• Title/Summary/Keyword: gyro signal processing

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Fiber Optic Interferometer Simulator (광섬유 간섭계 시뮬레이터)

  • Yang, Mun-Sang;Chong, Kyoung-Ho;Do, Jae-Chul;Lee, Young-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.05a
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    • pp.411-414
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    • 2008
  • The study is about simulation of optical circuit for oneself performance evaluation of Fiber Optic Gyro(FOG) closed-loop controller board. The Fiber Optic Interferometer Simulator is used a digital signal processing for cosine response specificity output of fiber optic coil about input rate. Response specificity of the fiber optic coil is $Vo(t)=K3[1+\cos\{K1(Vm(t)-Vm(t-{\tau}))+K2\}]$. Also the Fiber Optic Interferometer Simulator is able to confirm a output value with K1, K2 and K3 input. The fiber Optic Interferometer Simulator is able to oneself performance evaluation without fiber optical circuit. Because, it is the very same cosine response specificity of real fiber optic coil about input rate.

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Precise Positioning of Farm Vehicle Using Plural GPS Receivers - Error Estimation Simulation and Positioning Fixed Point - (다중 GPS 수신기에 의한 농업용 차량의 정밀 위치 계측(I) - 오차추정 시뮬레이션 및 고정위치계측 -)

  • Kim, Sang-Cheol;Cho, Sung-In;Lee, Seung-Gi;Lee, W.Y.;Hong, Young-Gi;Kim, Gook-Hwan;Cho, Hee-Je;Gang, Ghi-Won
    • Journal of Biosystems Engineering
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    • v.36 no.2
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    • pp.116-121
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    • 2011
  • This study was conducted to develop a robust navigator which could be in positioning for precision farming through developing a plural GPS receiver with 4 sets of GPS antenna. In order to improve positioning accuracy by integrating GPS signals received simultaneously, the algorithm for processing plural GPS signal effectively was designed. Performance of the algorithm was tested using a simulation program and a fixed point on WGS 84 coordinates. Results of this study are aummarized as followings. 1. 4 sets of lower grade GPS receiver and signals were integrated by kalman filter algorithm and geometric algorithm to increase positioning accuracy of the data. 2. Prototype was composed of 4 sets of GPS receiver and INS components. All Star which manufactured by CMC, gyro compass made by KVH, ground speed sensor and integration S/W based on RTOS(Real Time Operating System)were used. 3. Integration algorithm was simulated by developed program which could generate random position error less then 10 m and tested with the prototype at a fixed position. 4. When navigation data was integrated by geometrical correction and kalman filter algorithm, estimated positioning erros were less then 0.6 m and 1.0 m respectively in simulation and fixed position tests.