horizontal dilution of precision

简明释义

水平精度系数

英英释义

例句

1.When analyzing satellite data, scientists must account for horizontal dilution of precision 水平精度降低 to improve accuracy.

在分析卫星数据时，科学家必须考虑到水平精度降低 horizontal dilution of precision以提高准确性。

2.During field tests, we observed a noticeable horizontal dilution of precision 水平精度降低 due to tree cover.

在现场测试中，我们观察到由于树木遮挡，出现明显的水平精度降低 horizontal dilution of precision。

3.In urban environments, buildings can cause a horizontal dilution of precision 水平精度降低 for navigation systems.

在城市环境中，建筑物会导致导航系统的水平精度降低 horizontal dilution of precision。

4.The GPS signal was weak, leading to a significant horizontal dilution of precision 水平精度降低 in the location data.

GPS信号较弱，导致位置数据的水平精度降低 horizontal dilution of precision显著。

5.A high number of satellites in view can reduce the horizontal dilution of precision 水平精度降低 experienced by the receiver.

视野中卫星数量较多可以减少接收器经历的水平精度降低 horizontal dilution of precision。

作文

In the realm of navigation and positioning systems, particularly those utilizing Global Navigation Satellite Systems (GNSS), the term horizontal dilution of precision plays a crucial role in determining the accuracy of positional data. The horizontal dilution of precision (HDOP) is a metric that indicates the effect of satellite geometry on the accuracy of horizontal position measurements. A lower HDOP value signifies better satellite geometry, which leads to more accurate positioning, while a higher HDOP value suggests poorer geometry and, consequently, less reliable positioning information.To understand the significance of horizontal dilution of precision, one must first consider how GNSS works. GNSS relies on a constellation of satellites that transmit signals to receivers on Earth. By triangulating the signals from multiple satellites, a receiver can determine its precise location. However, the arrangement of these satellites in the sky can significantly impact the accuracy of the calculated position. For instance, if the satellites are clustered closely together, the receiver may struggle to discern its exact location due to the lack of diverse geometric angles. This is where the concept of horizontal dilution of precision becomes essential.The calculation of HDOP involves the positions of the satellites in relation to the receiver's position. When satellites are well-distributed across the sky, the HDOP value decreases, indicating high accuracy. Conversely, when satellites are poorly distributed, the HDOP value increases, suggesting lower accuracy. Therefore, it is advisable for users of GNSS technology to be aware of the HDOP value when planning activities that require precise positioning, such as surveying, geocaching, or navigation.Moreover, the implications of high horizontal dilution of precision extend beyond mere inconvenience. In critical applications such as aviation, maritime navigation, and emergency response, inaccurate positioning can lead to severe consequences. Pilots rely on precise navigation data to avoid collisions and ensure safe landings, while maritime vessels depend on accurate GPS information to navigate treacherous waters. A high HDOP could result in navigational errors, putting lives at risk.In practical terms, users can often find HDOP values displayed on their GNSS devices or applications. It is important to monitor these values and choose times and locations for navigation when HDOP values are low. Additionally, users can enhance their positioning accuracy by using differential GPS (DGPS) or real-time kinematic (RTK) positioning systems, which provide corrections to the GNSS signals and can significantly reduce the effects of horizontal dilution of precision.In conclusion, the concept of horizontal dilution of precision is vital for anyone relying on GNSS technology for accurate positioning. Understanding how satellite geometry affects positioning accuracy can help users make informed decisions and improve their navigation experience. By paying attention to HDOP values and utilizing advanced positioning techniques, individuals can mitigate the risks associated with high dilution of precision and ensure they reach their destinations safely and accurately.

在导航和定位系统的领域，特别是那些利用全球导航卫星系统（GNSS）的系统中，术语水平精度稀释在确定位置数据的准确性方面起着至关重要的作用。水平精度稀释（HDOP）是一个指标，表示卫星几何形状对水平位置测量准确性的影响。较低的HDOP值表示更好的卫星几何形状，从而导致更准确的定位，而较高的HDOP值则表明几何形状较差，因此位置数据的可靠性较低。要理解水平精度稀释的重要性，首先必须考虑GNSS的工作原理。GNSS依赖于一组卫星，这些卫星向地球上的接收器发送信号。通过三角测量来自多颗卫星的信号，接收器可以确定其精确位置。然而，这些卫星在天空中的排列会显著影响计算位置的准确性。例如，如果卫星聚集在一起，接收器可能会因为缺乏多样的几何角度而难以辨别其确切位置。这就是水平精度稀释概念变得至关重要的地方。HDOP的计算涉及卫星相对于接收器位置的分布。当卫星在天空中分布良好时，HDOP值降低，表明高准确性。相反，当卫星分布不佳时，HDOP值增加，表明低准确性。因此，建议使用GNSS技术的用户在进行需要精确定位的活动（如测量、寻宝或导航）时关注HDOP值。此外，高水平精度稀释的影响不仅仅是带来不便。在航空、海洋导航和紧急响应等关键应用中，不准确的定位可能导致严重后果。飞行员依赖精确的导航数据来避免碰撞并确保安全着陆，而海洋船只则依赖准确的GPS信息来在危险水域中航行。高HDOP可能导致导航错误，危及生命。在实际操作中，用户通常可以在他们的GNSS设备或应用程序上找到HDOP值。监控这些值并选择在HDOP值较低的时间和地点进行导航是很重要的。此外，用户可以通过使用差分GPS（DGPS）或实时动态（RTK）定位系统来提高定位准确性，这些系统提供GNSS信号的修正，并可以显著减少水平精度稀释的影响。总之，水平精度稀释的概念对于任何依赖GNSS技术进行准确定位的人来说都是至关重要的。了解卫星几何形状如何影响定位准确性可以帮助用户做出明智的决策并改善他们的导航体验。通过关注HDOP值并利用先进的定位技术，个人可以减轻与高精度稀释相关的风险，确保安全准确地到达目的地。