Title :
A Universal Systolic Array for Linear MIMO Detections
Author :
Wang, Jingming ; Daneshrad, Babak
Author_Institution :
Augusta Technol., USA, Inc., Santa Clara
fDate :
March 31 2008-April 3 2008
Abstract :
The detection of MIMO signals presents a formidable computation challenge due to the inherent complexity incurred by matrix-type wireless fading channels. To reduce the hardware cost, linear MIMO detection algorithms can be used instead of non-linear space-time processing. Conventionally, adaptive linear algorithms such as RLS and LMS are treated separately in implementation from matrix inversion based algorithms such as ZF and MMSE. In this paper, we identify the similarities between the QR-decomposition based forms of RLS and MMSE MIMO detection and present a unified systolic array implementation that can accommodate both. In the meanwhile, some subtle but important differences also exist. As a result, the unified array must have a size of Nr x Nr (assuming Nt les Nr) and both array inputs and array operations need to be controlled accordingly. As special cases of RLS and MMSE, LMS and ZF can also be realized in the same array, making the array flexible enough for all linear MIMO detection algorithms.
Keywords :
MIMO communication; array signal processing; fading channels; least mean squares methods; matrix decomposition; matrix inversion; signal detection; systolic arrays; MMSE MIMO detection; QR-decomposition; adaptive linear algorithm; least mean squares methods; linear MIMO signal detection; matrix inversion; matrix-type wireless fading channel; recursive least square method; universal systolic array; Costs; Detection algorithms; Fading; Hardware; Least squares approximation; MIMO; Resonance light scattering; Signal detection; Size control; Systolic arrays;
Conference_Titel :
Wireless Communications and Networking Conference, 2008. WCNC 2008. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-1997-5
DOI :
10.1109/WCNC.2008.31