Super-exponential methods incorporated with higher-order correlations for deflationary blind equalization of MIMO linear systems

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Abstract

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. © Springer-Verlag 2004.

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Kohno, K., Inouye, Y., & Kawamoto, M. (2004). Super-exponential methods incorporated with higher-order correlations for deflationary blind equalization of MIMO linear systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 685–693. https://doi.org/10.1007/978-3-540-30110-3_87

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