Sliding window integrator approximations for multichannel autocorrelation UWB receivers

Pedross, Andreas; Witrisal, Klaus

doi:10.1109/iscas.2012.6271820

Cited by 2 publications

(2 citation statements)

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“…Note that the integration operation of each AcR channel is done using a mixed-signal approach introduced in [5]. It proposes an analog seven-order Bessel lowpass filter with a frequency up to which the group delay is considered to be constant of 96.8 MHz, and a digital two tap summation filter.…”

Section: Broadband Model Identificationmentioning

confidence: 99%

“…This paper addresses the hardware requirements of the multichannel AcR. In a previous work, the influence on the signalto-interference ratio of the implementation of the integrateand-dump device using a mixed-signal approach was shown [5]. In contrast, this work concentrates on the self-interference induced by the nonideal multiplier used to compute the autocorrelation.…”

Section: Introductionmentioning

confidence: 99%

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Analysis of nonideal multipliers for multichannel autocorrelation UWB receivers

Pedross

Witrisal

2012

2012 IEEE International Conference on Ultra-Wideband

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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 due to its multicarrier signal demodulation capability. In this paper, the hardware implementation of this receiver architecture is addressed. We focus on the multiplication device, which is a core part of the AcR and introduces strong interference due to nonlinear effects. To analyze the signal-tointerference ratio performance of the receiver system, a combined Wiener-Hammerstein system model of the multiplication device is introduced. It is shown that the receiver performance strongly depends on the input power of the nonideal multiplier devices.

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Section: Broadband Model Identificationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%