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A multi-delay whitening approach to blind identification and equalization of SIMO channels

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1 Author(s)
J. K. Tugnait ; Dept. of Electr. Eng., Auburn Univ., AL, USA

Blind channel estimation and blind equalization of SIMO (single-input multiple-output) communication channels is considered using only the second-order statistics of the data. Estimation of (partial) channel impulse response and design of finite-length MMSE (minimum mean-square error) blind equalizers is investigated. The basis of the approach is the design of multiple zero-forcing equalizers that whiten the noise-free data at multiple delays. In the past such an approach has been considered using just one zero-forcing equalizer at zero-delay. Infinite impulse response (IIR) channels are allowed. The proposed approach also works when the “sub-channel” transfer functions have common zeros so long as the common zeros are minimum-phase zeros. The channel length or model orders need not be known. An illustrative simulation example is provided

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Signal Processing Advances in Wireless Communications, 1999. SPAWC '99. 1999 2nd IEEE Workshop on

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