{"title":"A new measurement model of interferometric radar altimeter for terrain referenced navigation using particle filter","authors":"Junwoo Park, Youngjoo Kim, H. Bang","doi":"10.1109/EURONAV.2017.7954173","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954173","url":null,"abstract":"This paper proposes a novel method of grafting one of the measurements of interferometric radar altimeter (IRA) onto particle filter that uses sequential importance resampling (SIR) to enhance the performance of terrain referenced navigation (TRN). IRA which is a terrain sensor that measures slant range, slant angle and look angle to the closest terrain point from the aircraft is introduced. The procedure of numerically replicating the measurements of IRA when the position, velocity, and attitude of aircraft, and the terrain database is given is provided herein this paper. Although the degree of accuracy of IRA measurements is higher than radar altimeter (RA), performance of TRN that utilizes IRA stays in a similar level with RA-aided TRN or becomes even worse because the way of utilizing IRA measurements remains unchanged. Proposed method estimates the slant range from each of the particles to their closest terrain point to update the position of an aircraft. Numerical simulations that use actual terrain database is presented to observe the performance of proposed method in comparison with typical TRN that utilizes RA and another that makes use of IRA measurements in a conventional manner. Performance of TRN with proposed method gets improved in terms of root mean square error of aircraft's 2D position and initial position error correction.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"163 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129231251","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}
{"title":"A modeling of GPS error distributions","authors":"Abdellah El Abbous, Nel Samanta","doi":"10.1109/EURONAV.2017.7954200","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954200","url":null,"abstract":"There are numerous uses of Global Navigation Satellite Systems (GNSS): navigation, of course, but also various optimizations, such as routing or handover protocols in telecommunication networks. Moreover, energy saving approaches may also be based on the use of the locations of the various entities involved. Most of the time, the positioning is considered to be “perfect”: no uncertainty on the values, sometimes leading to inappropriate results and conclusions concerning the above-mentioned optimizations. This paper intends to provide the various communities with a simple, proved and easy to use statistical model of the error distributions of the GPS positioning. A large measurement campaign has been carried out in order to provide the model with a representative base of GPS data. The receiver used is a ublox 6T for raw data and it has been associated with the free RTKLIB software for data processing. We have highlighted that a specific parameter, called “Cost” and defined in the paper, can be used in order to completely define the model. Since this parameter can be estimated from the receiver, the model can thus either be used in real time or in post processing, or even included in any optimization scheme. The proposed model has been validated in various environmental conditions that have a great impact on the distributions of the positioning error and on the accuracy of GPS receivers.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132221793","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}
{"title":"Robust signal processing for GNSS","authors":"D. Borio","doi":"10.1109/EURONAV.2017.7954204","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954204","url":null,"abstract":"Digital signal processing for Global Navigation Satellite System (GNSS) receivers is mostly based on the assumption that the noise at the receiver input is Gaussian. This assumption leads to a non-linear Least Squares (LS) problem where GNSS signal parameters are estimated by minimizing a quadratic cost function. The receiver performance can be however significantly degraded by non-Gaussian phenomena such as interference and jamming.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134490922","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}
D. Tarchi, G. Guglieri, M. Vespe, C. Gioia, Francesco Sermi, V. Kyovtorov
{"title":"Search and Rescue: Surveillance support from RPAs radar","authors":"D. Tarchi, G. Guglieri, M. Vespe, C. Gioia, Francesco Sermi, V. Kyovtorov","doi":"10.1109/EURONAV.2017.7954216","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954216","url":null,"abstract":"The migratory flow across the Mediterranean sea has lost its “emergency” nature and has become more than ever an everyday reality. There is an evident need to strengthen the control at the European external borders and in particular in the Mediterranean sea, where the surveillance system must also support Search and Rescue (SaR) operations.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128832179","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}
