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A novel low-complexity algorithm for linear MMSE MIMO receivers

: Kuhling, D.; Ibing, A.


Institute of Electrical and Electronics Engineers -IEEE-:
3rd International Symposium on Wireless Pervasive Computing 2008. Proceedings. Vol.2 : Santorini, Greece, 7 - 9 May 2008
Piscataway, NJ: IEEE, 2008
ISBN: 978-1-4244-1652-3 (Print)
ISBN: 978-1-4244-1653-0 (Online)
International Symposium on Wireless Pervasive Computing (ISWPC) <3, 2008, Santorini>
Fraunhofer HHI ()
equaliser; least mean squares methods; matrix algebra; mimo communication; receiver

Computation of MIMO equalization matrices is a critical and computationally intensive part of today's and future MIMO-OFDM receivers. We present a novel algorithm for computation of the MMSE MIMO equalizer matrix which, compared with the state of art, reduces the number of multiplications by 10% while also featuring innermost loops of a fixed length, allowing for unrolling and easy implementation in custom hardware or on vector processors.