for constructive estimation of the ARMA system parameters. The developed systematic identification method has flexibility in choosing the over-sampling rate which can be as low as two. The effectiveness of the proposed method is demonstrated by simulation results.