The existing space-based remote sensing has problems such as weak collaboration, slow response, and long links, which cannot meet the application requirements of real-time anomaly detection, recognition, and transmission. This article studies the characteristics of existing surface anomaly classification, establishes a demand matrix for anomaly remote sensing, establishes a new surface anomaly real-time detection system, and proposes a working mode for anomaly real-time recognition, using the constellation system task and information flow design combined with the on-board intelligent processing unit, improve the anomaly recognition and service capability of the space-based system, design the mission flow and information flow of the constellation system, and finally analyze the communication link and timeliness of the system. The simulation analysis results show that the system can achieve minute level efficient anomaly recognition and early warning, effectively improving the service capability to users, this provides an overall idea and architectural reference for the construction of future space-based surface anomaly real-time detection systems.
KEYWORDS: Satellites, Data analysis, Vibration, Design and modelling, Data storage, Data conversion, Data acquisition, Control software, Vibration control, Software development
In order to solve the problem of consuming a lot of time in data analysis, condition formulation and summary report compilation of satellite mechanics test, a set of software for data analysis of satellite mechanics test was developed. Firstly, the system framework is constructed from the process of satellite vibration test. Then, the functions of the software are divided by sorting out each link of the test data analysis. In addition, according to the flow of data in the test, design the engineering data structure. Finally, combined with the characteristics of data interaction and convenient use of the software, a general module of the software is constructed.
Global Navigation Satellite System reflectometry (GNSS-R) technology uses the signal receiver to receive the reflected signal of navigation satellite for ground feature inversion. It has the advantages of wide dynamic range, all day, all weather, light weight and low cost. It has a broad application prospect in the field of remote sensing. On June 5, 2019, China's first group of test satellites carrying GNSS-R payload, BF-1 A/B satellites, was successfully launched on the sea by using CZ-11 carrier rocket. GNSS-R data with high spatial and temporal resolution were obtained during the operation of the satellite in orbit. In order to solve the problem of low accuracy and few methods of GNSS-R inversion of sea surface wind speed, this paper proposes a sea surface wind speed inversion method based on the delay doppler map average (DDMA) of BF-1 satellite. Firstly, the GNSS-R sea surface scattering model is established by using Z-V model and Elfouhaily wave spectrum to verify the relationship between the observation of BF-1 satellite and the change of wind speed, Then, the principle of GNSS-R sea surface wind speed inversion is studied. Through the correction and normalization of observations, the inversion observation DDMA is obtained. Finally, the geophysical model function (GMF) is established by using L1 level satellite data to realize the high-precision inversion of sea surface wind speed. The root mean square (RMS) accuracy of wind speed inversion is 1.81m/s, which is slightly higher than that of CYGNSS when compared with that of CYGNSS at the same time. The experimental results show that the inversion trend of the same region and time is the same, which proves the accuracy and effectiveness of the data processing results, it will also provide support for the follow-up GNSS-R satellite development and the development and optimization of surface wind speed inversion algorithm.
In recent years, the emerging global navigation satellite system reflectometry (GNSS-R) technology has become a research hotspot for its lightweight, high sensitivity and rich technology application scenarios. It has broad application prospects in the field of remote sensing detection and navigation technology. The role of GNSS-R remote sensing satellite in the field of marine remote sensing is becoming increasingly prominent. The acquisition of data and information and the observation performance of GNSS-R remote sensing satellite are not only constrained by the remote sensing equipment itself, but also affected by the satellite orbit. Based on the technical characteristics of GNSS-R remote sensing satellite, this paper proposes a grid based coverage efficiency statistical method, analyzes some influencing factors of GNSS-R remote sensing satellite efficiency based on the remote sensing task, and analyzes the influence of each factor on GNSS-R remote sensing satellite efficiency by modeling -It can provide theoretical reference for GNSS-R satellite orbit selection and optimization, onboard load design optimization and large-scale system construction.
In order to further improve the measurement precision of the star sensor and solve the problem on displacement field construction for on-orbit star sensor mounting bracket. In this paper, star sensor mounting bracket is simplified, and the theoretical formula on the displacement field of the star sensor mounting bracket is constructed based on beam bending theory, curvature recursive method and the least square method. Secondly, fiber Bragg grating sensors are embedded in the key nodes of the star sensor mounting bracket, and the strain of the star sensor mounting bracket is measured by the static test. Then, the displacement field of the star sensor mounting bracket is constructed based on the strain test data, and combined with the theoretical formula for the displacement field. Finally, comparing the measured data of displacement mete with the constructed displacement field values and static simulation results, the feasibility and accuracy of the method on constructing the displacement field of star sensor mounting bracket by using embedded fiber Bragg grating for strain monitoring is further verified.
For medium and low latitudes, the N-hour repeating equatorial orbit is a new option for remote sensing satellites, which can realize multiple revisits per day, and revisit at the same local time revisits on different days. The remote sensing constellation formed by equatorial satellites could easily achieve rapid revisit, or even continuous observation. Therefore, the ground surveillance performance is critical for the system design of equatorial remote sensing constellations. In this paper, the latitude coverage characteristics of equatorial satellites are analyzed. This paper also assesses the constellation size required to achieve continuous observation of targets in different latitudes. The staring imaging time durations of satellites in the prograde and retrograde constellation are analyzed respectively.
Sun-synchronous orbit (SSO) has a characteristic that passes the given target area at the same local mean solar time, and is commonly used by remote sensing satellites. The ground track of these satellites could repeat precisely, by applying specific design methods. However, the revisit time of a single SSO remote sensing satellite could be greater than one day, and hard to achieve continuous Earth observation, especially for low latitudes. The N-hour repeating equatorial orbit introduced in this paper is a new concept medium Earth orbit (MEO) for remote sensing satellites, which can realize several revisits in one day, and same local time revisits on different days for a designated target at low latitudes. In this paper, the inertial period definition of equatorial satellites is clearly defined and calculated, the design of prograde and retrograde repeating equatorial orbits is given and analyzed theoretically and numerically. The longitude coverage features of equatorial satellites are also evaluated.
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