Development and performance evaluation of Correntropy Kalman Filter for improved accuracy of GPS position estimation

Pagoti, Sirish Kumar; Vemuri, Bala Sai Srilatha Indira Dutt

doi:10.1016/j.ijin.2022.01.002

Cited by 14 publications

(8 citation statements)

References 11 publications

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“…It also highlights the different types of models and simulations that can be used, the importance of model validation and verification, uncertainty quantification, and optimization techniques. The literature also emphasizes the limitations of modeling and simulation and the need for future research to improve the accuracy, computational efficiency, and versatility of models and simulation [22].…”

Section: Overview Of Modeling and Simulationmentioning

confidence: 99%

Different Numerical Techniques, Modeling and Simulation in Solving Complex Problems

Hong

2023

JMC

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This study investigates the performance of different numerical techniques, modeling, and simulation in solving complex problems. The study found that the Finite Element Method was found to be the most precise numerical approach for simulating the behavior of structures under loading conditions, the Finite Difference Method was found to be the most efficient numerical technique for simulating fluid flow and heat transfer problems, and the Boundary Element Method was found to be the most effective numerical technique for solving problems involving singularities, such as those found in acoustics and electromagnetics. The mathematical model established in this research was able to effectively forecast the behaviors of the system under different conditions, with an error of less than 5%. The physical model established in this research was able to replicate the behavior of the system under different conditions, with an error of less than 2%. The employment of multi-physics or multi-scale modeling was found to be effective in overcoming the limitations of traditional numerical techniques. The results of this research have significant effects for the field of numerical techniques, modeling and simulation, and can be used to guide engineers and researchers in choosing the most appropriate numerical technique for their specific problem or application.

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Section: Overview Of Modeling and Simulationmentioning

confidence: 99%

Different Numerical Techniques, Modeling and Simulation in Solving Complex Problems

Hong

2023

JMC

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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).…”

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

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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“…This improvement is not a little one but a huge step forward, making possible the detailed exploration of physical phenomena with the help of polarization properties. KF's importance lies in various sectors like environmental monitoring [12][13][14][15][16][17][18][19][20][21][22][23][24][25], weather forecast [26][27][28][29][30][31][32][33][34][35][36][37], defense surveillance [38][39][40][41][42][43][44][45][46][47], and autonomous navigation systems . Its capacity to draw clear information even from messy real-world data improving the precision and reliability of measurements has made it a key tool for boosting real-time decision-making abilities [71][72][73][74][75][76][77][78][79][80][81]…”

Section: Introductionmentioning

confidence: 99%

The rise of the polarimetric Kalman filter: a bibliometric study on its growing significance

Obaideen,

AlShabi,

Gadsden

et al. 2024

Polarization: Measurement, Analysis, and Remote Sensing XVI

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This paper presents a comprehensive study on the evolution, applications, and impact of the Polarimetric Kalman Filter (PKF) in the fields of signal processing and remote sensing. By employing a methodological framework that integrates literature collection, screening and selection, bibliometric analysis, and synthesis, we aim to elucidate the PKF's contributions and potential research trajectories within its applications. Our findings highlight the PKF's significant role in enhancing data assimilation, improving predictive accuracy, and refining measurement techniques across various domains, particularly in meteorological research and environmental monitoring. The analysis reveals the interdisciplinary nature of PKF applications and its capability to merge theoretical advancements with practical implementations, underlining the importance of sophisticated signal processing algorithms in interpreting complex environmental data. The study also identifies emerging trends, such as the integration of PKF with machine learning and artificial intelligence, indicating future directions for research that promise to push the boundaries of current methodologies and applications. This paper underscores the PKF's pivotal role in advancing signal processing and remote sensing technologies, offering insights into its continuing development and the expanding scope of its applications.

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Development and performance evaluation of Correntropy Kalman Filter for improved accuracy of GPS position estimation

Cited by 14 publications

References 11 publications

Different Numerical Techniques, Modeling and Simulation in Solving Complex Problems

Different Numerical Techniques, Modeling and Simulation in Solving Complex Problems

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

The rise of the polarimetric Kalman filter: a bibliometric study on its growing significance

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