Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507185
M. Becker, U. Bestmann, A. Schwithal, P. Hecker
The performance of integrated navigation systems not only depends on the quality of the used inertial measurement unit (IMU) and aiding sensor information, but also on the correct observation of the system's state vector. As a classical example, an integration filter shows a good performance if it manages to estimate the sensor errors properly. As the observability varies with the current system states as well as the quality of the aiding information, a meaningful characterization of the system's performance is difficult to obtain. The aim of this paper is to analyze the impact of the influences named above on the observability of the system model that is part of the navigation filter. For linear and linearized systems, e.g. Kalman Filter and Extended Kalman Filter, different measures of observability can be derived from control theory. This paper will show the necessary basic algorithms and methods to evaluate a system's observability. Based on these insights an evaluation of a standard filter model of an integrated navigation system is performed. Therefore, different dynamic conditions as well as aiding information are taken into account. The main focus of this work lies on the examination of real flight data and correlation between system states and their observability. Based on these investigations this paper presents a detailed view on the assessment and first results towards a better characterization of IMU performance.
{"title":"Observability of integrated navigation system states under varying dynamic conditions and aiding techniques","authors":"M. Becker, U. Bestmann, A. Schwithal, P. Hecker","doi":"10.1109/PLANS.2010.5507185","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507185","url":null,"abstract":"The performance of integrated navigation systems not only depends on the quality of the used inertial measurement unit (IMU) and aiding sensor information, but also on the correct observation of the system's state vector. As a classical example, an integration filter shows a good performance if it manages to estimate the sensor errors properly. As the observability varies with the current system states as well as the quality of the aiding information, a meaningful characterization of the system's performance is difficult to obtain. The aim of this paper is to analyze the impact of the influences named above on the observability of the system model that is part of the navigation filter. For linear and linearized systems, e.g. Kalman Filter and Extended Kalman Filter, different measures of observability can be derived from control theory. This paper will show the necessary basic algorithms and methods to evaluate a system's observability. Based on these insights an evaluation of a standard filter model of an integrated navigation system is performed. Therefore, different dynamic conditions as well as aiding information are taken into account. The main focus of this work lies on the examination of real flight data and correlation between system states and their observability. Based on these investigations this paper presents a detailed view on the assessment and first results towards a better characterization of IMU performance.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86386028","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507210
Yao-Cheng Lin, Shau-Shiun Jan
An acquisition method is proposed which increases the capacity of channels and reduces the processing time to acquire multiple GNSS satellites simultaneously. A linear composite method is designed to synthesize a local replica which combines GPS L1 C/A code and Galileo BOC(1,1) code. The simulation results validate the proposed method and the experimental results are found to be consistent with the simulation results.
{"title":"Linear composite code acquisition method for GNSS","authors":"Yao-Cheng Lin, Shau-Shiun Jan","doi":"10.1109/PLANS.2010.5507210","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507210","url":null,"abstract":"An acquisition method is proposed which increases the capacity of channels and reduces the processing time to acquire multiple GNSS satellites simultaneously. A linear composite method is designed to synthesize a local replica which combines GPS L1 C/A code and Galileo BOC(1,1) code. The simulation results validate the proposed method and the experimental results are found to be consistent with the simulation results.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87590611","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507277
Jong Ki Lee, Dana J. Cacamise, C. Jekeli
It is widely known fact that the precise position and orientation is necessary for the UXO detection and discrimination. The primary geolocation system is a dual-frequency GPS receiver integrated with a three dimensional inertial measurement unit (IMU). This study focused on the optimal data processing techniques (wavelet de-noising, nonlinear based filtering, post-processing smoothing) which have been developed and proposed for the high precise geolocation of IMU/GPS system. We mounted two IMUs (HG1700 and HG1900) and one GPS receiver on NRL's vehicle-towed system which already has three Trimble GPS and one IMU (Crossbow 400C). The positions from HG1700 and HG1900 are estimated between control points separated in time by 2 and 4 seconds and compared to 1 Hz GPS control.
