Junliang Han

Harbin Institute of Technology, Charbin, Heilongjiang Sheng, China

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Publications (3)0 Total impact

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    ABSTRACT: Based on the digital phase ramp feedback technique and advanced digital signal processing techniques, the digital detection system for closed-loop FOG is developed with digital signal processor (DSP) and field programmable gate array (FPGA). The dynamic model and the simplified linear discrete model of the detection system are established. Digital control algorithm in the closed-loop control is analyzed, and the dynamic simulation result is presented. To restrain the random noise in the real-time system, a novel wavelet-based FIR filter is presented on the basis of the orthogonal wavelet decomposition and reconstruction algorithm. The test results show that a significant improvement has been attained in the performance of FOG.
    01/2008;
  • Junliang Han, Shengmin Ge, Yi Shen
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    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
    Instrumentation and Measurement Technology Conference, 2006. IMTC 2006. Proceedings of the IEEE; 05/2006
  • Junliang Han, Shengmin Ge, Yi Shen, Xiangjun Li
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    ABSTRACT: Computer modeling and simulation are important for the researches and applications of the fiber optic gyroscope (FOG). In the paper, the dynamic model and stochastic model of digital closed-loop FOG are developed. With a number of reasonable approximations, the nonlinear dynamic model is simplified into a linear discrete dynamic model. The digital control algorithm in the closed-loop control is analyzed, and the dynamic simulation is conducted. In the stochastic modeling, different stochastic processes are built to simulate the various types of random gyro noise. A novel method is investigated to simulate 1/f noise with the orthogonal wavelet transform. The stochastic simulations are conducted and the effectiveness of the stochastic model is validated with Allan variance analysis
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on; 01/2006