Evaluation of GPU Computing Capacity for All-in-view GNSS SDR Implementation
Yun Sub Choi, Hung Seok Seo, Young Baek Kim
https://doi.org/10.11003/JPNT.2023.12.1.75
In this study, we design an optimized Graphics Processing Unit (GPU)-based GNSS signal processing technique with the goal of designing and implementing a GNSS Software Defined Receiver (SDR) that can operate in real time all-in-view mode under multi-constellation…
A Modelling and Control Method for a Hybrid ROV/AUV for Underwater Exploration
Nak Yong Ko, Jiyoun Moon
https://doi.org/10.11003/JPNT.2023.12.1.67
As interest in underwater structures and ocean exploration increases, many researchers are proposing methods for modeling and controlling various remotely operated vehicles (ROVs). Recently, hybrid systems composed of an autonomous underwater vehicle…
Novel FFT Acquisition Scheme with Baseband Resampling for MultiGNSS Receivers
Jinseok Kim, Sunyong Lee, Hung Seok Seo
https://doi.org/10.11003/JPNT.2023.12.1.59
A GNSS receiver must perform signal acquisition to estimate the code phase and Doppler frequency of the incoming satellite signals, which are essential information for baseband signal processing. Modernized GNSS signals have different modulation schemes and…
Along-Track Position Error Bound Estimation using Kalman FilterBased RAIM for UAV Geofencing
Gihun Nam, Junsoo Kim, Dongchan Min, Jiyun Lee
https://doi.org/10.11003/JPNT.2023.12.1.51
Geofencing supports unmanned aerial vehicle (UAV) operation by defining stay-in and stay-out regions. National Aeronautics and Space Administration (NASA) has developed a prototype of the geofencing function, SAFEGUARD, which prevents stayout…
Geodetic Survey Campaigns and Maintenance Plan for KASS Reference Station Antenna Coordinates
Hwanho Jeong, Hyunjin Jang, Youngsun Yun, ByungSeok Lee
https://doi.org/10.11003/JPNT.2023.12.1.83
The Korea Augmentation Satellite System (KASS) system is a Satellite Based Augmentation System (SBAS) under development to provide APV-I SBAS service in the Republic of Korea. The KASS ground segment generates correction and integrity information for GPS…
Signal Number Estimation Algorithm Based on Uniform Circular Array Antenna
Heui-Seon Park, Hongrae Kim, Suk-seung Hwang
https://doi.org/10.11003/JPNT.2023.12.1.49
In modern wireless communication systems including beamformers or location-based services (LBS), which employ multiple antenna elements, estimating the number of signals is essential for accurately determining the quality of the communication service. …
Unlabeled Wi-Fi RSSI Indoor Positioning by Using IMU
Chanyeong Ju, Jaehyun Yoo
https://doi.org/10.11003/JPNT.2023.12.1.37
Wi-Fi Received Signal Strength Indicator (RSSI) is considered one of the most important sensor data types for indoor localization. However, collecting a RSSI fingerprint, which consists of pairs of a RSSI measurement set and a corresponding…
Development of Real-time Mission Monitoring for the Korea Augmentation Satellite System
Daehee Won, Koontack Kim, Eunsung Lee, Jungja Kim, Youngjae Song
https://doi.org/10.11003/JPNT.2023.12.1.23
Korea Augmentation Satellite System (KASS) is a satellite-based augmentation system (SBAS) that provides approach procedure with vertical guidance-I (APV-I) level corrections and integrity information to Korea territory. KASS is used to monitor navigation…
A Study on Effective Satellite Selection Method for Multi-Constellation GNSS
Taek Geun Lee, Yu Dam Lee, Hyung Keun Lee
https://doi.org/10.11003/JPNT.2023.12.1.11
In this paper, we propose an efficient satellite selection method for multi-constellation GNSS. The number of visible satellites has increased dramatically recently due to multi-constellation GNSS. By the increased availability, the overall GNSS performance can be …
GNSS NLOS Signal Classifier with Successive Correlation Outputs using CNN
Sangjae Cho, Jeong-Hoon Kim
https://doi.org/10.11003/JPNT.2023.12.1.1
The problem of classifying a non-line-of-sight (NLOS) signal in a multipath channel is important to improve global navigation satellite system (GNSS) positioning accuracy in urban areas. Conventional deep learning-based NLOS signal classifiers use…