{"title":"The precise INS/GPS geolocation of a vehicle-towed UXO detection system","authors":"Jong Ki Lee, Dana J. Cacamise, C. Jekeli","doi":"10.1109/PLANS.2010.5507277","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507277","url":null,"abstract":"It is widely known fact that the precise position and orientation is necessary for the UXO detection and discrimination. The primary geolocation system is a dual-frequency GPS receiver integrated with a three dimensional inertial measurement unit (IMU). This study focused on the optimal data processing techniques (wavelet de-noising, nonlinear based filtering, post-processing smoothing) which have been developed and proposed for the high precise geolocation of IMU/GPS system. We mounted two IMUs (HG1700 and HG1900) and one GPS receiver on NRL's vehicle-towed system which already has three Trimble GPS and one IMU (Crossbow 400C). The positions from HG1700 and HG1900 are estimated between control points separated in time by 2 and 4 seconds and compared to 1 Hz GPS control.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80387733","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507282
V. Indelman, P. Gurfil, E. Rivlin, H. Rotstein
The on-line construction of an image mosaic or panorama can be exploited to aid the navigation system of an airborne platform. The purpose of the paper is threefold. First, the paper presents some of the tools required for computing a mosaic and using the information collected as a side product within a navigation filter. These tools include a special variation of the Kalman filter and a new formulation of the tri-focal tensor from multi-frame vision. Second, the paper summarizes a general method for fusing the motion information obtained during the mosaicking process and also shows how “loop-closure” can be used to preserve navigation errors at their initial levels. Third, the paper discusses a number of illustrative examples to show how mosaic aiding can indeed result in a substantial improvement of the navigation solution.
{"title":"Mosaic aided navigation: Tools, methods and results","authors":"V. Indelman, P. Gurfil, E. Rivlin, H. Rotstein","doi":"10.1109/PLANS.2010.5507282","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507282","url":null,"abstract":"The on-line construction of an image mosaic or panorama can be exploited to aid the navigation system of an airborne platform. The purpose of the paper is threefold. First, the paper presents some of the tools required for computing a mosaic and using the information collected as a side product within a navigation filter. These tools include a special variation of the Kalman filter and a new formulation of the tri-focal tensor from multi-frame vision. Second, the paper summarizes a general method for fusing the motion information obtained during the mosaicking process and also shows how “loop-closure” can be used to preserve navigation errors at their initial levels. Third, the paper discusses a number of illustrative examples to show how mosaic aiding can indeed result in a substantial improvement of the navigation solution.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80449491","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507241
S. Shin, M. Lee, Chan Gook Park, H. Hong
In this paper we present a PDR (Pedestrian Dead Reckoning) system with a phone location awareness algorithm. PDR is a device which provides position information of the pedestrian. In general, the step length is estimated using a linear combination of the walking frequency and the acceleration variance for the mobile phone. It means that the step length estimation accuracy is affected by coefficients of the walking frequency and the acceleration variance which are called step length estimation parameters. Developed PDR is assumed that it is embedded in the mobile phone. Thus, parameters can be different from each phone location such as hand with swing motion, hand without any motion and pants pocket. It means that different parameters can degrade the accuracy of the step length estimation. Step length estimation result can be improved when appropriate parameters which are determined by phone location awareness algorithm are used. In this paper, the phone location awareness algorithm for PDR is proposed.
