A GPS module is often combined with an atmospheric pressure sensor in onboard navigation systems. Thanks to this, using appropriate algorithms comparing the results obtained from GPS and from the barometric altimeter, it is possible to obtain much more accurate indications of the height above sea level. The authors analyzed the problem of correcting barometric altimeter errors caused by non-standard pressure and temperature conditions at sea level and the presence of water vapor in the air. The authors proposed methods of correcting the altimeter error using additional temperature and air humidity measurements. They also proposed a simple method for calibrating the altimeter prior to the mission to estimate the difference in pressure above the standard value. The paper discusses the influence of water vapor on the accuracy of the altimeter indications and the conditions for the applicability of the error correction method. The authors initially considered the possibility of using the method based on the concept of virtual temperature. However, this method was rejected because simulation studies showed that it did not give satisfactory results. Simulation tests were carried out in the MATLAB environment to assess the effectiveness of the proposed methods. The test results turned out to be satisfactory. They can be useful when designing low-cost navigation systems using simple sensors made in MEMS technology. The main envisaged application is in autonomous drone navigation systems.

GPS 模块通常与车载导航系统中的大气压力传感器结合使用。因此，使用适当的算法比较从 GPS 和气压高度计获得的结果，可以获得更准确的海拔高度指示。作者分析了由于海平面非标准压力和温度条件以及空气中存在水蒸气而引起的气压高度计误差的校正问题。作者提出了使用额外的温度和空气湿度测量来校正高度计误差的方法。他们还提出了一种在任务之前校准高度计的简单方法，以估计高于标准值的压力差。讨论了水蒸气对高度计示值精度的影响以及误差修正方法的适用条件。作者最初考虑了使用基于虚拟温度概念的方法的可能性。然而，这种方法被拒绝了，因为模拟研究表明它没有给出令人满意的结果。在MATLAB环境下进行仿真测试以评估所提方法的有效性。测试结果令人满意。当使用 MEMS 技术制造的简单传感器设计低成本导航系统时，它们非常有用。主要设想的应用是自主无人机导航系统。