2008 IEEE/ION Position, Location and Navigation Symposium最新文献_第7页

Online time delay estimation of pulsar signals for relative navigation using adaptive filters 基于自适应滤波器的脉冲星相对导航信号在线时延估计

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570029

A. A. Emadzadeh, C. G. Lopes, J. Speyer

{"title":"Online time delay estimation of pulsar signals for relative navigation using adaptive filters","authors":"A. A. Emadzadeh, C. G. Lopes, J. Speyer","doi":"10.1109/PLANS.2008.4570029","DOIUrl":"https://doi.org/10.1109/PLANS.2008.4570029","url":null,"abstract":"Relative navigation of spacecrafts may be accomplished by observing X-ray sources and indirectly determining the spacecraftspsila relative position. In this approach, two spacecrafts lock on a known pulsar which irradiates X-ray waveforms that reach them with a differential time delay that is proportional to the distance between the spacecrafts. By observing different pulsar sources geometrically distributed over the galactic disc, it is possible to determine the spacecraftspsila relative inertial position. Our goal is to estimate their relative position by Time Delay Estimation (TDE) between the detected signals. Although there are several off-line TDE methods, like the basic cross-correlation (BCC) and the generalized cross-correlation (GCC) techniques, in this work we formulate TDE as a channel estimation problem and apply adaptive filtering techniques to estimate the time delay online. There are certain benefits in using adaptive filters, especially when the underlying parameters like signalspsila statistics are unknown or change over time. We study different adaptive algorithms and show how they are able to efficiently deliver accurate delay estimates at reduced computational complexity and in real time.","PeriodicalId":446381,"journal":{"name":"2008 IEEE/ION Position, Location and Navigation Symposium","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129728334","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}

引用次数: 14

Test results for the WAAS Signal Quality Monitor WAAS信号质量监视器的测试结果

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570015

P. Hsu, Timothy Chiu, Yury Golubev, Raytheon Company, R. E. Phelts

{"title":"Test results for the WAAS Signal Quality Monitor","authors":"P. Hsu, Timothy Chiu, Yury Golubev, Raytheon Company, R. E. Phelts","doi":"10.1109/PLANS.2008.4570015","DOIUrl":"https://doi.org/10.1109/PLANS.2008.4570015","url":null,"abstract":"The signal quality monitor (SQM) is an integrity monitor for the wide area augmentation system (WAAS). The monitor detects L1 signal waveform deformation of a GPS or a geosynchronous (GEO) satellite monitored by WAAS should that event occur. When a signal deformation occurs, the L1 correlation function measured by the receiver becomes distorted. The distortion will result in an error in the L1 pseudorange. The size of the error depends on the design characteristics of the user receiver. This paper describes test results for the WAAS SQM conducted using prototype software. There are two groups of test cases: the nominal testing and the negative path testing. For nominal test cases, recorded data are collected from a test facility in four 5-day periods. These four data sets include SQM correlation values for SV-receiver pairs, and satellite error bounds for satellites. They are used as input to the prototype. The prototype processes these data sets, executes the algorithm, and records test results. Parameters such as the \"maximum median-adjusted detection metric over threshold\" (i.e., the maximum detection test), \"UDRE forwarded from upstream integrity monitors,\" and \"UDRE supported by SQM\" are shown and described. The magnitude of the maximum detection test for all GPS and GEO satellites are also shown. For negative path testing, this paper describes two example simulated signal deformation test cases. A 2-day data set is collected from the prototype. A few example ICAO signal deformations are simulated based on this data set and are inserted in different time slots in the 2-day period. The correlator measurements for selected satellites are pre- processed to simulate the signal deformation. The results demonstrate the sensitivity of the Signal Quality Monitor to the simulated deformation, and shows when the event is detected and subsequently cleared. It also shows that the SQM will not adversely affect WAAS performance.","PeriodicalId":446381,"journal":{"name":"2008 IEEE/ION Position, Location and Navigation Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130905449","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}

引用次数: 9

An MCMC algorithm for BOC and AltBOC signaling acquisition in multipath environments 一种在多径环境下用于BOC和AltBOC信令采集的MCMC算法

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570099

F. Brahim, T. Chonavel, O. Rabaste

引用次数: 7

Implementation approaches of adaptive algorithms for crosscorrelation effect compensation in weak signal conditions 弱信号条件下相互关联效应补偿自适应算法的实现方法

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570118

C. Lacatus, D. Akopian, M. Shadaram

引用次数: 1

Eyeball: An inertial helmet mounted cueing system 眼球:惯性头盔上的提示系统

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4569972

J. Brandstaetter, I. Yatsiv, I. Kadosh, M. Lange, N. Maimon, M. Naroditzky, I. Rave, H. Rotstein

引用次数: 1

Wi-Fi based indoor localization and tracking using sigma-point Kalman filtering methods 基于Wi-Fi的室内定位与跟踪，采用西格玛点卡尔曼滤波方法

