Multi-Antenna Jammer Cancellation for Reliable Radio Reception
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Solution Overview
Problem
Wireless communication systems, particularly those used for secure communications like tactical communications, are vulnerable to interference and jamming, which degrade communication quality and reliability, especially when faced with strong hostile jamming signals.
Innovation Solution
The described techniques utilize spatially diverse antennas to decorrelate jamming signals by processing received signals from multiple antennas, applying weighting factors, and subtracting the correlated jamming signals to extract the desired signal, employing adaptive filters and blind adaptive cancellers to dynamically track and remove interference without prior knowledge of the jamming signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional single-antenna reception is used, then the system is simpler, but the communication reliability deteriorates under jamming conditions
Solution Approach 1:
The system divides the received signal into multiple independent components using multiple antennas, allowing separate processing of the desired signal and jamming signal. Each antenna receives a version of the signal with different jamming characteristics, enabling independent analysis and cancellation of interference components.
Solution Approach 2:
The patent transitions from single-antenna scalar reception to multi-antenna vector reception, adding a spatial dimension to signal processing. By utilizing signals from multiple antennas with different spatial characteristics, the system can distinguish and separate desired signals from jamming signals that arrive from different directions or with different spatial signatures.
2Reliability
If multiple spatially diverse antennas are used to decorrelate jamming signals, then the anti-jamming performance is improved, but the device complexity increases
Solution Approach 1:
The system employs feedback mechanisms where the processed signals from multiple antennas are continuously monitored and used to adjust the cancellation parameters. The residual jamming components are fed back into the cancellation algorithm to refine the estimation and removal of interference, improving the effectiveness of jamming cancellation through iterative refinement.
Solution Approach 2:
The multi-antenna system uses its own received signals as references for cancellation. Each antenna's signal serves as both the input to be processed and the reference for canceling jamming components, eliminating the need for external reference signals or additional calibration equipment.
3Object-affected harmful factors
If adaptive filters and blind adaptive cancellers are employed to track and remove interference, then the interference mitigation capability is improved, but the computational complexity increases
Solution Approach 1:
The system uses dynamic adaptive filtering where the filter coefficients are continuously adjusted in real-time to track changing jamming characteristics. The blind adaptive canceller dynamically updates its parameters based on the statistical properties of the received signals, allowing the system to adapt to time-varying interference without requiring prior knowledge of jamming signals.
Solution Approach 2:
The patent changes the statistical parameters and weighting factors in the signal processing algorithm to optimize performance under different jamming conditions. By adjusting parameters such as correlation thresholds, weighting coefficients, and cancellation depths, the system adapts to varying interference levels and characteristics while maintaining computational efficiency.
Data Source
AI summary
Methods, systems, and devices for reducing the impact of a jamming signal on wireless communications are described. Generally, the described techniques provide for receiving a first signal at a first antenna and receiving a second signal at a second antenna. An anti-jammer manager may process the first signal and the second signal to obtain a residual signal. The processing may include determining a weighting factor based at least in part on a correlation between the first signal and the second signal, applying the weighting factor to the first signal to create a weighted first signal, and subtracting the weighted first signal from the second signal to obtain the residual signal. A demodulator may demodulate the residual signal to obtain symbol information. A decoder may decode the symbol information to obtain data. The techniques may be used to recover a desired signal portion from a jammed signal.