Digital signal processing (3rd ed.): principles, algorithms, and applications
Digital signal processing (3rd ed.): principles, algorithms, and applications
Two-Channel Blind Deconvolution for Non-Minimum Phase Impulse Responses
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
SPWHOS '97 Proceedings of the 1997 IEEE Signal Processing Workshop on Higher-Order Statistics (SPW-HOS '97)
Blind wideband source separation
ICASSP '94 Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04
Blind identification of colored signals distorted by FIR channels
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
Joint anti-diagonalization for blind source separation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
A subspace approach to blind multiuser detection for ultra-wideband communication systems
EURASIP Journal on Applied Signal Processing
A new class of invertible FIR filters for spectral shaping
Signal Processing
A sequential subspace method for blind identification of general FIR MIMO channels
IEEE Transactions on Signal Processing - Part I
An unbiased equation error identifier and reduced-orderapproximations
IEEE Transactions on Signal Processing
Blind identification of multichannel FIR systems based on linearprediction
IEEE Transactions on Signal Processing
Blind identification of multipath channels: a parametric subspaceapproach
IEEE Transactions on Signal Processing
A blind source separation technique using second-order statistics
IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters
IEEE Transactions on Signal Processing
Spectral smoothing and recursion based on the nonstationarity ofthe autocorrelation function
IEEE Transactions on Signal Processing
Joint order detection and blind channel estimation by least squaressmoothing
IEEE Transactions on Signal Processing
Blind channel estimation using the second-order statistics: asymptotic performance and limitations
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On subspace methods for blind identification of single-inputmultiple-output FIR systems
IEEE Transactions on Signal Processing
Blind identification of multi-input multi-output system usingminimum noise subspace
IEEE Transactions on Signal Processing
Subspace-based blind channel estimation: generalization and performance analysis
IEEE Transactions on Signal Processing
Prediction error method for second-order blind identification
IEEE Transactions on Signal Processing
Blind channel approximation: effective channel order determination
IEEE Transactions on Signal Processing
Blind Source Separation in the Time-Frequency Domain Based on Multiple Hypothesis Testing
IEEE Transactions on Signal Processing
A blind multichannel identification algorithm robust to orderoverestimation
IEEE Transactions on Signal Processing
Blind multiuser detection: from MOE to subspace methods
IEEE Transactions on Signal Processing
Subspace projection based blind channel order estimation of MIMO systems
IEEE Transactions on Signal Processing
Blind source separation based on time-frequency signalrepresentations
IEEE Transactions on Signal Processing
POR-based channel estimation for UWB communications
IEEE Transactions on Wireless Communications
A subspace algorithm for certain blind identification problems
IEEE Transactions on Information Theory
Blind identification and equalization based on second-order statistics: a time domain approach
IEEE Transactions on Information Theory
A new class of invertible FIR filters for spectral shaping
Signal Processing
A new single-mixture source separation method
International Journal of Computer Applications in Technology
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In commonly used SOS-based methods for blind identification of single input multiple output (SIMO) systems, such as subspace (SS) and least squares (LS), the highest order of unknown FIR channels is assumed to be known or is overestimated. In this paper we propose a new method based on modified Levinson algorithm (MLA) that makes no such assumptions. This method determines which FIR channel is minimum-phase, and estimates every channel impulse response with correct order when at least one of the unknown FIR channels is invertible. We first develop a MLA-based method for estimating a LTI SISO stable IIR system of correct orders when the input is an arbitrary stationary signal. We then use the results of such method and propose a solution to the SIMO blind system identification problem when orders of FIR channels are unknown. Performance of the proposed method is compared with those of the SS and power of R (POR) methods using different signal to noise ratio.