Communication over a MIMO (multiple-inputmultiple- output) channel promises several advantages: increase in channel capacity, reduced transmit power, greater coverage, and improved link robustness. The minimum mean squared error equalizer (MMSE) is a potential algorithm in addressing the MIMO detection challenge. This paper presents four implementations for the computation of the MMSE equalizer coefficients. The studied options are: (1) a generalpurpose microprocessor (ARM926EJ-S), (2) a traditional general purpose DSP (RD16024), (3) an embedded vector processor (EVP16), and (4) a dedicated hardware solution. We show that, the equalizer requires acceleration for real-time processing. In order to obtain a low cost, flexible multistandard WLAN baseband implementation, EVP16 is the only feasible solution among the four studied.
|Title of host publication||Proceedings of the 2005 IEEE Workshop on Signal Processing Systems (SIPS'05, Athens, Greece, November 2-4, 2005)|
|Place of Publication||Piscataway NJ, USA|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2006|