Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

A new IQ detection method for LLRF

Författare

  • Feng Qiu
  • Jie Gao
  • Hai-ying Lin
  • Rong Liu
  • Xin-peng Ma
  • Peng Sha
  • Yi Sun
  • Guang-wei Wang
  • Qun-yao Wang
  • Bo Xu
  • Rihua Zeng

Summary, in English

Digital LLRF technology has been widely used in new generation particle accelerators. IF quadrature sampling is a common method for amplitude and phase detection. Many strategies, which obey the same rule of f(sample) = (M/N)f(IF) (M/N is a rational number), have been proposed to reduce the effects of spectrum aliasing. However, we found that M/N does not need to be a rational number according to Shannon's theorem. Therefore, we propose a new IQ detection method in this paper. This method is based on a special IIR filter which is derived from an RLC circuit. The unique characteristic of the method is that the value of f(IF) is independent of the value of, f(sample). We have set up an experimental platform to verify our method. A 122.88 MHz sampling clock is used to sample a 3 MHz IF signal. The DOS and PI control techniques are used to realize the closed-loop control. Results show that the stability of the system is within +/- 0.05% (peak to peak) for the amplitude, and with +/- 0.03 degrees (peak to peak) for the phase in 5 h. (C) 2012 Elsevier B.V. All rights reserved.

Publiceringsår

2012

Språk

Engelska

Sidor

139-143

Publikation/Tidskrift/Serie

Nuclear Instruments & Methods in Physics Research. Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment

Volym

675

Dokumenttyp

Artikel i tidskrift

Förlag

Elsevier

Ämne

  • Accelerator Physics and Instrumentation

Nyckelord

  • LLRF
  • IQ detection
  • IIR filter
  • RLC circuit
  • DDS

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0167-5087