Radar Cross-Section Statistics for Space Object Attitude Stability
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Solution Overview
Problem
Current methods for determining space object attitude stability are laborious, expensive, and limited by the physical size and altitude of satellites, making it challenging to characterize the attitude stability of numerous space objects in Low-Earth Orbit (LEO) in a cost-effective and scalable manner.
Innovation Solution
The technique employs phased-array radars with multiple fields of view to estimate attitude stability using radar cross-section (RCS) statistics, calculating a Stability Index (SI) based on median or mean RCS values at different elevation angles, and utilizing a finite state machine (FSM) to track changes in the SI over time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If contiguous radar track or optical instrument is used to determine space object attitude stability, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts only the essential measurement data (RCS values) from space objects using simple radar systems, rather than employing complex contiguous tracking radars or optical instruments. By taking out only the necessary information (RCS fluctuations at different elevation angles) and analyzing it through statistical methods, the system achieves attitude stability determination without requiring complex hardware
Solution Approach 2:
The patent replaces complex mechanical tracking systems with a simplified radar measurement approach. Instead of using mechanically complex contiguous radar tracks or optical instruments, the system uses radar cross-section statistics combined with elevation angle variations to substitute for direct attitude measurement, achieving the same functional result with simpler means
2Measurement precision
If contiguous radar track or optical instrument is used to determine space object attitude stability, then measurement precision is improved, but maintenance cost increases
Solution Approach 1:
The patent employs inexpensive radar systems that can be deployed widely rather than maintaining expensive, complex optical instruments or contiguous tracking radars. The approach uses multiple simple, cost-effective radar facilities to collect RCS data, replacing the need for expensive maintenance of sophisticated tracking systems
3Measurement precision
If traditional radar methods are used to monitor space objects, then measurement capability is achieved, but productivity decreases
Solution Approach 1:
The patent performs preliminary statistical analysis of RCS data collected at different elevation angles before final attitude stability determination. By pre-processing the radar measurements to extract RCS statistics and comparing them across elevation angles, the system prepares the data in advance for efficient classification, improving overall monitoring productivity
Solution Approach 2:
The patent uses multiple elevation angle measurements and statistical analysis of RCS fluctuations beyond the minimum single measurement approach. By collecting excess data points at various elevation angles and applying statistical processing, the system achieves more reliable attitude stability determination with higher productivity through automated analysis
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for the efficient characterization of attitude stability for multiple space objects, enabling advanced object classification and mission interpretation, even for small debris, with improved sensitivity and accuracy as more radar facilities are integrated into the network.
Implementation Method 1
receiving, via a processor, a plurality of RCS measurements of a space object from a ground based radar
Data Source
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AI summary
This disclosure enables various technologies for determining space object attitude stabilities from radar cross-section statistics. In particular, such determinations can be made via employing various phased-array radars with various fields of views, which can monitor various space objects (e.g., satellites, space debris, rocket bodies, space stations) over various periods of time (e.g., minutes, hours, days, weeks, months) as the space objects come into the fields of views. For example, a technique for estimating attitude stability of low-Earth RSOs using RCS statistics from various radars (e.g., group of radars, phased-array radar network). Assuming a non-isotropic shape, an Earth-oriented RSO can have an elevation-angle dependent RCS when viewed from a ground-based radar. Therefore, an RSO attitude stability can be tested by looking for a difference in a median or mean RCS when the RSO is viewed at different elevation angles.