DocumentCode :
3019580
Title :
Sliding window integrator approximations for multichannel autocorrelation UWB receivers
Author :
Pedross, Andreas ; Witrisal, Klaus
Author_Institution :
Graz Univ. of Technol., Graz, Austria
fYear :
2012
fDate :
20-23 May 2012
Firstpage :
2537
Lastpage :
2540
Abstract :
Noncoherent UWB receivers promise low power consumption and low processing complexity but their peak data rate is limited by the delay spread of the multipath radio channel. A recently proposed multichannel autocorrelation receiver (AcR) can break this rate limit because it can demodulate multicarrier signals. The hardware implementation of this receiver architecture is addressed in this paper. We focus on the integration device, which is part of the AcR and essential to suppress nonlinear cross-products between data carriers. Passive filter structures are analyzed for this purpose. It is shown that the optimized filter outperforms the reference system using an ideal sliding window integrator because it is able to mitigate more system noise.
Keywords :
approximation theory; correlation methods; integrating circuits; low-power electronics; multipath channels; passive filters; radio receivers; ultra wideband technology; data carriers; delay spread; hardware implementation; ideal sliding window integrator; integration device; low power consumption; low processing complexity; multicarrier signals; multichannel autocorrelation UWB receivers; multipath radio channel; noncoherent UWB receivers; nonlinear cross-products; optimized filter; passive filter structures; peak data rate; rate limit; receiver architecture; reference system; sliding window integrator approximations; system noise; Approximation methods; Correlation; Delay; Noise; OFDM; Receivers; Ultra wideband technology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2012 IEEE International Symposium on
Conference_Location :
Seoul
ISSN :
0271-4302
Print_ISBN :
978-1-4673-0218-0
Type :
conf
DOI :
10.1109/ISCAS.2012.6271820
Filename :
6271820
Link To Document :
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