导航定位与授时Pub Date : 2023-01-01DOI: 10.5266/ipntj.14.1
Takeyasu Sakai
{"title":"Integrity of SBAS before Reception of Message Type 28","authors":"Takeyasu Sakai","doi":"10.5266/ipntj.14.1","DOIUrl":"https://doi.org/10.5266/ipntj.14.1","url":null,"abstract":"","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"2016 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86517873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
导航定位与授时Pub Date : 2023-01-01DOI: 10.5266/ipntj.14.15
Yoshiyuki Yamamoto
{"title":"Time Correction of Video by GNSS Using Reciprocating Motion","authors":"Yoshiyuki Yamamoto","doi":"10.5266/ipntj.14.15","DOIUrl":"https://doi.org/10.5266/ipntj.14.15","url":null,"abstract":"","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76811041","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
导航定位与授时Pub Date : 2022-01-01DOI: 10.5266/ipntj.13.1
Yuki Sato, R. Hirokawa, M. Higuchi, A. Taira
{"title":"Protection Level Computation using Constraints on Bias Vector","authors":"Yuki Sato, R. Hirokawa, M. Higuchi, A. Taira","doi":"10.5266/ipntj.13.1","DOIUrl":"https://doi.org/10.5266/ipntj.13.1","url":null,"abstract":"","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"61 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88139497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
导航定位与授时Pub Date : 2021-01-01DOI: 10.5266/ipntj.12.1
T. Sakai, Mitsunori Kitamura
{"title":"Ranging Accuracy of MSAS Signal","authors":"T. Sakai, Mitsunori Kitamura","doi":"10.5266/ipntj.12.1","DOIUrl":"https://doi.org/10.5266/ipntj.12.1","url":null,"abstract":"あらまし 衛星航法システムに対する補強情報を送信する補強システムとして,静止衛星を使用する SBAS(Satellite-Based Augmentation System)が標準規格となっている.SBAS の信号は GPS と同一の形式であり,GPS と同様に測位衛星として利用できる. 日本の SBAS である MSAS は過去にこのために必要なメッセージを送信して測距機能を提供していた時期があるが,現在は提供して いない.一方,MSAS の静止衛星は 2020 年 4 月に更新されており,信号生成方式が変更されていることから,測距機能の提供を再開 した場合にはその性能に変化があるものと思われる.静止衛星の更新前後の MSAS について測距精度を評価したところ,現行の MSASでは以前よりも改善されており,GPSと同等であることがわかった. Abstract SBAS (Satellite-Based Augmentation System) is the standard system which augments GNSS using geostationary satellites. The structure of SBAS signal is same with GPS and this means the SBAS satellites have capability to work as additional ranging satellites like GPS. Japanese SBAS called MSAS once provided messages for this ranging function, but nowadays does not. Recently MSAS has updated its geostationary satellite in April 2020, and this likely means the ranging accuracy also has some difference due to change in the signal generation payload if MSAS provides the ranging function again. The authors have evaluated the ranging accuracy of the MSAS signal before and after the replacement of its geostationary satellite and confirm an improvement over the past to the same level with GPS. キーワード SBAS,MSAS,測距精度 Keyword SBAS, MSAS, ranging accuracy","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82284862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
导航定位与授时Pub Date : 2020-01-01DOI: 10.5266/IPNTJ.11.1
K. Tabata, M. Nakajima, N. Kohtake
{"title":"Design of Stay Detection Method for Semi-Outdoor Spaces Covered with Topsides Based on GPS Signal-to-Noise Ratio Using Spatial Characteristics and Fuzzy Inference","authors":"K. Tabata, M. Nakajima, N. Kohtake","doi":"10.5266/IPNTJ.11.1","DOIUrl":"https://doi.org/10.5266/IPNTJ.11.1","url":null,"abstract":"あらまし 上部が覆われており,かつ側面は開けている半屋外空間は,GPS による測位精度は低下するものの一方である程度の GPS 信号は受信できるため,既存の屋内外シームレス手法を適用することが難しい.そのような特殊な環境での滞在を安定的に検知するた めに,高さ,奥行き及び側面の開放方向の 3 つのパラメータで構成する半屋外空間の空間特性から滞在検知に必要となる衛星を選定 する手法を設計した.さらに,滞在検知のための明確な閾値を設定することは難しいため,選定した衛星の信号対雑音比の値をもとに, ファジィ推論を利用して滞在を判定するための判定フローを設計した.この手法を利用することにより,3 か所の評価実験箇所において 89.4%の確率で上部を覆われた半屋外空間の滞在を検知できることを確認した. Abstract The semi-outdoor space covered with the upper part and open on the side is difficult to apply the existing indoor-outdoor seamless methods because the GPS positioning accuracy is reduced but some degree of GPS signal can be received. In order to detect a stay in such a special environment, we designed a method to select satellites for stay detection based on the spatial characteristics of the semioutdoor space, which consists of three parameters: height, depth and side opening direction. Furthermore, since it is difficult to set a specific threshold for stay detection, we designed a decision flow to determine the stay by using fuzzy inference based on the values of signal-to-noise ratio of the selected satellites. Using this method, we confirmed that we could detect the stay in the semi-outdoor space covered by the upper part of the space with 89.4% probability at three evaluation experimental locations. キーワード GPS, 信号対雑音比, ファジィ推論,半屋外空間 Keyword GPS, Signal-to-Noise Ratio, fuzzy inference, semi-outdoor space","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84504848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
