Adaptive Filter Weights for Multi-Channel Jamming Suppression
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Solution Overview
Problem
Adaptive digital filters are only partly effective in mitigating common template multi-channel (CTMC) interference in wireless communications, as they require limited data and may not fully suppress correlated jamming signals across multiple frequency channels.
Innovation Solution
The method involves creating both an active data stream from the channel carrying the signal of interest and monitored data streams from other channels without the signal of interest, using the jamming pattern data from these monitored streams to generate additional adaptive filter weights that enhance interference suppression by treating each monitored channel as a virtual antenna tap.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If adaptive digital filters are used to mitigate CTMC interference, then some interference suppression is achieved, but the suppression is only partial and not fully effective
Solution Approach 1:
The patent segments the interference mitigation process by creating multiple data streams from different frequency channels (active channel carrying SOI and monitored channels without SOI). Each stream is processed separately to extract jamming pattern information, which is then combined to improve overall suppression effectiveness. This segmentation allows the system to leverage correlations across channels while maintaining targeted mitigation on the active channel.
Solution Approach 2:
The patent transitions from single-channel interference mitigation to multi-channel processing by utilizing frequency channel diversity. Monitored channels provide additional dimensions of jamming pattern information that complement the active channel data. This dimensional expansion from one channel to multiple channels enables more robust estimation and suppression of CTMC interference.
2Object-affected harmful factors
If multiple frequency channels are monitored to improve jamming mitigation, then interference suppression is enhanced, but device complexity increases
Solution Approach 1:
The patent implements a universal adaptive filtering framework that processes multiple frequency channels through a single weight generator. The same adaptive filter algorithms (LMS or RLS) are applied across all monitored channels, allowing the system to leverage correlations between channels while using a unified processing structure. This multi-functionality reduces the need for separate processing chains for each channel.
Solution Approach 2:
The patent creates virtual antenna taps by copying and processing signals from monitored channels through the adaptive filter weight generator. These virtual taps replicate the interference mitigation functionality without requiring additional physical hardware, thereby reducing device complexity while still achieving enhanced jamming suppression through multi-channel correlation exploitation.
3Productivity
If adaptive filter weights are generated from limited data, then processing is faster, but the accuracy of interference mitigation is reduced
Solution Approach 1:
The patent performs preliminary action by continuously monitoring multiple frequency channels and pre-processing their signals through the adaptive filter weight generator. This ongoing monitoring and pre-processing of multiple channels builds a more accurate statistical picture of the jamming patterns before they affect the active channel, enabling more precise interference mitigation while maintaining real-time performance.
Solution Approach 2:
The patent implements feedback mechanisms where the adaptive filter continuously processes incoming data from monitored channels, updates filter weights based on observed jamming patterns, and applies these weights to suppress interference on the active channel. This closed-loop feedback system improves estimation accuracy over time while maintaining computational efficiency through iterative weight updates using standard adaptive algorithms.
Data Source
AI summary
A method of mitigating interference in a wireless signal of interest (SOI) received on an active frequency channel due to a common template multi-channel jamming attack includes selecting at least one reference channel from among a plurality of monitored frequency channels in which correlated jamming patterns are present without the SOI. The method further includes generating a plurality of weights according to data obtained from the active and reference channels, and applying an adaptive digital filter to the active channel according to the generated weights. The monitored frequency channels can be centered about the active frequency channel. The selection of reference channels can be varied and optimized. The data from each reference channel can be used to create a single virtual antenna tap or a plurality thereof. Assignment of the active channel can be time-varied to match a hopping pattern of a frequency hopping SOI.