dtss_review.pdf
介绍离散时间系统
u-blox协议细节展示 The Receiver Description Including Protocol Specification describes the firmware features, specifications and configuration for u-blox 8 / u-blox M8 high performance positioning modules. The Receiver Description provides an overview and conceptual details of the supported features. The Protocol Specification describes the NMEA and RTCM protocols as well as the UBX protocol (version 15. 00 up to 19.20, version 20.00 to 20.30, version 22.00 and version 23.00 to 23.01) and serves as a reference manual. It includes the Standard Precision GNSS, Time Sync, Time & Frequency Sync, High Precision GNSS, ADR and UDR products.
分为三个文档:RX3902B_datasheet_V1.2_UPDATED.pdf,rx3902B_寄存器列表_客户使用版V1.0_.xlsx,rx3902b_寄存器调节方法说明_v2.pdf 比较详细的说明的RX3902b射频芯片的配置方法
模拟器产生经RX3902b处理后中频1.3MHz的数据。包含L1L2L5三个频段数据,按列保存在excel文件中,matlab程序从中依次读取数据,绘出其频谱图以及时域图形。从频谱图中可以观察中频信号性能。
润芯射频芯片RX3092b配置软件,用于对GNSS射频信号进行处理,可灵活配置各项参数,通过对软件各参数的选择,自动生成寄存器配置表
对CSK(code shift keying)调制进行了详细的介绍,讲述了其基本原理,对调制解调方法,捕获跟踪等性能进行了分析,给出了推荐参数设计,通过对仿真和实测数据进行对比分析验证了各方面性能。
介绍了CSK(code shift keying)的原理和作用,适合了解CSK的相关知识,该文档为全英文,需要一定的英文文献阅读基础
采用最大似然法实现弱信号条件下的位同步,使用该方法,可以有效解决弱信号下传统直方图法效果不好的问题,实现迅速准确完成位同步。
author: Oliver J. Woodman date: August 2007 Abstract Until recently the weight and size of inertial sensors has prohibited their use in domains such as human motion capture. Recent improvements in the performance of small and lightweight micromachined electromechanical systems (MEMS) inertial sensors have made the application of inertial techniques to such problems possible. This has resulted in an increased interest in the topic of inertial navigation, however current introductions to the subject fail to sufficiently describe the error characteristics of inertial systems. We introduce inertial navigation, focusing on strapdown systems based on MEMS devices. A combination of measurement and simulation is used to explore the error characteristics of such systems. For a simple inertial navigation system (INS) based on the Xsens Mtx inertial measurement unit (IMU), we show that the average error in position grows to over 150 m after 60 seconds of operation. The propagation of orientation errors caused by noise perturbing gyroscope signals is identified as the critical cause of such drift. By simulation we examine the significance of individual noise processes perturbing the gyroscope signals, identifying white noise as the process which contributes most to the overall drift of the system. Sensor fusion and domain specific constraints can be used to reduce drift in INSs. For an example INS we show that sensor fusion using magnetometers can reduce the average error in position obtained by the system after 60 seconds from over 150 m to around 5 m. We conclude that whilst MEMS IMU technology is rapidly improving, it is not yet possible to build a MEMS based INS which gives sub-meter position accuracy for more than one minute of operation.
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