E.J.O. Schrama
Please Note
21 records found
1
Here, we present the VISTA mission concept. The mission concept proposes a solution to long-endurance aerobot flight on Venus through the use of in situ nitrogen extraction. The nitrogen content of the Venusian atmosphere in the convective cloud layer (50-60 km altitude) is about 3.5%. Obtaining nitrogen from the atmosphere can potentially provide a long-term supply of lifting gas, solving the unavoidable problem of lifting gas leakage. Greatly extended potential mission duration allows for much more extensive studies of the large scale wind patterns and detailed investigations of the atmosphere through time. It also enables the study of Venus’ interior, including detection of rare seismic events. The present work proposes a detailed mission concept for a long-term balloon-based aerobot that aims to uncover the mysteries of Venus. ...
Here, we present the VISTA mission concept. The mission concept proposes a solution to long-endurance aerobot flight on Venus through the use of in situ nitrogen extraction. The nitrogen content of the Venusian atmosphere in the convective cloud layer (50-60 km altitude) is about 3.5%. Obtaining nitrogen from the atmosphere can potentially provide a long-term supply of lifting gas, solving the unavoidable problem of lifting gas leakage. Greatly extended potential mission duration allows for much more extensive studies of the large scale wind patterns and detailed investigations of the atmosphere through time. It also enables the study of Venus’ interior, including detection of rare seismic events. The present work proposes a detailed mission concept for a long-term balloon-based aerobot that aims to uncover the mysteries of Venus.
Triple-Satellite Geolocation from Low Earth Orbit in a Multi-Emitter GNSS Interference Environment
A Parametric System Analysis
Two geolocation approaches are compared. The first estimates emitter positions directly from received I/Q data. The second first extracts receiver-differenced observables and then estimates position from FDOA measurements. These approaches are referred to as direct and indirect geolocation. A parametric simulation framework is developed to model the satellite formation, jammer signals, receiver data, and main error sources. A CRLB analysis is used to study the design space.
The results show that both approaches can achieve sub-kilometer per-emitter accuracy. In Scenario 1, the direct method reaches a mean error of 502m, while the indirect method reaches 143m. In Scenario 2, the corresponding values are 517m and 292m. The indirect method also provides precision estimates through 95\% confidence ellipses. Its main advantage is computational cost. It is about 900 times faster per snapshot in the reported implementation.
The results also show that a tight formation is preferred. It maximizes the shared field of view while keeping enough geometric diversity. The FDOA loop-closure constraint is found to be essential. It rejects false candidates and makes indirect geolocation practical in a multi-emitter setting.
This thesis concludes that FDOA-based indirect geolocation with a tight three-satellite LEO formation is the most suitable option for low-latency wide-area GNSS interference geolocation within the considered scope. Future work should validate the method with more scenarios or real satellite data. ...
Two geolocation approaches are compared. The first estimates emitter positions directly from received I/Q data. The second first extracts receiver-differenced observables and then estimates position from FDOA measurements. These approaches are referred to as direct and indirect geolocation. A parametric simulation framework is developed to model the satellite formation, jammer signals, receiver data, and main error sources. A CRLB analysis is used to study the design space.
The results show that both approaches can achieve sub-kilometer per-emitter accuracy. In Scenario 1, the direct method reaches a mean error of 502m, while the indirect method reaches 143m. In Scenario 2, the corresponding values are 517m and 292m. The indirect method also provides precision estimates through 95\% confidence ellipses. Its main advantage is computational cost. It is about 900 times faster per snapshot in the reported implementation.
The results also show that a tight formation is preferred. It maximizes the shared field of view while keeping enough geometric diversity. The FDOA loop-closure constraint is found to be essential. It rejects false candidates and makes indirect geolocation practical in a multi-emitter setting.
This thesis concludes that FDOA-based indirect geolocation with a tight three-satellite LEO formation is the most suitable option for low-latency wide-area GNSS interference geolocation within the considered scope. Future work should validate the method with more scenarios or real satellite data.
...
An important aspect of this model is the set of dynamics used to solve for the state transition and sensitivity matrices, which describe the change in orbital state that can be achieved by an earlier change in the orbital state or dynamic parameters. In this work, an approximation of these state transition and sensitivity matrices was investigated, based on the Hill-Clohessy-Wiltshire equations of relative orbital motion. We show that these approximations result in significant computational savings and that they are compatible with centimetre-level orbit determination. ...