{"title":"Pedestrian dead reckoning system with phone location awareness algorithm","authors":"S. Shin, M. Lee, Chan Gook Park, H. Hong","doi":"10.1109/PLANS.2010.5507241","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507241","url":null,"abstract":"In this paper we present a PDR (Pedestrian Dead Reckoning) system with a phone location awareness algorithm. PDR is a device which provides position information of the pedestrian. In general, the step length is estimated using a linear combination of the walking frequency and the acceleration variance for the mobile phone. It means that the step length estimation accuracy is affected by coefficients of the walking frequency and the acceleration variance which are called step length estimation parameters. Developed PDR is assumed that it is embedded in the mobile phone. Thus, parameters can be different from each phone location such as hand with swing motion, hand without any motion and pants pocket. It means that different parameters can degrade the accuracy of the step length estimation. Step length estimation result can be improved when appropriate parameters which are determined by phone location awareness algorithm are used. In this paper, the phone location awareness algorithm for PDR is proposed.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81683555","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507139
D. Lăpădatu, Bjorn Blixhavn, R. Holm, T. Kvisterøy
This paper describes a novel high-precision, low-noise, high-stability, calibrated and compensated digital oscillatory gyroscope with SPI interface, housed in custom-made ceramic packages. The device is factory-calibrated and compensated for temperature effects to provide high-accuracy digital output over a broad temperature range. Optimized tuning of the excitation and detection frequencies, as well as optimized mechanical and electrical balancing result in low sensitivity to shock and vibrations. By utilizing a unique sealed cavity technology, the vibrating elements of the gyroscope are contained within the low-pressure hermetic environment needed for high Q factors. Further on, improved stability of the device is achieved by full design symmetry, high thermal efficiency and choice of crystalline materials in the entire structure.
{"title":"SAR500 - A high-precision high-stability butterfly gyroscope with north seeking capability","authors":"D. Lăpădatu, Bjorn Blixhavn, R. Holm, T. Kvisterøy","doi":"10.1109/PLANS.2010.5507139","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507139","url":null,"abstract":"This paper describes a novel high-precision, low-noise, high-stability, calibrated and compensated digital oscillatory gyroscope with SPI interface, housed in custom-made ceramic packages. The device is factory-calibrated and compensated for temperature effects to provide high-accuracy digital output over a broad temperature range. Optimized tuning of the excitation and detection frequencies, as well as optimized mechanical and electrical balancing result in low sensitivity to shock and vibrations. By utilizing a unique sealed cavity technology, the vibrating elements of the gyroscope are contained within the low-pressure hermetic environment needed for high Q factors. Further on, improved stability of the device is achieved by full design symmetry, high thermal efficiency and choice of crystalline materials in the entire structure.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89489526","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507242
G. Retscher, Q. Fu
Some navigation applications, such as the navigation of blind users, require that a continuous positioning is performed in combined outdoor urban and indoor environments with a certain positioning accuracy. For outdoor urban environments usually GNSS and dead reckoning are employed and has proven to be satisfactory. In indoor environments, however, absolute position determination with an accuracy in the range of 1 to 2 meters is still very challenging. For indoor location determination, a number of different positioning methods have been developed. In our approach, Radio Frequency Identification (RFID) has been selected and investigated. Using RFID most commonly cell-based positioning is performed. Apart from that we have also investigated trilateration and location fingerprinting based on signal strength measurements (i.e., RSSI short for Received Signal Strength Indication) from the RFID tags in the surrounding environment. The disadvantage of these two positioning methods, however, is the required calibration in the off-line or training phase to deduce ranges to the tags from the RSSI measurements in the case of trilateration or the establishment of the RSSI database at known locations throughout the building in the case of location fingerprinting. Therefore we have developed a new location method based on cell-based positioning which makes use of the measured RSSI in the on-line or positioning phase, i.e., the so-called time-based Cell-of-Origin (CoO). Two modifications have been implemented in comparison to common CoO and will be discussed in the paper. The new approach was then be tested in an indoor environment in an office building of the Vienna University of Technology. It could be seen that for a combined positioning of RFID time-based CoO and a low-cost MEMS-based INS positioning accuracies on the 1 to 2 meter level can be achieved. The different experiments performed in the test bed are described and discussed in this contribution.