{"title":"Regularized estimation for GNSS positioning in multipath/non-line-of-sight environments","authors":"N. Kbayer, M. Sahmoudi","doi":"10.1109/EURONAV.2017.7954170","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954170","url":null,"abstract":"Considered as the free accessible and suitable solution for positioning in urban areas, Global Navigation Satellite Systems (GNSS) have been widely used these recent years in a wide spectrum of applications. However, signal blockage, non-line-of-sight (NLOS) multipath interferences and signal degradation affect the system performance and represent the major hurdles of GNSS in it course of adoption as a main localization technology in urban environments. Many approaches have been employed to constructively use these degraded signals in order to reduce positioning errors. Following this vision, we propose in this paper a joint estimation method of the position and the bias for measurement correction. This formulation leads to an ill-conditioned estimation problem. In this work, we apply a regularized robust estimation framework to this problem of NLOS mitigation for GNSS positioning in harsh areas. We derive the optimal regularization matrix by minimizing the total Mean Square Errors (MSE) of the considered model. The performance of the proposed method is assessed using real GNSS data collected in a dense urban area in Toulouse City, showing improvements in comparison to some existing methods.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126695950","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}
A. Alessandrini, C. Gioia, Francesco Sermi, Ioannis Sofos, D. Tarchi, M. Vespe
{"title":"WiFi positioning and Big Data to monitor flows of people on a wide scale","authors":"A. Alessandrini, C. Gioia, Francesco Sermi, Ioannis Sofos, D. Tarchi, M. Vespe","doi":"10.1109/EURONAV.2017.7954224","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954224","url":null,"abstract":"The possibility to count the accesses to a site and monitor the internal movements of people can be useful in many different scenarios. In this respect, a WiFi network can be exploited to count accesses and estimate users position. This study extends this principle to a wide spatial area and to a large number of users, introducing synergies between Big Data and localization techniques. The 2016 Open Day of the Joint Research Centre (JRC), Ispra (Italy), was a good opportunity to investigate the potential of Big Data and positioning techniques. During the event, which counted the participation of some 8000 people within an area of about 167 hectares, 20 WiFi access points, scattered across the site, recorded the access of wireless devices, such as smartphones and tablets, belonging to visitors and volunteers. By exploiting the Media Access Control (MAC) address (the device unique identifier) through a data-cleaning process, the data analysis allowed estimating the number of participants to the event and the space/time evolution of their position. Moreover, the visitors flow was reconstructed using a Weigthed Centroid (WeC) algorithm. The results achieved, in terms of number of participants, confirmed the data of the JRC registry report compiled at the entrance points of the area. In addition, the results relative to the people flow within the site were found compatible with the scheduling of the event and with its actual progress.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115496568","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}
{"title":"PDR and GPS trajectory parts matching for an improved self-contained personal navigation solution with handheld device","authors":"Federica Inderst, F. Pascucci, Valérie Renaudin","doi":"10.1109/EURONAV.2017.7954198","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954198","url":null,"abstract":"The evolution of smartphones and their embedded sensors motivates research toward the development of handheld device based navigation solutions especially for harsh environments. In this context, Pedestrian Dead Reckoning is usually adopted to compute the pedestrian's trajectory. Step/stride lengths and walking directions are combined in a recursive process. Unfortunately the estimated path suffers from drifting errors due to the sensors' nature and the motion complexity. To reduce this error, map matching strategies are studied and several solutions are proposed in the literature. In this work a Matching Filter is proposed to mitigate the drifting errors. The Matching Filter is a nest filter based on an Extended Kalman Filter and a Complementary filter. The key idea is to match the PDR trajectory with the standalone GPS trajectory during opportune phases in order to estimate a global heading and scale factor errors on the PDR path. The proposed strategy is tested with a 1km walk in a shopping center. A 75% improvement is found as compared to the PDR only trajectory.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132602435","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}
