Chinese Physics C > 2009, Vol. 33 > Issue(7): 594-598 DOI: 10.1088/1674-1137/33/7/017

FPGA-based amplitude and phase detection in DLLRF

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Abstract：

The new generation particle accelerator requires a highly stable radio frequency (RF) system. The stability of the RF system is realized by the Low Level RF (LLRF) subsystem which controls the amplitude and phase of the RF signal. The detection of the RF signal's amplitude and phase is fundamental to LLRF controls. High-speed ADC (Analog to Digital Converter), DAC (Digital to Analog Converter) and FPGA (Field Programmable Gate Array) play very important roles in digital LLRF control systems. This paper describes the implementation of real-time amplitude and phase detection based of the FPGA with an analysis of the main factors that affect the detection accuracy such as jitter, algorithm's defects and non-linearity of devices, which is helpful for future work on high precision detection and control.

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LIU Rong, WANG Zheng, PAN Wei-Min, WANG Guang-Wei, LIN Hai-Ying, SHA Peng and ZENG Ri-Hua. FPGA-based amplitude and phase detection in DLLRF[J]. Chinese Physics C, 2009, 33(7): 594-598. doi: 10.1088/1674-1137/33/7/017

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Received: 2008-10-28
Revised: 2009-01-06

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沈阳化工大学材料科学与工程学院沈阳 110142

FPGA-based amplitude and phase detection in DLLRF

Corresponding author:LIU Rong,

Received Date:2008-10-28
Accepted Date:2009-01-06
Available Online:2009-07-05

Abstract:

The new generation particle accelerator requires a highly stable radio frequency (RF) system. The stability of the RF system is realized by the Low Level RF (LLRF) subsystem which controls the amplitude and phase of the RF signal. The detection of the RF signal's amplitude and phase is fundamental to LLRF controls. High-speed ADC (Analog to Digital Converter), DAC (Digital to Analog Converter) and FPGA (Field Programmable Gate Array) play very important roles in digital LLRF control systems. This paper describes the implementation of real-time amplitude and phase detection based of the FPGA with an analysis of the main factors that affect the detection accuracy such as jitter, algorithm's defects and non-linearity of devices, which is helpful for future work on high precision detection and control.