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Content Provider | IEEE Xplore Digital Library |
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Author | Chih-Hao Liu Vaidyanathan, P.P. |
Copyright Year | 2009 |
Description | Author affiliation: Dept. of Electrical Engineering, MC 136-93, California Institute of Technology, Pasadena, 91125, USA (Chih-Hao Liu; Vaidyanathan, P.P.) |
Abstract | In this work, we consider the optimization of DFT modulated filterbank transceiver (DFT-FBT) over linear time varying (LTV) channels. The DFT-FBT is a generalization of the Affine Fourier transform based OFDM (Affine OFDM) and the chirped OFDM, which are suggested in recent literature for the transmission over LTV channels. For both known LTV channels and unknown wide sense stationary uncorrelated scattering (WSSUS) statistical channels, we show how to optimize the transmitting and receiving prototypes of DFT-FBT such that the signal to interference and noise ratio (SINR) at the receiver is maximized. After the optimization, the channel dependent part, like OFDM, is a set of scalar multipliers at the receiver end that adapts to the equivalent memoryless channel on a block basis. Simulation results show that the bit error rate (BER) performance of the optimized DFT-FBT over LTV channels is superior to the Affine OFDM. $^{1}$ |
Starting Page | 83 |
Ending Page | 87 |
File Size | 214017 |
Page Count | 5 |
File Format | |
ISBN | 9781424458257 |
ISSN | 10586393 |
e-ISBN | 9781424458271 |
DOI | 10.1109/ACSSC.2009.5470167 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2009-11-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Transceivers Signal to noise ratio Bit error rate Discrete Fourier transforms Chirp modulation OFDM modulation Filter bank Fourier transforms Scattering Prototypes wireless multicarrier systems OFDM Doubly-Selective channel chirped OFDM DFT FB Transceiver |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Computer Networks and Communications |
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