Title :
A Truncated SVD approach for fixed complexity spectrally efficient FDM receivers
Author :
Isam, Safa ; Kanaras, Ioannis ; Darwazeh, Izzat
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. Coll. London, London, UK
Abstract :
Spectrally Efficient Frequency Division Multiplexing (SEFDM) systems aim to reduce the utilized spectrum by multiplexing non-orthogonal overlapped carriers. Since the per carrier transmission rate is maintained, SEFDM yields higher spectral efficiency relative to an equivalent Orthogonal Frequency Division Multiplexing (OFDM) system. Yet, due to the loss of the orthogonality, detection of the SEFDM system requires overly complex detectors. In this work, new SEFDM receivers that offer substantial complexity reduction with a competitive Bit Error Rate (BER) performance are presented. The Truncated Singular Value Decomposition (TSVD) is proposed as an efficient tool to overcome the ill conditioning of the system caused by the orthogonality collapse. The performance of the system with respect to the system size and spectrum saving is examined by extensive numerical simulations. It is shown that the TSVD detector outperforms linear detectors such as Zero Forcing (ZF) and Minimum Mean Squared Error (MMSE) detectors in terms of BER. Furthermore, a combination of TSVD with the Fixed Sphere Decoder (FSD) algorithm is proposed and tested for the first time. This novel FSD-TSVD receiver achieves near -optimum performance in terms of BER with a fixed and reduced complexity for systems with bandwidth savings of up to 40%.
Keywords :
OFDM modulation; error statistics; least mean squares methods; radio receivers; singular value decomposition; BER performance; FSD-TSVD receiver; MMSE detectors; OFDM system; bit error rate performance; complex detectors; fixed complexity SEFDM receivers; fixed sphere decoder algorithm; linear detectors; minimum mean squared error detectors; nonorthogonal overlapped carriers; numerical simulations; orthogonal frequency division multiplexing system; truncated singular value decomposition; zero forcing; Bit error rate; Complexity theory; Decoding; Detectors; Indexes; OFDM; Receivers; OFDM; SEFDM; spectral efficiency; sphere decoder; truncated singular value decomposition;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2011 IEEE
Conference_Location :
Cancun, Quintana Roo
Print_ISBN :
978-1-61284-255-4
DOI :
10.1109/WCNC.2011.5779400