Title :
A novel low-complexity algorithm for linear MMSE MIMO receivers
Author :
Kuhling, David ; Ibing, Andreas
Author_Institution :
Heinrich-Hertz-Inst., Fraunhofer Inst. for Telecommun., Berlin
Abstract :
Computation of MIMO equalization matrices is a critical and computationally intensive part of todaypsilas 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.
Keywords :
MIMO communication; equalisers; least mean squares methods; matrix algebra; receivers; MIMO equalization matrices; custom hardware; linear MMSE MIMO receivers; low-complexity algorithm; vector processors; Art; Attenuation; Equalizers; Frequency; Hardware; MIMO; Mercury (metals); Receiving antennas; Telecommunication computing; Vector processors; Greville; MIMO; MMSE;
Conference_Titel :
Wireless Pervasive Computing, 2008. ISWPC 2008. 3rd International Symposium on
Conference_Location :
Santorini
Print_ISBN :
978-1-4244-1652-3
Electronic_ISBN :
978-1-4244-1653-0
DOI :
10.1109/ISWPC.2008.4556238