{"title":"Continuous indoor navigation with RFID and INS","authors":"G. Retscher, Q. Fu","doi":"10.1109/PLANS.2010.5507242","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507242","url":null,"abstract":"Some navigation applications, such as the navigation of blind users, require that a continuous positioning is performed in combined outdoor urban and indoor environments with a certain positioning accuracy. For outdoor urban environments usually GNSS and dead reckoning are employed and has proven to be satisfactory. In indoor environments, however, absolute position determination with an accuracy in the range of 1 to 2 meters is still very challenging. For indoor location determination, a number of different positioning methods have been developed. In our approach, Radio Frequency Identification (RFID) has been selected and investigated. Using RFID most commonly cell-based positioning is performed. Apart from that we have also investigated trilateration and location fingerprinting based on signal strength measurements (i.e., RSSI short for Received Signal Strength Indication) from the RFID tags in the surrounding environment. The disadvantage of these two positioning methods, however, is the required calibration in the off-line or training phase to deduce ranges to the tags from the RSSI measurements in the case of trilateration or the establishment of the RSSI database at known locations throughout the building in the case of location fingerprinting. Therefore we have developed a new location method based on cell-based positioning which makes use of the measured RSSI in the on-line or positioning phase, i.e., the so-called time-based Cell-of-Origin (CoO). Two modifications have been implemented in comparison to common CoO and will be discussed in the paper. The new approach was then be tested in an indoor environment in an office building of the Vienna University of Technology. It could be seen that for a combined positioning of RFID time-based CoO and a low-cost MEMS-based INS positioning accuracies on the 1 to 2 meter level can be achieved. The different experiments performed in the test bed are described and discussed in this contribution.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89751698","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507316
João Reis, J. Sanguino, A. Rodrigues
When using the signal from the Global Positioning System for precise estimation of the heading of a vehicle, the main challenge is finding the integer ambiguities that the carrier phase measurements contain. Using the known distance between the antennas, this process may return improved results, which can be even further enhanced if careful selection of observable data, the measurement from each satellite, is applied. This paper presents a study of the overall influence of the number of used observables in the precision and stability of the heading estimation solution. The presented conclusions provide clear guidance on how to elect which observables are the most beneficial to the solution.
{"title":"Impact of satellite coverage in single-frequency precise heading determination","authors":"João Reis, J. Sanguino, A. Rodrigues","doi":"10.1109/PLANS.2010.5507316","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507316","url":null,"abstract":"When using the signal from the Global Positioning System for precise estimation of the heading of a vehicle, the main challenge is finding the integer ambiguities that the carrier phase measurements contain. Using the known distance between the antennas, this process may return improved results, which can be even further enhanced if careful selection of observable data, the measurement from each satellite, is applied. This paper presents a study of the overall influence of the number of used observables in the precision and stability of the heading estimation solution. The presented conclusions provide clear guidance on how to elect which observables are the most beneficial to the solution.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74706130","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507250
L. Haas, M. Harlacher
The Synthetic Aperture Navigation (SAN) signal processing algorithm identifies the desired line of sight (LOS) signal component by exploiting user motion. As implied by the name, it forms a synthetic aperture along the user trajectory by taking multiple snapshots of signal correlation with the replica waveform over some period of time as the user moves. The synthetic aperture serves as an array, which enables beamforming with a single-element antenna. Fundamentally, this method discriminates between different signal components (e.g., line of sight and multipath) by their directions of arrival. SAN places the antenna array gain on the desired signal component and places nulls on all other components. This operation is applied to data from all correlators in the receiver, thus effectively providing the receiver discriminator with nearly multipath-free measurements. SAN is even able to produce a quality line of sight (LOS) measurement when the LOS component is much weaker than multipath.
