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Performance Trades for Multiantenna GNSS Multisensor Attitude Determination Systems

机译:多天线GNSS多传感器姿态确定系统的性能交易

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摘要

We present various performance trades for multiantenna global navigation satellite system (GNSS) multisensor attitude estimation systems. In particular, attitude estimation performance sensitivity to various error sources and system configurations is assessed. This study is motivated by the need for system designers, scientists, and engineers of airborne astronomical and remote sensing platforms to better determine which system configuration is most suitable for their specific application. In order to assess performance trade-offs, the attitude estimation performance of various approaches is tested using a simulation that is based on a stratospheric balloon platform. For GNSS errors, attention is focused on multipath, receiver measurement noise, and carrier-phase breaks. For the remaining attitude sensors, different performance grades of sensors are assessed. Through a Monte Carlo simulation, it is shown that, under typical conditions, sub-0.1-degree attitude accuracy is available when using multiple antenna GNSS data only, but that this accuracy can degrade to degree level in some environments warranting the inclusion of additional attitude sensors to maintain the desired level of accuracy. Further, we show that integrating inertial sensors is more valuable whenever accurate pitch and roll estimates are critical.
机译:我们介绍了多天线全球导航卫星系统(GNSS)多传感器姿态估计系统的各种性能交易。特别是,评估了姿态估计对各种错误源和系统配置的性能敏感性。这项研究的动机是需要机载天文和遥感平台的系统设计师,科学家和工程师来更好地确定哪种系统配置最适合其特定应用。为了评估性能的折衷,使用基于平流层气球平台的模拟测试了各种方法的姿态估计性能。对于GNSS错误,注意力集中在多径,接收机测量噪声和载波相位中断上。对于其余的姿态传感器,将评估传感器的不同性能等级。通过蒙特卡洛模拟,表明在典型条件下,仅使用多天线GNSS数据时,低于0.1度的姿态精度是可用的,但是在某些环境中,此精度可能会降低到度级别,因此需要包含其他姿态传感器以保持所需的精度水平。此外,我们表明,只要精确的俯仰和侧倾估算至关重要,集成惯性传感器就更有价值。

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