Super-exponential Methods Incorporated with Higher-Order Correlations for Deflationary Blind Equalization of MIMO Linear Systems

The multichannel blind deconvolution of finite-impulse response (FIR) or infinite-impulse response (IIR) systems is investigated using the multichannel super-exponential deflation methods. In the conventional multichannel super-exponential deflation method [4], the so-called “second-order correlation method” is incorporated in order to estimate the contributions of an extracted source signal to the channel outputs. We propose a new multichannel super-exponential deflation method using higher-order correlations instead of second-order correlations to reduce the computational complexity in terms of multiplications and to accelerate the performance of equalization. By computer simulations, it is shown that the method of using fourth-order correlations is better than the method of using second-order correlations in a noiseless case or a noisy case.

[1]  Ehud Weinstein,et al.  Super-exponential methods for blind deconvolution , 1993, IEEE Trans. Inf. Theory.

[2]  M. Martone Fast adaptive super-exponential multistage beamforming for cellular base-station transceivers with antenna arrays , 1997, GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record.

[3]  Massimiliano Martone An adaptive algorithm for antenna array low-rank processing in cellular TDMA base stations , 1998, IEEE Trans. Commun..

[4]  Sze Fong Yau,et al.  A cumulant-based super-exponential algorithm for blind deconvolution of multi-input multi-output systems , 1998, Signal Process..

[5]  M. Martone Fast adaptive super-exponential multistage beamforming for cellular base-station transceivers with antenna arrays , 1999 .

[6]  Yujiro Inouye,et al.  Super-exponential algorithms for multichannel blind deconvolution , 2000, IEEE Trans. Signal Process..

[7]  Y. Inouye,et al.  A system-theoretic foundation for blind equalization of an FIR MIMO channel system , 2002 .

[8]  Yujiro Inoue,et al.  Special Section on Blind Signal Processing : Independent Component Analysis and Signal Separation , 2003 .

[9]  Tetsuya Okamoto,et al.  Adaptive super-exponential algorithms for blind deconvolution of MIMO systems , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[10]  Mitsuru Kawamoto,et al.  Robust Super-exponential methods for deflationary blind source separation of instantaneous mixtures , 2005, IEEE Transactions on Signal Processing.