Name
Title | ||
|---|---|---|
Reducing the Analog and Digital Bandwidth Requirements of RF Receivers for Measuring Periodic Sparse Waveforms |
Abstract | ||
|---|---|---|
In this paper, a prototype setup for measuring wideband periodic waveforms whose bandwidth surpasses the analog bandwidth of a radio-frequency receiver is presented. Three major challenges arise in the analog-to-digital stage when measuring such wideband waveforms: the availability of a high sampling rate based on a good amplitude resolution; the availability of the required analog bandwidth to capture the full waveform; and achieving the previous requirements in a cheap way. Those challenges are more pronounced when using wideband modulated signals to test nonlinear devices and when measuring/sensing wideband spectra for cognitive radio applications. For periodic signals, undersampling techniques based on the evolved harmonic sampling can be used to reduce the sampling rate requirements while satisfying a good amplitude resolution. For sparse signals, a technique based on channelization and signal separation is proposed. This technique splits the spectrum of the waveform into parallel channels, downconverts them to the analog frequency band of the analog-to-digital converter (ADC), spreads the channel information, sums them, and then digitizes with a single ADC. Using reconstruction algorithms based on l1-norm minimization, the information of the parallel channels can be separated. The original wideband spectrum can be then reconstructed after de-embedding of the channelization process. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/TIM.2012.2203729 | Instrumentation and Measurement, IEEE Transactions |
Keywords | Field | DocType |
analogue-digital conversion,cognitive radio,minimisation,modulation,radio receivers,signal reconstruction,signal resolution,signal sampling,source separation,waveform analysis,wireless channels,ADC,L1-norm minimization,RF receiver,amplitude resolution,analog-to-digital converter,channelization process,cognitive radio,de-embedding,harmonic sampling,nonlinear device testing,parallel channel,periodic sparse waveform measurement,radiofrequency receiver,sampling rate,signal reconstruction algorithm,signal separation,sparse signal,undersampling technique,waveform spectrum splitting,wideband modulated signal,$ell_{1}$-norm minimization,Channelization,harmonic sampling,radio-frequency (RF) measurement systems,signal separation,sparse signals,spectrum reconstruction | Wideband,Signal processing,Frequency band,Waveform,Undersampling,Electronic engineering,Modulation,Bandwidth (signal processing),Analog signal,Electrical engineering,Mathematics | Journal |
Volume | Issue | ISSN |
61 | 11 | 0018-9456 |
Citations | PageRank | References |
4 | 0.58 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Charles Nader | 1 | 9 | 1.93 |
| Wendy Van Moer | 2 | 99 | 29.63 |
| Niclas Björsell | 3 | 68 | 13.63 |
| Kurt Barbé | 4 | 81 | 20.28 |
| Peter Handel | 5 | 776 | 91.45 |
| Van Moer, W. | 6 | 57 | 24.84 |