Compensating Non-Ideal Reflector Surfaces in Satellite Beamforming
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Solution Overview
Problem
Satellite communication systems face performance degradation due to non-ideal reflector surfaces, which cause unpredictable side-lobe performance and degrade carrier-to-interference (C/I) ratios, especially in larger reflectors with deployment-induced distortions.
Innovation Solution
The system measures signals reflected off a non-ideal reflector surface, calculates element correlation matrices from these measurements, and adjusts beam weights to form beams that mimic the performance of an ideal reflector surface, ensuring desired parameters like C/I ratios are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of moving object
If a large reflector is deployed to enable narrower spot beams and maximum frequency reuse, then beam forming capability is improved, but surface distortion occurs resulting in non-ideal surface performance
Solution Approach 1:
The patent applies parameter changes by measuring the actual reflector surface deviations and adjusting the beamforming weights to compensate for these deviations. The system characterizes the reflector surface accuracy parameters and uses these measurements to optimize the beamforming parameters, thereby maintaining performance despite surface imperfections
Solution Approach 2:
The patent implements feedback by measuring signals reflected off the actual reflector surface and using these measurements to calculate element correlation matrices. This feedback loop allows the system to adjust beam weights based on actual performance data, compensating for surface distortions and maintaining optimal beamforming performance
2Reliability
If beam weights are adjusted to compensate for non-ideal surface, then C/I ratio is improved, but system complexity increases
Solution Approach 1:
The patent uses feedback by measuring reflected signals and using these measurements to calculate element correlation matrices that guide beam weight adjustments. This measured feedback approach provides reliable C/I ratio improvement while keeping the complexity manageable through data-driven optimization
Solution Approach 2:
The patent changes beamforming parameters (weights) based on measured reflector characteristics and element correlation matrices. By optimizing these parameters according to actual surface conditions, the system achieves improved reliability without requiring complex hardware modifications
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 compensates for the non-ideal surface by adjusting beam weights, maintaining or improving performance metrics such as C/I ratios, even with distorted reflectors, thereby maintaining reliable communication.
Implementation Method 1
A number of satellites are currently being developed that include a large reflector
Implementation Method 2
A beamformer is configured to adjust amplitudes and phases of signals to one or more antenna feed elements
Data Source
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AI summary
A method is provided that includes measuring amplitudes and phases of signals reflected off a reflector of a satellite, with the amplitudes and phases forming a first set of measurements. The method includes calculating an element correlation matrix as a function of the first set of measurements. The element correlation matrix represents a radiated feed element pattern off the reflector. And the method includes adjusting a formed beam pattern of a beamformer based on the element correlation matrix to thereby compensate for a non-ideal surface of the reflector.