基于FPGA和DSP的微型惯导系统

朱贞; 许开銮; 刘冰

基于FPGA和DSP的微型惯导系统

1.
西安应用光学研究所,陕西西安710065

详细信息

通讯作者:
朱贞（1973-），女，陕西富平人，高级工程师，主要从事光电及惯导设计的研究工作。

中图分类号: TN911.72
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- 被引次数: 0
出版历程
- 刊出日期: 2011-07-15

FPGA and DSP based Micro-INS

1.
Xi-an Institute of Applied Optics,Xi-an 710065,China

摘要

摘要: 惯导系统的硬件组成直接影响到系统的体积和解算速度，构建合理的硬件系统直接关系到惯导系统的精度指标。针对某小型惯导系统对体积和解算精度的特殊要求，解决已有微型惯导系统的方案缺陷，提出一种工程实用强的惯导系统。该系统用FPGA作为采集控制惯性传感器的核心芯片，设计了并行采集方案，32位浮点型高速DSP实现惯导解算。经过转台测试与外场试验表明：系统具有抗干扰能力强、实时响应迅速、惯性单元标定简便、易实现等优点，系统指标完全满足原设计要求。
- DSP /
- FPGA /
- 惯性系统 /
- MEMS /
- 捷联式
Abstract: The specifications of inertial navigation system (INS) such as volume and operation speed are dependent on hardware circuit, and an optimal hardware implementation of INS can enhance the system precision. According to the volume and operation speed demands of a micro INS, an INS for a specific engineering application is presented. The field programmable gate array (FPGA) is used as the core of sampling and controlling inertial sensor, a parallel sampling plan is designed, and the inertial calculation is implemented by using a 32-bit floating-point digital signal processor (DSP). The results obtained from rotation table and field tests show that this system has strong anti-interference ability, rapid response, convenient calibration for initial unit and easy implementation.
- DSP /
- FPGA /
- inertial navigation system /
- micro-electro-mechanical system (MEMS) /
- strapdown

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参考文献(1)

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