S. Thombre, R. Guinness, H. Kuusniemi, Z. Pietrzykowski, P. Banás, P. Wołejsza, Olli Seppälä, Juhani Laukkanen, Philippe Ghawi
{"title":"Proof-of-concept demonstrator to Improve Safety of Maritime navigation in the Baltic Sea","authors":"S. Thombre, R. Guinness, H. Kuusniemi, Z. Pietrzykowski, P. Banás, P. Wołejsza, Olli Seppälä, Juhani Laukkanen, Philippe Ghawi","doi":"10.1109/EURONAV.2017.7954213","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954213","url":null,"abstract":"This paper describes the proof-of-concept demonstrator implemented as part of the project Enhanced Situational Awareness to Improve Maritime Safety in the Baltic (BONUS ESABALT). The demonstrator represents the system as used in different classes of vessels including leisure craft (small boats), larger ships, and authority vessels. Various validation scenarios are implemented to demonstrate the system functionality, for example application of ESABALT to aid in recovery operations after an oil spill, rerouting in the presence of significant sea-ice, aiding vessel navigation in case of a GNSS interference event, and situations where multiple ships are in distress. The demonstrator is implemented on a laptop computer and using the FURUNO FFSC-200 software environment, FURUNO Finland FICE-100 ice radar and FOIL-200 oil radar, live ship data from AIS receivers, dashboard camera, and the FURUNO Navisimu simulator environment. The simulated data include AIS tracks, radar echo and tracks, and small boat tracks. The paper also describes the implementation challenges, quality of service factors, and results of the economic and non-economic viability analysis of the proposed ESABALT system for potential full-implementation in the future. This study shows that the system would be cost-effective and the benefits to international cooperation, maritime safety, and environmental monitoring would outweigh the management costs necessary to sustain it.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114549105","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}
Eun-hyouek Kim, Dong-wook Koh, Amer Mohammad Al Sayegh, Ibrahim Abdulla Al Midfa
{"title":"Ionospheric model correction for spaceborne GNSS receiver","authors":"Eun-hyouek Kim, Dong-wook Koh, Amer Mohammad Al Sayegh, Ibrahim Abdulla Al Midfa","doi":"10.1109/EURONAV.2017.7954212","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954212","url":null,"abstract":"This paper describes an ionospheric model correction for single-frequency GNSS receiver operated in low earth orbit. Various models have been proposed for removing ionospheric time delay, all of which were developed for GNSS receivers operating on the ground. For this reason, if the ionospheric model is applied to spaceborne GNSS receiver, the ionospheric model should be calibrated considering the characteristics of low earth orbit. The features of the characteristics are classified as the receiver altitude, single layer and the low elevation angle of receiving signal. Especially, considering receiver altitude and attitude maneuvering, there is a high possibility of receiving signals from negative elevation(−20 deg ∼ 0 deg). The proposed ionospheric correction model is designed to reflect the above three characteristics. The performance of proposed ionospheric correction model is verified using position from pseudo-range of a Dubaisat-2 satellite that orbits the earth at an altitude of 600 km. For the given test case, a 57 % position accuracy correction is achieved in an orbit determination based on High-precision Orbit Propagator.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"67 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114125006","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}
{"title":"Improvement of the attitude determination accuracy for nanosatellites using a camera sensor","authors":"Taeho Kim, Youngjoo Kim, H. Bang","doi":"10.1109/EURONAV.2017.7954226","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954226","url":null,"abstract":"This paper presents a method of improving the attitude determination accuracy for nanosatellites with the aid of the camera sensor. In typical mission, the star tracker is usually used as an optical sensor for the precise attitude pointing for the nanosatellite. However, mostly, the star tracker cannot be affordable for most of the missions because of its cost. Instead of using the star tracker, the low cost MEMS camera module was used for providing the angular velocity vector of the satellite. The angular velocity from the camera module was put into the Extended Kalman Filter as a measurement. The simulation results showed that the attitude determination accuracy using the angular velocity from the camera module was improved compared with the results without the camera module. For the simulation, the spacecraft dynamics and the space environments were modeled for the verification. The precise camera model and the tracking of the stars in the camera images will be conducted in the future.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124633456","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}