1 / 24

Evolved Harmonic sampling: a tool to reduce the digital bandwidth requirement of RF receivers

Evolved Harmonic sampling: a tool to reduce the digital bandwidth requirement of RF receivers. Charles Nader 1,2,3 , Wendy Van Moer 3 , Kurt Barb é 3 , Niclas Björsell 1 , Peter Händel 2 , Zhiyang Zhao 1 1 Center for RF Measurement Technology, University of Gävle, Sweden

osgood
Download Presentation

Evolved Harmonic sampling: a tool to reduce the digital bandwidth requirement of RF receivers

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Evolved Harmonic sampling: a tool to reduce the digital bandwidth requirement of RF receivers Charles Nader1,2,3, Wendy Van Moer3, Kurt Barbé3, Niclas Björsell1, Peter Händel2 , Zhiyang Zhao1 1Center for RF Measurement Technology, University of Gävle, Sweden 2Signal Processing Lab, Royal Institute of Technology, Stockholm, Sweden 3Department ELEC, Vrije Universiteit brussel, Belgium

  2. Outline • Background • Harmonic sampling • Measuring wideband modulated signals • Problem formulation • Analytical solution • Practical considerations • Wideband spectrum reconstruction • Validation example • Simulation • Measurement • Conclusion

  3. Wireless communication system is widely spreading Background First generation analog system: analog AMPS Second generation digital system: GSM Third generation system: UMTS Forth generation system: LTE

  4. Background High Crest factor • Wireless • Signals Large Bandwidth

  5. Background Power Amplifier +30dB Nonlinear Input-Output Behavior

  6. Background Power Amplifier +30dB Nonlinear Input-Output Behavior

  7. Background Power Amplifier +30dB Nonlinear Input-Output Behavior Resolution ADC Sampling frequency Harmonic sampling Violate Nyquist sampling theory

  8. Harmonic sampling In the normal case , if the spectrum has large distance and narrow bandwidth

  9. Measuring wideband modulated signals-Problem formulation But, if the spectrum has wide band and small distance, what will happen ? Overlap Full Overlap

  10. Measuring wideband modulated signals-Problem formulation Another challenge: • Amplitude and phase ambiguities in aliased frequency components standing on multiples of Nyquist frequency (k*fs/2) Evolved harmonic sampling

  11. Measuring wideband modulated signals-Analytical solution Key: how to find a proper sampling frequency fs

  12. Measuring wideband modulated signals-Analytical solution Irrational satisfies the condition

  13. Measuring wideband modulated signals-practical consideration At High frequencies (in the order of MHz), cutting the irrationality property down to a sampling frequency accuracy of 1/0.1Hz can be achieved

  14. Measuring wideband modulated signals-practical consideration At High frequencies (in the order of MHz), cutting the irrationality property down to a sampling frequency accuracy of 1/0.1Hz can be achieved It also need consider sampling frequency coherent Furthermore

  15. Measuring wideband modulated signals-Reconstruction Knowing the down-conversion relationship Bins location of down-converted tones Spectrum reconstruction is straight-forward by descrambling

  16. Measuring wideband modulated signals-Reconstruction Descrambling Step 1: obtain spectrum of undersampled data Step 2: Find the spectrum of undersampled data corresponds frequency Step 3: reference undersampled tones

  17. Measuring wideband modulated signals-Reconstruction Descrambling Step 4: find out minimum difference with Step 5: Reconstruct wide band spectrum

  18. Validation Example- Simulation IAI noise x+x3 ADC f

  19. Validation Example- Simulation ADC Fs (MHz) 69.302263 Original 8192 samples Measured 8232 samples Error Reconstructed

  20. Validation Example- Measurement one Reference Measured with 200 MHz Measured with 79.231771 MHz

  21. Validation Example- Measurement two Reference: Nyquist sample Sampling frequency:400 MHz Blue one: Sampling frequency:168. 2150223MHz Red one is the difference between undersampled one and reference one after synchronization

  22. Conclusion • Method to sample and reconstruct wideband signal • A way to choose the right sampling frequency and number of samples • Method is validated by simulation and measurement • A tool to design wide-band receivers/cognitive radios

  23. Thank you

  24. Questions ?

More Related