Medium to Long Range Kinematic GPS Positioning with Position-Velocity-Acceleration Model Using Multiple Reference Stations

Abstract

In order to obtain precise kinematic global positioning systems (GPS) in medium to large scale networks, the atmospheric effects from tropospheric and ionospheric delays need to be properly modeled and estimated. It is also preferable to use multiple reference stations to improve the reliability of the solutions. In this study, GPS kinematic positioning algorithms are developed for the medium to large-scale network based on the position-velocity-acceleration model. Hence, the algorithm can perform even in cases where the near-constant velocity assumption does not hold. In addition, the estimated kinematic accelerations can be used for the airborne gravimetry. The proposed algorithms are implemented using Kalman filter and are applied to the in situ airborne GPS data. The performance of the proposed algorithms is validated by analyzing and comparing the results with those from reference values. The results show that reliable and comparable solutions in both position and kinematic acceleration levels can be obtained using the proposed algorithms.

Enhancement of Kinematic Accelerations by Wavenumber Correlation Filtering

“…The survey was flown by Cessna Grand Caravan at speeds of about 280 km/h and a constant altitude of 10,000 feet. GPS data were collected from both GPS receivers and six ground-based continuously operating reference stations (CORS) at an interval of 1 s. GPS measurements were collected using both receivers connected to a single antenna with the kinematic accelerations of the aircraft being computed using the network-based PVA model proposed by [ 6 ]. Figure 2 shows the 1.5 h span (~400 km in distance) of 1 htz GPS data collected on 11 January 2009 that were selected for this study.…”

“…Also, the corresponding transition matrix, which describes the dynamic of aircraft and GPS measurement model, is constructed for medium- to long-range kinematic applications. More details on the PVA model and the approaches adopted in this study can be found in [ 6 ].…”

“…The kinematic accelerations, in turn, are usually computed by taking second-order time-derivatives of the aircraft’s positions measured in relative positioning mode using single or multiple GPS stations [ 5 ]. The kinematic accelerations can be estimated directly using the position-velocity-acceleration (PVA) model [ 6 , 7 ], which does not require taking the additional time-derivatives of the positions. However, both methods basically acquire precise kinematic acceleration information using relative GPS positioning that involves multiple receivers with a single antenna installed on the aircraft.…”

Internet of Things Applications: Opportunities and Threats

“…The performance analysis and reference values of the reported algorithms were confirmed by comparing the results. The results show that reliable and similar solutions can be obtained at the position and kinematic acceleration levels using the proposed algorithms [ 40 ].…”

Tekno Yöneti̇m Yapisinin Gi̇zi̇lgücü Olan Nesneleri̇n İnterneti̇ne Determi̇ni̇st Bi̇r Yaklaşim

“…IoT cihazlar izleme, konfor ve güvenliği artırmak amacıyla ev ve binalarda elektrik, elektronik ve mekanik sistemleri kontrol etmek için kullanılmaktadır (Jiang, et al;. Binalarda kullanılan sensörler köprüde kullanılanlar gibi binaların yapısal durumunu gözlemlemektedir (Hong, et al;2015. Yine sensörler sayesinde deprem sonrasında oluşan çatlaklar sonucu binaların acil olarak boşaltılması sağlanmakta ve deprem sonrasında binanın kayıp kaymadığı hesaplanabilmektedir (Ahmad, et al;.…”