An important aspect of this model is the set of dynamics used to solve for the state transition and sensitivity matrices, which describe the change in orbital state that can be achieved by an earlier change in the orbital state or dynamic parameters. In this work, an approximation of these state transition and sensitivity matrices was investigated, based on the Hill-Clohessy-Wiltshire equations of relative orbital motion. We show that these approximations result in significant computational savings and that they are compatible with centimetre-level orbit determination.
Sentinel-6: Potential for Ocean Swell Detection
Effect of onboard data compression on geophysical parameter retrieval, a data driven analysis
Currently, swell measurements are obtained through in-situ measurements, wave models, and satellite measurements. So far, swell wave parameters have been retrieved from orbit using optical instruments, imaging radars and wave spectrometers. The potential to retrieve swell wave spectra from radar altimeters was recently demonstrated using fully focused synthetic aperture radar (FFSAR) signal processing.
Sentinel-6 (S6) would be a good candidate for investigating the potential of swell parameter retrieval, however, no study has been performed regarding the impact that the on- board data compression/ waveform truncation mode of S6 could have on the retrieval of swell parameters. Swell wave period estimates were thus derived from the raw and compressed S6 FFSAR waveforms collected over a study area in the Channel Islands of California during a 22 month- period. A performance analysis was carried out comparing the period estimate pairs from a given timestamp with the records obtained by a buoy in the study area at the same time.
The study demonstrated the presence of differences in the performance of swell period retrieval for the different operating modes of S6. It was found that swell period estimates can be derived also from the compressed waveform signal, obtaining however a lower accuracy compared to raw waveforms. ...
Currently, swell measurements are obtained through in-situ measurements, wave models, and satellite measurements. So far, swell wave parameters have been retrieved from orbit using optical instruments, imaging radars and wave spectrometers. The potential to retrieve swell wave spectra from radar altimeters was recently demonstrated using fully focused synthetic aperture radar (FFSAR) signal processing.
Sentinel-6 (S6) would be a good candidate for investigating the potential of swell parameter retrieval, however, no study has been performed regarding the impact that the on- board data compression/ waveform truncation mode of S6 could have on the retrieval of swell parameters. Swell wave period estimates were thus derived from the raw and compressed S6 FFSAR waveforms collected over a study area in the Channel Islands of California during a 22 month- period. A performance analysis was carried out comparing the period estimate pairs from a given timestamp with the records obtained by a buoy in the study area at the same time.
The study demonstrated the presence of differences in the performance of swell period retrieval for the different operating modes of S6. It was found that swell period estimates can be derived also from the compressed waveform signal, obtaining however a lower accuracy compared to raw waveforms.
Regular products within the field of Space Surveillance and Tracking (SST) and Space Traffic Management (STM), such as high-risk collisions, upcoming re-entries or fragmentations, rely both on the estimated state and associated uncertainty of detectable Resident Space Objects (RSOs). Orbit Determination (OD) algorithms provide the required estimations, assuming that the uncertainty in the state of the object is properly characterized by its state vector covariance and assuming Gaussian processes. However, a common problem of OD processes is the misrepresentation of the RSOs uncertainty through the estimated and predicted covariance. Ultimately, this causes a great impact in the quality and accuracy of SST products as the covariance is overly optimistic (too small) and the true uncertainty of the object is not properly captured. The aim of this work is to devise a novel methodology to improve the covariance realism of OD and orbit propagation processes through the classical theory of consider parameters of batch least-squares estimators. The outcome of this project is a software application integrated as part of the GMV’s SST software suite that can deliver efficient and effective covariance realism improvement for a more accurate provision of SST products. ...
Regular products within the field of Space Surveillance and Tracking (SST) and Space Traffic Management (STM), such as high-risk collisions, upcoming re-entries or fragmentations, rely both on the estimated state and associated uncertainty of detectable Resident Space Objects (RSOs). Orbit Determination (OD) algorithms provide the required estimations, assuming that the uncertainty in the state of the object is properly characterized by its state vector covariance and assuming Gaussian processes. However, a common problem of OD processes is the misrepresentation of the RSOs uncertainty through the estimated and predicted covariance. Ultimately, this causes a great impact in the quality and accuracy of SST products as the covariance is overly optimistic (too small) and the true uncertainty of the object is not properly captured. The aim of this work is to devise a novel methodology to improve the covariance realism of OD and orbit propagation processes through the classical theory of consider parameters of batch least-squares estimators. The outcome of this project is a software application integrated as part of the GMV’s SST software suite that can deliver efficient and effective covariance realism improvement for a more accurate provision of SST products.
