Galileo-based space–airborne bistatic SAR for UAS navigation

Renga, Alfredo; Graziano, Maria Daniela; D’Errico, Marco; Moccia, Antonio; Menichino, Flavio; Vetrella, S.; Accardo, Domenico; Corraro, Federico; Cuciniello, Giovanni; Nebula, Francesco; Monte, Luca del

doi:10.1016/j.ast.2012.08.009

Cited by 10 publications

(3 citation statements)

References 23 publications

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“…With the progress of science and technology, humans' willingness to explore space and develop resources is increasing [1][2][3][4][5][6][7]. As is known, there are many rare resources in deep space, and there may even be an adaptive environment supporting life on the earth, and humans are attracted to go into action.…”

Section: Introductionmentioning

confidence: 99%

Modification of MTEA-Based Temperature Drift Error Compensation Model for MEMS-Gyros

Wen²,

Liu

et al. 2020

Sensors

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The conventional temperature drift error (TDE) compensation model cannot decouple temperature dependence of Si-based materials because temperature correlated quantities (TCQ) have not been obtained comprehensively, and Micro-Electro-Mechanical System gyros’ (MEMS-gyros’) environmental adaptability is reduced in diverse, complicated conditions. The study presents modification of TDE compensation model of MEMS-gyros based on microstructure thermal effect analysis (MTEA). First, Si-based materials’ temperature dependence was studied in microstructure with thermal expansion effect and TCQ that determines the structural deformation were extracted to modify the conventional model, including temperature variation and its square. Second, a precise TDE test method was formed by analyzing heat conduction process between MEMS-gyros and thermal chamber, and temperature experiments were designed and conducted. Third, the modified model’s parameters were identified based on radical basis function artificial neural network (RBF ANN) and its performance was evaluated. Last, the conventional and modified models were compared in performance. The experimental results show MEMS-gyros’ bias stability was up to 10% of the conventional model, the temperature dependence of Si-based materials was decoupled better by the modified one and the environmental adaptability of MEMS-gyros was improved to expand their application in diverse complicated conditions.

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Section: Introductionmentioning

confidence: 99%

Modification of MTEA-Based Temperature Drift Error Compensation Model for MEMS-Gyros

Wen²,

Liu

et al. 2020

Sensors

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“…In recent years, several innovative solutions for transport systems have been developed, such as Unmanned Aircraft Systems, Unmanned Underwater Systems, Autonomous Ships, Autonomous Land Vehicles, Micro Satellites, and Space Probes [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ]. These systems have two main features in common, such as the need to exploit compact configurations for the onboard equipment and the capability to perform autonomous operations for a large part of a mission [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

An Innovative Strategy for Accurate Thermal Compensation of Gyro Bias in Inertial Units by Exploiting a Novel Augmented Kalman Filter

Fontanella

Accardo

Moriello

et al. 2018

Sensors

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This paper presents an innovative model for integrating thermal compensation of gyro bias error into an augmented state Kalman filter. The developed model is applied in the Zero Velocity Update filter for inertial units manufactured by exploiting Micro Electro-Mechanical System (MEMS) gyros. It is used to remove residual bias at startup. It is a more effective alternative to traditional approach that is realized by cascading bias thermal correction by calibration and traditional Kalman filtering for bias tracking. This function is very useful when adopted gyros are manufactured using MEMS technology. These systems have significant limitations in terms of sensitivity to environmental conditions. They are characterized by a strong correlation of the systematic error with temperature variations. The traditional process is divided into two separated algorithms, i.e., calibration and filtering, and this aspect reduces system accuracy, reliability, and maintainability. This paper proposes an innovative Zero Velocity Update filter that just requires raw uncalibrated gyro data as input. It unifies in a single algorithm the two steps from the traditional approach. Therefore, it saves time and economic resources, simplifying the management of thermal correction process. In the paper, traditional and innovative Zero Velocity Update filters are described in detail, as well as the experimental data set used to test both methods. The performance of the two filters is compared both in nominal conditions and in the typical case of a residual initial alignment bias. In this last condition, the innovative solution shows significant improvements with respect to the traditional approach. This is the typical case of an aircraft or a car in parking conditions under solar input.

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“…Note that in Cases A and B the synthetic aperture times are determined by the transmitter, but in Case C it is determined by the receiver. We can notice that the transmitting signal can be available for a short time span due to the large speed difference between the transmitter and the receiver [33,34]. This disadvantage can be overcome by using a dedicated illuminating system such as a modified version of GNSS and a constellation of low Earth orbit (LEO) satellites.…”

Section: Doppler Characteristicsmentioning

confidence: 99%

Azimuth-Variant Signal Processing in High-Altitude Platform Passive SAR with Spaceborne/Airborne Transmitter

Wang

Shao

2013

Remote Sensing

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High-altitude platforms (HAP) or near-space vehicle offers several advantages over current low earth orbit (LEO) satellite and airplane, because HAP is not constrained by orbital mechanics and fuel consumption. These advantages provide potential for some specific remote sensing applications that require persistent monitoring or fast-revisiting frequency. This paper investigates the azimuth-variant signal processing in HAP-borne bistatic synthetic aperture radar (BiSAR) with spaceborne or airborne transmitter for high-resolution remote sensing. The system configuration, azimuth-variant Doppler characteristics and two-dimensional echo spectrum are analyzed. Conceptual system simulation results are also provided. Since the azimuth-variant BiSAR geometry brings a challenge for developing high precision data processing algorithms, we propose an image formation algorithm using equivalent velocity and nonlinear chirp scaling (NCS) to address the azimuth-variant signal processing problem. The proposed algorithm is verified by numerical simulation results.

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Galileo-based space–airborne bistatic SAR for UAS navigation

Cited by 10 publications

References 23 publications

Modification of MTEA-Based Temperature Drift Error Compensation Model for MEMS-Gyros

Modification of MTEA-Based Temperature Drift Error Compensation Model for MEMS-Gyros

An Innovative Strategy for Accurate Thermal Compensation of Gyro Bias in Inertial Units by Exploiting a Novel Augmented Kalman Filter

Azimuth-Variant Signal Processing in High-Altitude Platform Passive SAR with Spaceborne/Airborne Transmitter

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