MMSE Subcarrier Equalization for Filter Bank Based Multicarrier Systems
authors:
Waldhauser, D.S.; Baltar, L.G.; Nossek, J.A.
congress title:
Signal Processing Advances in Wireless Communications, 2008. SPAWC 2008. IEEE 9th Workshop on
year:
2008
abstract:
Filter bank based multicarrier systems (FBMC) offer a number of
benefits over conventional orthogonal frequency division multiplexing
(OFDM) with cyclic prefix (CP). One benefit is the improved
spectral efficiency by not using a redundant CP and by having much
better control of out-of-band emission. Another advantage is the
ease of accomodating multiple users in an FDMA fashion especially
in the uplink, i. e. the multiple access channel (MAC). On the other
hand, more elaborate equalization concepts are needed compared to the single-tap per-subcarrier equalizer sufficient in the OFDM with
CP case.
In this contribution we will present an efficient linear minimum
mean square error (MMSE) equalization concept. Since FBMC systems employ Offset-Quadrature-Amplitude-Modulation (OQAM), a
fractionally spaced per-subcarrier equalizer will be derived, which
takes into account the inter-subcarrier interference due to frequency
selective multipath fading. Still this is handled with decoupled persubcarrier equalizers. Simulation results will show that OQAMFBMCs allow for savings in transmit power which have to be paid with a practicable amount of computational overhead. «
Filter bank based multicarrier systems (FBMC) offer a number of
benefits over conventional orthogonal frequency division multiplexing
(OFDM) with cyclic prefix (CP). One benefit is the improved
spectral efficiency by not using a redundant CP and by having much
better control of out-of-band emission. Another advantage is the
ease of accomodating multiple users in an FDMA fashion especially
in the uplink, i. e. the multiple access channel (MAC). On the other
hand, more elaborate equalizatio... »
language:
en
TUM-institution:
Lehrstuhl fuer Netzwerktheorie und Signalverarbeitung; Institute for Circuit Theory and Signal Processing