{"title":"First responder location and tracking using Synthetic Aperture Navigation","authors":"L. Haas, M. Harlacher","doi":"10.1109/PLANS.2010.5507250","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507250","url":null,"abstract":"The Synthetic Aperture Navigation (SAN) signal processing algorithm identifies the desired line of sight (LOS) signal component by exploiting user motion. As implied by the name, it forms a synthetic aperture along the user trajectory by taking multiple snapshots of signal correlation with the replica waveform over some period of time as the user moves. The synthetic aperture serves as an array, which enables beamforming with a single-element antenna. Fundamentally, this method discriminates between different signal components (e.g., line of sight and multipath) by their directions of arrival. SAN places the antenna array gain on the desired signal component and places nulls on all other components. This operation is applied to data from all correlators in the receiver, thus effectively providing the receiver discriminator with nearly multipath-free measurements. SAN is even able to produce a quality line of sight (LOS) measurement when the LOS component is much weaker than multipath.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80711339","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}
Pub Date : 2010-05-04DOI: 10.1109/PLANS.2010.5507213
K. Sun, L. Presti
In this paper, the problem of acquiring new composite Global Navigation Satellite System (GNSS) signals of the next generation systems (such as Galileo and GPS modernization) is addressed and analyzed, focusing the majority of the attention to the problem of managing the higher sign reversal transition rate due to the navigation message in the data channel and to the secondary code in the pilot channel. It must be considered that in case of the Galileo E1 Open Service (OS) signals, in each period of the primary spreading sequence the presence of a potential sign reversal can reduce the correlation gain. Moreover, the sign transition present on the block of samples being processed produces a Cross Ambiguity Function (CAF) peak splitting along the Doppler axis of the search space matrix constructed during the acquisition stage and it may lead to a wrong Doppler estimate. Here, a new two steps acquisition method has been proposed in order to cope with the CAF peak impairments. Due to the availability of data and pilot components separately broadcast in the new composite GNSS signals, in order to overcome the power loss problem and also to mitigate the CAF peak splitting impairments, novel non-coherent and differentially coherent channels combining techniques based on two steps acquisition scheme have been proposed for jointly combining data and pilot components to recover all the transmitted power from both channels. The proposed two steps channels combining acquisition techniques have been deeply characterized from a statistical point of view. Monte Carlo simulation campaigns have been performed on the simulated Galileo E1 OS signals to evaluate the performances of the proposed acquisition techniques in order to support the theoretical analysis.
{"title":"Channels combining techniques for a novel two steps acquisition of new composite GNSS signals in presence of bit sign transitions","authors":"K. Sun, L. Presti","doi":"10.1109/PLANS.2010.5507213","DOIUrl":"https://doi.org/10.1109/PLANS.2010.5507213","url":null,"abstract":"In this paper, the problem of acquiring new composite Global Navigation Satellite System (GNSS) signals of the next generation systems (such as Galileo and GPS modernization) is addressed and analyzed, focusing the majority of the attention to the problem of managing the higher sign reversal transition rate due to the navigation message in the data channel and to the secondary code in the pilot channel. It must be considered that in case of the Galileo E1 Open Service (OS) signals, in each period of the primary spreading sequence the presence of a potential sign reversal can reduce the correlation gain. Moreover, the sign transition present on the block of samples being processed produces a Cross Ambiguity Function (CAF) peak splitting along the Doppler axis of the search space matrix constructed during the acquisition stage and it may lead to a wrong Doppler estimate. Here, a new two steps acquisition method has been proposed in order to cope with the CAF peak impairments. Due to the availability of data and pilot components separately broadcast in the new composite GNSS signals, in order to overcome the power loss problem and also to mitigate the CAF peak splitting impairments, novel non-coherent and differentially coherent channels combining techniques based on two steps acquisition scheme have been proposed for jointly combining data and pilot components to recover all the transmitted power from both channels. The proposed two steps channels combining acquisition techniques have been deeply characterized from a statistical point of view. Monte Carlo simulation campaigns have been performed on the simulated Galileo E1 OS signals to evaluate the performances of the proposed acquisition techniques in order to support the theoretical analysis.","PeriodicalId":94036,"journal":{"name":"IEEE/ION Position Location and Navigation Symposium : [proceedings]. IEEE/ION Position Location and Navigation Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2010-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80972600","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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