Tracking Ballistic Vehicles during Boost
Development and Performance Analysis of Tracking Filter Algorithms
CNES/IDS releases DORIS tracking data in two formats for CryoSat-2. One is the raw format called RINEX and other is the pre-processed Doppler format called version 2.2. V2.2 data contains all information necessary for straightforward usage in orbit determination - measurements time-tagged in TAI, range-rate measurements, ionospheric correction, tropospheric correction, antenna corrections and flags that indicate unusable measurements. RINEX does not contain any corrections and has the phase and pseudorange measurements at short latency allowing users to have flexibility in processing. Additionally, data required for formulating the corrections are present in RINEX. For missions in and after 2016, CNES/IDS supplies tracking data only in RINEX and not in V2.2. Analysis centres using DORIS data now have to independently develop processing strategies to process RINEX data. This problem is the main objective of this research. In this thesis, a pre-processor called RX2RR (RINEX to Range-Rate) has been built in Fortran in an attempt to process the raw data and compute all the necessary corrections. RX2RR converts RINEX format to a format exactly similar to V2.2 such that RINEX can now be used in any orbit determination tool that has been previously using V2.2. In this processor, clock synchronisation of on-board clock to International Atomic Time is performed. A new approach of utilizing Meteorological data in RINEX for troposphere delay corrections is implemented. Use of real time data from numerical weather models is also presented for tropospheric correction. Ionospheric delay and antenna phase centre corrections are performed using iono-free phase centre. An editing strategy to remove outliers in Doppler data is implemented and tested. To demonstrate the performance of the tool, we perform orbit determination using NASA Goddard Space Flight Center’s orbit computation software GEODYN-II. We use RX2RR processed RINEX data and CNES processed V2.2 data of CryoSat-2 for year 2016. Tracking residuals from both POD runs are compared and average difference in R.M.S residual is found to be approximately 0.011 mm/s over a year. This validates that the corrections are formulated and implemented correctly. The result proves our capability to process the RINEX measurements independently and the tool developed has extended the capability of GEODYN-II to process RINEX observations from DORIS system. ...
CNES/IDS releases DORIS tracking data in two formats for CryoSat-2. One is the raw format called RINEX and other is the pre-processed Doppler format called version 2.2. V2.2 data contains all information necessary for straightforward usage in orbit determination - measurements time-tagged in TAI, range-rate measurements, ionospheric correction, tropospheric correction, antenna corrections and flags that indicate unusable measurements. RINEX does not contain any corrections and has the phase and pseudorange measurements at short latency allowing users to have flexibility in processing. Additionally, data required for formulating the corrections are present in RINEX. For missions in and after 2016, CNES/IDS supplies tracking data only in RINEX and not in V2.2. Analysis centres using DORIS data now have to independently develop processing strategies to process RINEX data. This problem is the main objective of this research. In this thesis, a pre-processor called RX2RR (RINEX to Range-Rate) has been built in Fortran in an attempt to process the raw data and compute all the necessary corrections. RX2RR converts RINEX format to a format exactly similar to V2.2 such that RINEX can now be used in any orbit determination tool that has been previously using V2.2. In this processor, clock synchronisation of on-board clock to International Atomic Time is performed. A new approach of utilizing Meteorological data in RINEX for troposphere delay corrections is implemented. Use of real time data from numerical weather models is also presented for tropospheric correction. Ionospheric delay and antenna phase centre corrections are performed using iono-free phase centre. An editing strategy to remove outliers in Doppler data is implemented and tested. To demonstrate the performance of the tool, we perform orbit determination using NASA Goddard Space Flight Center’s orbit computation software GEODYN-II. We use RX2RR processed RINEX data and CNES processed V2.2 data of CryoSat-2 for year 2016. Tracking residuals from both POD runs are compared and average difference in R.M.S residual is found to be approximately 0.011 mm/s over a year. This validates that the corrections are formulated and implemented correctly. The result proves our capability to process the RINEX measurements independently and the tool developed has extended the capability of GEODYN-II to process RINEX observations from DORIS system.
A Military satellite terminal for S&F
To design and test a nationally owned satellite terminal to perform S&F operations
stated: “show the military relevance of Nano Satellites". A feasibility study was conducted and the realisation of the first satellite, the BRIK-II,was started. One of the payloads of this satellite is a store and forward system. In this thesis work a systems engineering approach towards, requirements definition, design, verification and testing is provided. ...
stated: “show the military relevance of Nano Satellites". A feasibility study was conducted and the realisation of the first satellite, the BRIK-II,was started. One of the payloads of this satellite is a store and forward system. In this thesis work a systems engineering approach towards, requirements definition, design, verification and testing is provided.
Variational Multiple Shooting
Theory and Applications