Geolocation Signal Receiver Using Wavelet Covariance for Anti-Jamming
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Solution Overview
Problem
Space frequency adaptive processing techniques are ineffective when jamming signal frequencies change or pulse, leading to sub-optimal anti-jamming performance due to incorrect signal characterization and constant weighting factors, resulting in increased signal distortion and reduced jamming attenuation.
Innovation Solution
The method employs wavelet transformations to generate covariance matrices, select basis functions based on jamming signal characteristics, and apply adaptive weighting to effectively attenuate jamming signals across varying frequencies and time intervals, distinguishing between friendly jammers and geolocation signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If space frequency adaptive processing uses constant weighting factors over a block of processing, then the processing is simpler and more stable, but the jamming signal attenuation performance deteriorates when the jamming signal frequency changes or pulses
Solution Approach 1:
The patent applies dynamics by making the weighting factors time-varying and adaptive rather than constant. The system continuously updates weighting factors based on real-time signal characteristics, allowing the anti-jamming processor to adapt to changing jamming conditions (frequency shifts, pulsing) while maintaining optimal performance throughout the processing block
Solution Approach 2:
The system implements feedback by using the observed signal and jamming characteristics to continuously adjust the weighting factors. The processor monitors the incoming signals, identifies jamming patterns, and feeds this information back to update the weighting factors dynamically, creating a closed-loop adaptive system that improves anti-jamming performance
2Adaptability or versatility
If the bandwidth of the spatial null is increased to cover a sweeping jamming signal, then the jamming signal coverage is improved, but the signal distortion increases and jamming attenuation effectiveness decreases
Solution Approach 1:
The patent applies local quality by creating localized spatial nulls at specific frequency-time positions where jamming signals are detected, rather than using a broad broadband null. This allows the system to precisely target and attenuate jamming signals only where they occur in the frequency spectrum, minimizing impact on legitimate geolocation signals and reducing signal distortion
Solution Approach 2:
The system segments the frequency spectrum into multiple discrete frequency bins and processes each bin independently with its own weighting factors. This segmentation allows the creation of multiple narrow spatial nulls at different frequency positions rather than one broad null, enabling precise targeting of sweeping jamming signals while preserving signal integrity
3Stability of the object's composition
If the anti-jamming system assumes a jamming signal is present during an entire block of processing, then the system remains stable, but the weighting factors cause unnecessary attenuation and reduce overall performance
Solution Approach 1:
The system applies periodic action by updating the weighting factors at regular intervals throughout the processing block rather than using constant factors. This allows the system to periodically reassess the presence and characteristics of jamming signals, applying attenuation only when and where jamming is actually detected, thereby avoiding unnecessary attenuation during clean signal periods
Solution Approach 2:
The system dynamically adjusts the weighting factors based on real-time detection of jamming signal presence. Rather than assuming continuous jamming, the system continuously monitors signal characteristics and updates weighting factors dynamically, maintaining stability through systematic updates while improving effectiveness by adapting to actual jamming conditions
Data Source
AI summary
A method and apparatus for receiving geolocation signals wherein the geolocation signals are received by receiving a plurality of perspectives of a geolocation signal and a jamming signal; generating a plurality of wavelet transformations corresponding to the plurality of perspectives; determining a covariance between corresponding elements in the plurality of wavelet transformations; weighting each element in each wavelet transformation by weights derived from the determined covariance; generating a nulled wavelet transformation by summing together corresponding weighted elements from each of the plurality of wavelet transformations; and generating a time-domain rendition of the geolocation signal according to the nulled wavelet transformation through use of the inverse wavelet transform.


