DocumentCode
1888573
Title
Implementation of Digital Detection Scheme for Closed-Loop FOG Based on DSP and FPGA
Author
Han, Junliang ; Ge, Shengmin ; Shen, Yi
Author_Institution
Dept. of Control Sci. & Eng., Harbin Inst. of Technol.
fYear
2006
fDate
24-27 April 2006
Firstpage
2221
Lastpage
2225
Abstract
Digital closed-loop FOG detection scheme based on square wave bias and digital phase ramp feedback technique is introduced. A novel implementation of the detection scheme is developed with digital signal processor (DSP) and field programmable gate array (FPGA). Design and implementation of the detection system are discussed. Timing control and closed-loop signal processing and are implemented in FPGA. To restrain the random noise in the real-time system, an adaptive transverse filter is designed based on the least mean square (LMS) algorithm and is implemented in DSP for real-time filtering. Experiments and tests show that good performances have been achieved and the implementation scheme is of great practical value
Keywords
adaptive filters; digital signal processing chips; fibre optic gyroscopes; field programmable gate arrays; least mean squares methods; transversal filters; adaptive transverse filter; closed-loop signal processing; digital closed-loop FOG detection scheme; digital phase ramp feedback technique; digital signal processor; field programmable gate array; least mean square algorithm; random noise; real-time filtering; square wave bias; timing control; Adaptive filters; Adaptive signal processing; Digital signal processing; Digital signal processors; Feedback; Field programmable gate arrays; Phase detection; Real time systems; Signal processing algorithms; Timing; DSP; FOG; FPGA; adaptive filtering; digital phase ramp;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE
Conference_Location
Sorrento
ISSN
1091-5281
Print_ISBN
0-7803-9359-7
Electronic_ISBN
1091-5281
Type
conf
DOI
10.1109/IMTC.2006.328566
Filename
4124754
Link To Document