Adaptive filter theory (3rd ed.)
Adaptive filter theory (3rd ed.)
IEEE Transactions on Signal Processing - Part II
New fast QR decomposition least squares adaptive algorithms
IEEE Transactions on Signal Processing
Multi-input multi-output fading channel tracking and equalizationusing Kalman estimation
IEEE Transactions on Signal Processing
Adaptive MIMO decision feedback equalization for receivers with time-varying channels
IEEE Transactions on Signal Processing
The finite-length multi-input multi-output MMSE-DFE
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Linear MIMO equalization for CDMA downlink signals with code reuse
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
Adaptive conjugate gradient DFEs for wideband MIMO systems
IEEE Transactions on Signal Processing
Adaptive BLAST-type decision-feedback equalizers for DS-CDMA systems
Signal Processing
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Adaptive equalization of wireless systems operating over time-varying and frequency-selective multiple-input multiple-output (MIMO) channels is considered. A novel equalization structure is proposed, which comprises a cascade of decision feedback equalizer (DFE) stages, each one detecting a single stream. The equalizer filters, as well as the ordering by which the streams are extracted, are updated based on the minimization of a set of least squares (LS) cost functions in a BLAST-like fashion. To ensure numerically robust performance of the proposed algorithm, Cholesky factorization of the equalizer input autocorrelation matrix is applied. Moreover, after showing that the equalization problem possesses an order recursive structure, a computationally efficient scheme is developed. A variation of the method is also described, which is appropriate for slow time-varying conditions. Theoretical analysis of the equalization problem reveals an inherent numerical deficiency, thus justifying our choice of employing a numerically robust algebraic transformation. The performance of the proposed method in terms of convergence, tracking, and bit eror rate (BER) is evaluated through extensive computer simulations for time-varying and wideband channels.