Modeling and assessment of multi-frequency GPS/BDS-2/BDS-3 kinematic precise point positioning based on vehicle-borne data

Lv, Jie; Гао, Зонгшенг; Kan, Junyao; Lan, Ruohua; Li, You; Lou, Yilan; Yang, Honglei; Peng, Junhuan

doi:10.1016/j.measurement.2021.110453

Cited by 11 publications

(6 citation statements)

References 31 publications

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“…Namun, walaupun telah ditanam dengan pola dan jarak yang ditentukan, sering kali produksi yang dihasilkan tanaman kelapa sawit per hektare tidak dapat mencapai potensi produksinya (Kumar et al, 2022;Li et al, 2022;Liang et al, 2021). Tidak tercapainya potensi produksi tersebut salah satunya dapat disebabkan karena tanaman yang ada dalam suatu luasan tidak seluruhnya merupakan pokok yang produktif, tetapi ada kemungkinan pokok tersebut adalah pokok abnormal, mati bahkan kosong (tidak terdapat tanaman) (Lv et al, 2022;Memarian et al, 2022;Muhammad et al, 2021). Oleh karena itu, di lakukanlah kegiatan penyisipan terhadap pokok non produktif maupun titik kosong yang dilaksanakan berdasarkan hasil kegiatan sensus pokok (Nezhadshahbodaghi & Mosavi, 2021;Olsen et al, 2022;Othman et al, 2021).…”

Section: Pendahuluanunclassified

“…Tahapan pelaksanaan dilakukan dengan dua macam metode, yaitu sensus pokok dengan menggunakan staple card dan sensus pokok dengan menggunakan GPS (Global Positioning System) (Memarian et al, 2022;Muhammad et al, 2021;Nezhadshahbodaghi & Mosavi, 2021). Adapun tahapan kerja dalam kajian sensus pokok menggunakan staple card adalah sebagai berikut (Li et al, 2022;Liang et al, 2021;Lv et al, 2022) Sedangkan untuk tahapan kerja dalam kajian sensus pokok menggunakan GPS adalah sebagai berikut (Jiang et al, 2021;Kenpankho et al, 2021;Kumar et al, 2022) Parameter yang diamati yaitu lamanya waktu yang dibutuhkan (waktu/ha), biaya (cost/ha), prestasi kerja (hk/ha) dan akurasi data yang dihasilkan (Gurbuz et al, 2021;Habibie et al, 2022;Halloran et al, 2021).…”

Section: Pelaksanaanunclassified

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Metode Sensus Pokok Tanaman Kelapa Sawit Menggunakan Software Map Source Dan Autodesk Map

Stefano¹,

Endayani²,

Fathiah³

2023

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Mendapatkan data tanaman yang akurat sesuai dengan kondisi real di lapangan perlu dilakukan kegiatan sensus pokok secara teliti. Pada umumnya hasil kegiatan sensus pokok dituang ke dalam form blangko sensus (staple card). Data yang dihasilkan sering kali tidak akurat. Sebagai upaya untuk menghasilkan data sensus pokok yang lebih akurat, digunakanlah GPS (Global Positioning System) sebagai alat sensus. Kajian ini dilakukan untuk menentukan metode sensus pokok yang efektif dan efisien antara menggunakan staple card dan menggunakan GPS. Metode yang digunakan dalam pelaksanaan kajian ini, yaitu dengan melakukan pengamatan dan observasi di lapangan mengenai kedua metode sensus pokok yang dikaji. Parameter yang diamati yaitu biaya, waktu dan tenaga yang dibutuhkan, serta akurasi data yang dihasilkan masing–masing metode. Hasil kajian menunjukkan bahwa sensus pokok menggunakan GPS akan lebih efisien dan efektif, serta dapat menghasilkan profit yang lebih besar bagi perusahaan yaitu Rp.204.674/ha/tahun.

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Section: Pendahuluanunclassified

Section: Pelaksanaanunclassified

Metode Sensus Pokok Tanaman Kelapa Sawit Menggunakan Software Map Source Dan Autodesk Map

Stefano¹,

Endayani²,

Fathiah³

2023

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“…With the increase of available frequencies of GNSS satellites, PPP gradually develops from the traditional dualfrequency positioning mode to the multi-frequency positioning mode. The integrated use of multi-frequency observation data can increase measurement redundancy and assist cycle-slip detection and repair, thereby improving the convergence speed as well as positioning accuracy and reliability of PPP [2].…”

Section: Introductionmentioning

confidence: 99%

BDS-3 six-frequency precise point positioning: effects of receiver-dependent inter-frequency clock bias and multi-frequency contributions

Zhang,

Pan

2024

Meas. Sci. Technol.

