Low-complexity MMSE receivers based on weighted matrix polynomials in frequency-selective MIMO systems

Dietl, Guido; Groh, Ingmar; Utschick, Wolfgang

doi:10.1109/isspa.2005.1581034

Cited by 1 publication

(1 citation statement)

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“…To overcome the need for matrix inversion the authors proposed in [16]- [19] an approximate MMSE equalizer employing a finite sum of weighted matrix polynomials that results from the Cayley-Hamilton theorem [20]. The coefficients are chosen to optimize some performance measure at the equalizer output.…”

Section: Introductionmentioning

confidence: 99%

MMSE turbo equalization using a low complexity series expansion to approximate the matrix inversion in frequency selective MIMO channels

Josse

Laot

Amis

2008

2008 5th International Symposium on Turbo Codes and Related Topics

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The paper describes a novel approach to overcome the need for matrix inversion required by Minimum Mean Square Error (MMSE) turbo equalization in MIMO systems. In particular, turbo MMSE equalization based on an efficient series expansion from a truncated Taylor series expansion to approximate the matrix inversion is addressed. By adjusting a scaling factor, the proposed series expansion is directly optimized according to a fixed order with respect to a system performance criterion for each source to be estimated. The proposed approach enables low complexity receiver without the need for a complicated eigenvalue calculation procedure. From the first order, the proposed series expansion ensures the best bit error rate performance with a simple non iterative receiver in comparison with previous approaches. Taking advantage of the iterative process, the resulting MMSE turbo equalizer reaches the matched filter bound.

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Section: Introductionmentioning

confidence: 99%