对实时嵌入式操作系统μC/OS-Ⅱ在TI公司的TMS320VC33芯片上的移植和应用做了具体的讨论和研究。在数字信号处理器(Digital Signal Processor,DSP)芯片上移植实时操作系统,更加充分地发挥DSP的强大数字信号处理功能,并进一步降低DSP软...对实时嵌入式操作系统μC/OS-Ⅱ在TI公司的TMS320VC33芯片上的移植和应用做了具体的讨论和研究。在数字信号处理器(Digital Signal Processor,DSP)芯片上移植实时操作系统,更加充分地发挥DSP的强大数字信号处理功能,并进一步降低DSP软件开发难度,提高了软件的可靠性。介绍实时嵌入式操作系统μC/OS-Ⅱ,分析他在TMS320VC33上移植的具体步骤,详细讨论了任务的划分、管理和同步,对DSP的操作系统移植有实际的指导作用和参考价值。展开更多
To evaluate the performance of real time kinematic (RTK) network algorithms without applying actual measurements, a new method called geometric precision evaluation methodology (GPEM) based on covariance analysis was ...To evaluate the performance of real time kinematic (RTK) network algorithms without applying actual measurements, a new method called geometric precision evaluation methodology (GPEM) based on covariance analysis was presented. Three types of multiple reference station interpolation algorithms, including partial derivation algorithm (PDA), linear interpolation algorithms (LIA) and least squares condition (LSC) were discussed and analyzed. The geometric dilution of precision (GDOP) was defined to describe the influence of the network geometry on the interpolation precision, and the different GDOP expressions of above-mentioned algorithms were deduced. In order to compare geometric precision characteristics among different multiple reference station network algorithms, a simulation was conducted, and the GDOP contours of these algorithms were enumerated. Finally, to confirm the validation of GPEM, an experiment was conducted using data from Unite State Continuously Operating Reference Stations (US-CORS), and the precision performances were calculated according to the real test data and GPEM, respectively. The results show that GPEM generates very accurate estimation of the performance compared to the real data test.展开更多
文摘对实时嵌入式操作系统μC/OS-Ⅱ在TI公司的TMS320VC33芯片上的移植和应用做了具体的讨论和研究。在数字信号处理器(Digital Signal Processor,DSP)芯片上移植实时操作系统,更加充分地发挥DSP的强大数字信号处理功能,并进一步降低DSP软件开发难度,提高了软件的可靠性。介绍实时嵌入式操作系统μC/OS-Ⅱ,分析他在TMS320VC33上移植的具体步骤,详细讨论了任务的划分、管理和同步,对DSP的操作系统移植有实际的指导作用和参考价值。
基金Project(61273055) supported by the National Natural Science Foundation of ChinaProject(CX2010B012) supported by Hunan Provincial Innovation Foundation for Postgraduate Students, ChinaProject(B100302) supported by Innovation Foundation for Postgraduate Students of National University of Defense Technology, China
文摘To evaluate the performance of real time kinematic (RTK) network algorithms without applying actual measurements, a new method called geometric precision evaluation methodology (GPEM) based on covariance analysis was presented. Three types of multiple reference station interpolation algorithms, including partial derivation algorithm (PDA), linear interpolation algorithms (LIA) and least squares condition (LSC) were discussed and analyzed. The geometric dilution of precision (GDOP) was defined to describe the influence of the network geometry on the interpolation precision, and the different GDOP expressions of above-mentioned algorithms were deduced. In order to compare geometric precision characteristics among different multiple reference station network algorithms, a simulation was conducted, and the GDOP contours of these algorithms were enumerated. Finally, to confirm the validation of GPEM, an experiment was conducted using data from Unite State Continuously Operating Reference Stations (US-CORS), and the precision performances were calculated according to the real test data and GPEM, respectively. The results show that GPEM generates very accurate estimation of the performance compared to the real data test.