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4569985

Anindya S. Paul, E. Wan

{"title":"Wi-Fi based indoor localization and tracking using sigma-point Kalman filtering methods","authors":"Anindya S. Paul, E. Wan","doi":"10.1109/PLANS.2008.4569985","DOIUrl":"https://doi.org/10.1109/PLANS.2008.4569985","url":null,"abstract":"Estimating the location of people and tracking them in an indoor environment poses a fundamental challenge in ubiquitous computing. The accuracy of explicit positioning sensors such as GPS is often limited for indoor environments. In this study, we evaluate the feasibility of building an indoor location tracking system that is cost effective for large scale deployments, can operate over existing Wi-Fi networks, and can provide flexibility to accommodate new sensor observations as they become available. At the core of our system is a novel location and tracking algorithm using a sigma-point Kalman smoother (SPKS) based Bayesian inference approach. The proposed SPKS fuses a predictive model of human walking with a number of low-cost sensors to track 2D position and velocity. Available sensors include Wi-Fi received signal strength indication (RSSI), binary infrared (IR) motion sensors, and binary foot-switches. Wi-Fi signal strength is measured using a receiver tag developed by Ekahau Inc. The performance of the proposed algorithm is compared with a commercially available positioning engine, also developed by Ekahau Inc. The superior accuracy of our approach over a number of trials is demonstrated.","PeriodicalId":446381,"journal":{"name":"2008 IEEE/ION Position, Location and Navigation Symposium","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116357453","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}

引用次数: 53

Quaternion attitude estimation for miniature air vehicles using a multiplicative extended Kalman filter 基于乘式扩展卡尔曼滤波的微型飞行器四元数姿态估计

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570043

James K. Hall, Nathan B. Knoebel, T. McLain

{"title":"Quaternion attitude estimation for miniature air vehicles using a multiplicative extended Kalman filter","authors":"James K. Hall, Nathan B. Knoebel, T. McLain","doi":"10.1109/PLANS.2008.4570043","DOIUrl":"https://doi.org/10.1109/PLANS.2008.4570043","url":null,"abstract":"Utilizing the Euler-Rodrigues symmetric parameters (attitude quaternion) to describe vehicle orientation, we develop a multiplicative, nonlinear variation of the Kalman filter to fuse data from low-cost sensors. The sensor suite is comprised of gyroscopes, accelerometers, and a GPS receiver. Our filter states consist of the three components of an Euler attitude error vector. In parallel with the state time update, we utilize the gyroscope measurements for the time propagation of the attitude quaternion. The accelerometer and the GPS sensors are used independently for the measurement update portion of the filter. For both sensors, a vector arithmetic approach is used to determine the Euler attitude error vector. Following each measurement update, a multiplicative reset operation moves the attitude error information from the state into the attitude estimate. This reset operation utilizes quaternion algebra to implicitly maintain the unity-norm constraint. We demonstrate the effectiveness of our attitude estimation algorithm through flight simulations of aggressive maneuvers such as loops and small-radius circles.","PeriodicalId":446381,"journal":{"name":"2008 IEEE/ION Position, Location and Navigation Symposium","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115072697","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}

引用次数: 61

Use of a new pedometric dead reckoning module in GPS denied environments 在GPS拒绝环境中使用一种新的计步器航位推算模块

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570048

T. Judd, T. Vu

引用次数: 26

Robust DLL discrimination functions normalization in GNSS receivers GNSS接收机的鲁棒DLL判别函数归一化

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570087

D. Borio, M. Fantino, L. Lo Presti, M. Pini

引用次数: 10

Performance analysis and integrity aspects of Tight Optical Integration (TOI) with GPS GPS紧密光学集成(TOI)的性能分析与完整性

2008 IEEE/ION Position, Location and Navigation Symposium Pub Date : 2008-05-05 DOI: 10.1109/PLANS.2008.4570066

M. Uijt de Haag, Zhen Zhu, T. Arthur

{"title":"Performance analysis and integrity aspects of Tight Optical Integration (TOI) with GPS","authors":"M. Uijt de Haag, Zhen Zhu, T. Arthur","doi":"10.1109/PLANS.2008.4570066","DOIUrl":"https://doi.org/10.1109/PLANS.2008.4570066","url":null,"abstract":"This paper evaluates the performance of the tight integration of GPS and optical sensors such as digital vision cameras. The paper furthermore addresses certain integrity aspects of the proposed Tight Optical Integration (TOI) method. Target applications for the proposed system include the operation of UAVs in an urban environment for both civil and military applications. A regular unaided GPS position solution requires at least four satellites. However, in an urban canyon it is likely to have fewer than four GPS satellites at certain locations due to satellite signal blockage and degradation. Augmentation of GPS with measurements from other sensors is thus required for a reliable navigation capability in an urban environment. TOI integrates range measurements from the available GPS satellites (usually less than four) with feature data from a regular camera to form position estimates. If a building blocks a GPS satellite, markers or features on that building can be located and used as an \"optical pseudolite.\" Unlike pseudolite or laser range scanner measurements, no range information is required from the optical sensor. Instead, the TOI algorithm takes the estimated azimuth and elevation of the marker to form an equivalent direction cosine for this marker. Then, these direction cosines are combined with range measurements from GPS satellites in a weighted least square solution. The current implementation of the TOI method forms linearized camera equations together with the linearized GPS equations and solves for the solution iteratively similarly to a regular GPS only solution. Inertial sensors are used to transform direction cosines from the camera frame to the GPS frame.","PeriodicalId":446381,"journal":{"name":"2008 IEEE/ION Position, Location and Navigation Symposium","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130316864","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}

引用次数: 4