WAIC-UP Wavelet Interference Cancellation for Boomless Magnetometers
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Solution Overview
Problem
Spacecraft magnetic field measurements are often degraded by stray magnetic fields from onboard electrical systems, which traditional methods struggle to effectively eliminate, especially in resource-constrained platforms like CubeSats, where mechanical booms are impractical due to increased cost and complexity.
Innovation Solution
The Wavelet-Adaptive Interference Cancellation for Underdetermined Platforms (WAIC-UP) algorithm uses multiple magnetometers to identify and subtract interference signals by leveraging statistical correlations in wavelet coefficients, assuming uniform ambient magnetic fields and uncorrelated interference, without prior knowledge of spectral content or magnitude, thus accommodating multiple interference sources with distinct spectral characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mechanical booms are used to position magnetometers away from electrical systems, then measurement quality is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces the mechanical boom system with a signal processing system. Instead of physically separating the magnetometer from electrical interference sources using mechanical structures, the invention uses wavelet transform and adaptive filtering algorithms to remove interference signals from the magnetic field measurements, thereby eliminating the need for mechanical booms while maintaining measurement quality
Solution Approach 2:
The patent introduces wavelet coefficients as an intermediary representation to separate magnetic field signals from interference. By transforming the signals into the wavelet domain and using statistical properties of the coefficients, the system can identify and remove interference without direct physical separation, acting as a computational mediator between the magnetometer and the final cleaned signal
2Device complexity
If multiple magnetometers are used without booms, then device complexity is reduced, but interference from multiple electrical systems becomes harder to eliminate
Solution Approach 1:
The patent segments the magnetic field signal into different wavelet scales, allowing separate processing of different frequency components. By analyzing wavelet coefficients at different scales, the system can identify and remove interference signals with distinct spectral characteristics from multiple electrical systems while preserving the ambient magnetic field signal, effectively handling multiple interference sources independently
Solution Approach 2:
The patent employs adaptive filtering that dynamically adjusts to the statistical properties of the signals. The algorithm continuously monitors the wavelet coefficients and adapts its filtering parameters to handle varying interference patterns from multiple electrical systems, making the system robust to changing interference conditions without requiring manual reconfiguration
3Measurement precision
If Underdetermined Blind Source Separation is used, then interference removal capability is improved, but computational time and processing requirements increase
Solution Approach 1:
The patent applies partial action by focusing the computational effort on the most significant wavelet coefficients rather than processing all signal components equally. By identifying and removing only the interference components with distinct spectral characteristics through wavelet analysis, the system achieves effective interference removal with reduced computational complexity compared to full UBSS algorithms that must process the entire signal space
Data Source
AI summary
An interference removal technique, called Wavelet-Adaptive Interference Cancellation for Underdetermined Platforms (WAIC-UP), is provided to effectively eliminate stray magnetic field signals using multiple magnetometers, without requiring prior knowledge of the spectral content, location, or magnitude of the interference signals. WAIC-UP capitalizes on the distinct spectral properties of various interference signals and employs an analytical method to separate them from ambient magnetic field in the wavelet domain.