Narrowband Adaptive Filtering for Terrestrial Interference Cancellation
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Solution Overview
Problem
Conventional methods for canceling terrestrial interference in satellite communication systems face challenges due to high computational complexity and power consumption, especially when dealing with wide-band satellite signals and narrow-band fixed service links, leading to sub-optimal interference cancellation and signal saturation in receiver RF chains.
Innovation Solution
The proposed solution employs an adaptive filtering architecture that operates in a narrow band with a slower update frequency and shorter filter taps, using recursive-linear-square algorithms to minimize correlation in input signals, thereby reducing computational complexity and power consumption while maintaining effective interference cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional interference cancellation methods are used to handle wide-band satellite signals, then interference cancellation effectiveness is improved, but computational complexity and power consumption increase significantly
Solution Approach 1:
The patent segments the wide-band satellite signal into multiple narrow-band signals, each processed by separate adaptive filters. This division allows each filter to operate on a smaller bandwidth with reduced computational requirements, while collectively achieving effective interference cancellation across the entire wide-band spectrum. The segmentation principle directly resolves the contradiction by trading a single complex full-band filter for multiple simpler narrow-band filters.
Solution Approach 2:
The patent transforms the interference cancellation problem from the frequency domain to the time domain by using time-domain adaptive filtering. Instead of performing computationally intensive frequency-domain processing across the entire wide band, the system uses time-domain recursive filters that operate with lower computational complexity. This dimensional transformation resolves the contradiction between cancellation effectiveness and computational burden.
2Reliability
If conventional interference cancellation methods are used to handle wide-band satellite signals, then interference cancellation effectiveness is improved, but power consumption increases significantly
Solution Approach 1:
By segmenting the wide-band signal into narrow-band components and processing each with simple adaptive filters, the patent dramatically reduces the computational load and associated power consumption. Each narrow-band filter requires fewer arithmetic operations compared to a single wide-band filter, leading to lower energy consumption while maintaining overall interference cancellation effectiveness through the combined operation of all filters.
Solution Approach 2:
The patent employs simple recursive adaptive filters that can be implemented with basic digital signal processing hardware, replacing the need for complex, power-hungry interference cancellation systems. These computationally efficient filters provide adequate performance for narrow-band signals and can be rapidly adapted to changing interference conditions, offering a cost-effective and energy-efficient solution.
3Measurement precision
If adaptive filtering operates with faster update frequency and longer filter taps, then interference cancellation precision is improved, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the wide-band processing task into multiple narrow-band processing tasks. Each narrow-band adaptive filter uses shorter filter taps and operates at lower update frequencies appropriate for its specific bandwidth, reducing individual computational complexity. The collective precision of all segmented filters achieves the overall interference cancellation accuracy needed, resolving the contradiction between precision and complexity.
Solution Approach 2:
The patent implements local quality by tailoring the filter parameters (tap length, update frequency) to match the specific requirements of each narrow-band signal segment. Instead of using uniform long filters with high update frequencies across the entire wide band, each narrow-band filter is optimized locally with appropriate parameters, achieving sufficient precision for its bandwidth while minimizing overall computational complexity.
Data Source
AI summary
Technologies directed to correcting terrestrial interference using narrowband adaptive filtering and beamforming technology are described. One method includes receiving a first and second radio frequency (RF) signal. The method includes generating first digital samples corresponding to the first RF signal using a first sample rate and generating second digital samples corresponding to the first RF signal using a second sample rate that is lower than the first sample rate. The method further includes generating third digital samples corresponding to the second RF signal using the second sample rate. The method further includes determining parameters associated with a filtering process using the second digital samples and the third digital samples. The method further includes generating fourth digital samples using the parameters of the filtering process. The method further includes removing a first portion from the first RF signal using the first digital samples and the fourth digital samples.