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We find that there is time-varying bias at the receiver in BDS-3 multi-frequency phase observations, which will lead to receiver-dependent inter-frequency clock bias (RIFCB) and damage the rigor of BDS-3 multi-frequency precise point positioning (PPP) model. A unified RIFCB correction method compatible with uncombined and ionospheric-free combined PPP models using any BDS-3 frequencies is proposed. The contributions of multi-frequency integration to BDS-3 static and kinematic PPP performance are evaluated. The results indicate that the RIFCB amplitude can reach 1 dm. If the RIFCB correction is ignored, the phase observation residuals present a systematic bias. RIFCB has potential effects on precise time transfer, ionospheric monitoring, and fractional cycle bias estimation. Experimental results show that the long-term frequency stability of time transfer can be improved by correcting RIFCB. The joint use of all BDS-3 six-frequency signals can significantly shorten the convergence time, and the positioning accuracy can also be slightly improved.

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“…As planned, the first-generation BDS (BDS-1), the second-generation BDS (BDS-2), and the third-generation BDS (BDS-3) were completed successively in 2003, 2012, and 2020, with the corresponding satellite constellations of 3 Geostationary Orbit (GEO) satellites, 5 GEO satellites+5 IGSO (Inclined Geosynchronous Orbit) satellites+4 MEO (Medium Earth Orbit) satellites, and 3 GEO+3 IGSO+24 MEO satellites, respectively. Currently, the global Positioning, Navigation, and Timing (PNT) services of BDS are supported by signals on frequencies B1I (1561.098 MHz), B2I (1207.14 MHz), B3I (1268.52 MHz), B1C (1575.42 MHz), B2a (1176.45 MHz), and B2b (1207.14 MHz) [2][3][4][5][6][7]. Among these services, the Precise Point Positioning (PPP)-B2b enhancement service is of great significance, and also it is considered to be the core support for smart city development in China.…”

Section: Introductionmentioning

confidence: 99%

Low-Cost IMU and Odometer Tightly Augmented PPP-B2b-Based Inter-Satellite Differenced PPP in Urban Environments

Min

Гао

et al. 2022

Remote Sensing

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Since 23 June 2020, BDS-3 has been entirely operated and obtained the ability of global PNT (Positioning, Navigation, and Timing) services. Afterward, real-time Precise Point Positioning (PPP) service is available in China’s surrounding areas via BDS-3 PPP-B2b signal. However, such a real-time PPP service cannot maintain the high accuracy and continuity of positioning solutions in challenging environments, such as urban environments. For that, we carried out a model by integrating between-satellite single-differenced (BSSD) PPP, a low-cost Inertial Navigation System (INS), and an odometer via an extended Kalman filter. The performance of this integration model was assessed with vehicle-borne data. Results demonstrated that (1) the position RMS (Root Mean Square) of BSSD PPP are 64.33 cm, 53.47 cm, and 154.11 cm. Compared with BSSD PPP, about 31.2%, 23.3%, and 27.3% position improvements can be achieved by using INS. Further enhancements of position RMS benefiting from the odometer are 1.34%, 1.41%, and 1.73% in the three directions. (2) Anyway, the accuracy of BSSD PPP/INS/Odometer tightly coupled integration is slightly higher than that of undifferenced PPP/INS/Odometer integration, with average improvement percentages of 7.71%, 3.09%, and 0.27%. Meanwhile, the performance of BSSD PPP/INS/Odometer integration during the periods with satellite outages is better than the undifferenced PPP-based solutions. (3) The improvements in attitudes from an odometer are more significant on heading angle than the other two attitudes, with percentages of 25.00%. (4) During frequent GNSS outage periods, the reduction in average maximum position drifts provided by INS are 18.01%, 8.95%, and 20.74%. After integrating with an odometer, the drifts can be furtherly decreased by 25.11%, 15.96%, and 20.69%. For attitude, about 41.67% reduction in average maximum drifts of heading angles is obtained.

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Modeling and assessment of multi-frequency GPS/BDS-2/BDS-3 kinematic precise point positioning based on vehicle-borne data

Cited by 11 publications

References 31 publications

Metode Sensus Pokok Tanaman Kelapa Sawit Menggunakan Software Map Source Dan Autodesk Map

Metode Sensus Pokok Tanaman Kelapa Sawit Menggunakan Software Map Source Dan Autodesk Map

BDS-3 six-frequency precise point positioning: effects of receiver-dependent inter-frequency clock bias and multi-frequency contributions

Low-Cost IMU and Odometer Tightly Augmented PPP-B2b-Based Inter-Satellite Differenced PPP in Urban Environments

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