2008
DOI: 10.1109/tcsi.2007.913732
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Low-Power VLSI Implementation of the Inner Receiver for OFDM-Based WLAN Systems

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Cited by 34 publications
(25 citation statements)
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“…In the design of frequency synchronizer, implementation of arctangent, sine and cosine functions is the most critical work since it decides the complexity of the synchronizer and the performance of the UWB receiver system. The traditional OFDM-based or CDMA-based systems usually employed classic coordinate rotation digital computer (CORDIC) algorithm for function evaluation (Tsai & Chiueh, 2007;Troya et al, 2008). Actually, there are other techniques for function evaluation, such as polynomial hyperfolding technique (PHT) (Caro et al, 2004), piecewise-polynomial approximation (PPA) technique (Caro & Steollo, 2005), hybrid CORDIC algorithm (Caro et al, 2009) and multipartite table method (MTM) (Caro et al, 2008).…”
Section: Implementation Of Frequency Synchronizermentioning
confidence: 99%
“…In the design of frequency synchronizer, implementation of arctangent, sine and cosine functions is the most critical work since it decides the complexity of the synchronizer and the performance of the UWB receiver system. The traditional OFDM-based or CDMA-based systems usually employed classic coordinate rotation digital computer (CORDIC) algorithm for function evaluation (Tsai & Chiueh, 2007;Troya et al, 2008). Actually, there are other techniques for function evaluation, such as polynomial hyperfolding technique (PHT) (Caro et al, 2004), piecewise-polynomial approximation (PPA) technique (Caro & Steollo, 2005), hybrid CORDIC algorithm (Caro et al, 2009) and multipartite table method (MTM) (Caro et al, 2008).…”
Section: Implementation Of Frequency Synchronizermentioning
confidence: 99%
“…Although numerous synchronization algorithms for OFDM and MIMO-OFDM have been investigated, auto-correlation based synchronization is the most promising method, since it can be commonly used for frame detection, symbol timing synchronization and CFO estimation with moderate hardware complexity [1][2][3][4][5]. Therefore, a hardware efficient auto-correlation scheme needs to be developed for the CFO estimation of MIMO-OFDM systems.…”
Section: Related Workmentioning
confidence: 99%
“…In OFDM system, the auto-correlation is used to calculate the phase difference between two successive training symbols to estimate CFO value [1][2][3][4][5]. For MIMO system, these auto-correlation values can be simply combined using a maximal-ratio combining (MRC) which provides better performance because of improved receiver diversity [1].…”
Section: Sample Reduction Technique and Analysis For Mimo-ofdm Based mentioning
confidence: 99%
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