导航定位与授时Pub Date : 2019-01-01DOI: 10.5266/IPNTJ.10.13
R. Furukawa, N. Kubo
{"title":"Prediction of Fixing of RTK-GNSS Positioning in Multipath Environment Using Radiowave Propagation Simulation","authors":"R. Furukawa, N. Kubo","doi":"10.5266/IPNTJ.10.13","DOIUrl":"https://doi.org/10.5266/IPNTJ.10.13","url":null,"abstract":"あらまし 衛星測位の RTK-GNSSなどの高精度測位における FIX 解の算出状況は,実施地点における衛星配置,衛星数,観 測情報の品質と測位アルゴリズムに依存する.衛星配置は航法メッセージにより推定することが可能であり,可視衛星数と観 測情報の品質は,周辺の建物などによる信号の遮蔽,反射およびアンテナ・受信機の性能を考慮し,シミュレーションにより 推定することが可能である.本研究では衛星測位における観測情報の品質を,3D建物モデルを用いたシミュレーションにより 予測し,実際の観測情報との比較を行った.また,高精度測位を実施した結果と比較し,シミュレーションによる RTK-GNSS 測位の FIX状況予測の可能性を検討した. Abstract The Fixing of RTK-GNSS satellite positioning depends on the satellites' position, number of visible satellites, signal quality and positioning algorithm. The satellites' position can be calculated from the navigation messages, while the number of visible satellites and signal quality can be predicted using simulations taking into consideration the multipath from surrounding buildings, antenna and receiver performance. In this paper, the signal quality is predicted using simulations with 3D buildings and compared with measured data. Furthermore, simulated and measured RTK-GNSS positioning from signal quality are compared to evaluate the possibility of using 3D buildings to predict the Fixing status of RTK-GNSS Positioning. The evaluation gives reasonable comparable results.","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90792703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
导航定位与授时Pub Date : 2019-01-01DOI: 10.5266/ipntj.10.23
Takeru Kadokura, Yuusuke Kawakita, S. Ioroi, Hiroshi Tanaka
{"title":"Positioning Method for Various Indoor Sound Sources by Detecting Reception Time Difference using Cross-power Spectrum Phase Analysis and its Experimental Evaluation","authors":"Takeru Kadokura, Yuusuke Kawakita, S. Ioroi, Hiroshi Tanaka","doi":"10.5266/ipntj.10.23","DOIUrl":"https://doi.org/10.5266/ipntj.10.23","url":null,"abstract":"あらまし 音波を用いた測位は高い精度が実現されているものの,測位のための音源として超音波やスペクトル拡散した音な ど,特定の音が用いられている.本論文では,実際の利用環境である室内居住空間における各種音源の発生位置を明らかにする ことを目的とし,TDOA(Time Difference Of Arrival:到達時間差)法と CSP(Cross-power Spectrum Phase analysis:白色化相互相 関)法を用いた音源を問わない測位法を提案し,実験的に検証する.音波を受信する各受信点から参照点とする受信点を定め, その点と各受信点での音波の受信時間差を CSP 法で求める.その検出結果と設定している受信点の位置から音源の位置を算出 する.実際の利用範囲を考慮した広さの室内環境内(約 5m×4m の範囲)の天井に 30個の受信点を設定した実験系を構築した. まず,参照点を決定する方法を検討し,実験によって確認した.それに基づいて,実際への適用を考慮し,電子レンジの動作音, アラーム音源である火災報知器,移動履歴のモニタ,移動制御の観点からドローンの飛行音を取り上げ,測位実験を行った.各 音源の特性によって測位精度は異なるものの,数 cm から数十 cmの範囲内の実利用が可能と考えられる測位精度が得られた結 果を示す. Abstract Although positioning using sound waves has achieved high accuracy, specific sounds such as ultrasonic waves and spectrumspread sounds are used as sound sources for positioning. The purpose of this paper is to clarify the location of various sound sources in an indoor living space, which is the actual usage environment. We propose a positioning method using TDOA (Time Difference Of Arrival) and CSP (Cross-power Spectrum Phase analysis) method and verify it experimentally. A reference point is determined from the reception points that receives a sound wave, and a difference in reception time of the sound wave between that reference point and each reception point is obtained by the CSP method. The position of the sound source is calculated from the detection result of the reception time difference and the position of the set reception points. An experimental system was constructed in which 30 reception points were set at a ceiling in an indoor environment (in the range of about 5m x 4m) with an actual usage range. In the beginning, the method of determining the reference point was investigated and its validity was confirmed by experiments. Based on this method, the authors conducted a positioning experiment by considering the actual application using microwave oven operation sound, fire alarm as alarm sound source, and drone flight sound from the viewpoint of its movement monitor and control. Although the positioning accuracy differs depending on the characteristics of each sound source, the results of positioning accuracy considered to be practically usable within the range of several centimeters to several tens of centimeters were obtained by the experiment. キーワード 屋内測位, CSP, TDOA, 音源, アラーム音, ドローン Keyword Indoor positioning, CSP, TDOA, Sound source, Alarm sound, Drone","PeriodicalId":65773,"journal":{"name":"导航定位与授时","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89598569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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