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Verification of a Real-Time Attitude Determination Algorithm through Development of 48-Channel GPS Attitude Receiver Hardware

机译:通过开发48通道GPS姿态接收器硬件验证实时姿态确定算法

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This paper describes the verification of a real-time attitude determination algorithm during GPS attitude receiver hardware development. The GPS attitude receiver of 24 channels had been already developed in Surrey University. However 24 channels were not enough for practical usage. For this reason, a 48-channel attitude receiver with 12 channels for each antenna has been developed. To estimate attitude in real time, precise relative positions of the GPS antenna array have to be determined as rapidly as possible. However, the calculation load based on the conventional algorithm is too burdensome to perform using the RISC microprocessor. Therefore, in this paper, the cycle ambiguities of each base vector are resolved using SNUGLAD (Seoul Nat Univ GNSS Lab Attitude Determination), the design focus of which is to allow the receiver to estimate the 10 Hz onboard solutions. To keep precise solutions continuously, after ambiguity removal, cycle slip must be detected or isolated. Otherwise, the receiver would output erroneous solutions after a short signal blockage or fading of the GPS signal. To prevent this, we defined the cycle slip detection and repair scheme using a standard extended Kalman filter, which can detect and repair cycle slip within one cycle. As a result, this paper shows that time synchronized measurement with good quality and a reliable solution can be provided by the hardware developed with inexpensive chipsets and that this may be a possible cost efficient sensor for UAV or microsatellites.
机译:本文介绍了GPS姿态接收器硬件开发过程中实时姿态确定算法的验证。萨里大学已经开发了24个频道的GPS姿态接收器。但是,24个频道不足以实际使用。因此,已经开发了一种48通道姿态接收器,每个天线具有12个通道。为了实时估计姿态,必须尽可能快地确定GPS天线阵列的精确相对位置。但是,基于常规算法的计算负担太大,无法使用RISC微处理器执行。因此,在本文中,使用SNUGLAD(首尔国家大学GNSS实验室姿态确定)解决了每个基本矢量的循环歧义,其设计重点是允许接收器估计10 Hz机载解决方案。为了持续保持精确的解决方案,消除歧义后,必须检测或隔离周跳。否则,在短暂的信号阻塞或GPS信号衰落之后,接收机将输出错误的解。为了防止这种情况,我们使用标准扩展卡尔曼滤波器定义了周跳检测和修复方案,该方案可以在一个周期内检测和修复周跳。结果,本文表明,使用廉价芯片组开发的硬件可以提供高质量的时间同步测量和可靠的解决方案,并且这可能是用于无人机或微卫星的低成本传感器。

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