Radio Interference Cancellation Using Spatially Diverse Antennas
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Solution Overview
Problem
Wireless communications systems, particularly in military applications, are vulnerable to interference and jamming, which degrade communication quality and reliability, and existing methods struggle to effectively mitigate such interference without prior knowledge of the jamming signal.
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 signal to extract the desired signal, employing blind adaptive cancellation algorithms and adaptive filters to dynamically track and remove interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If spatially diverse antennas are used to decorrelate jamming signals, then communication robustness is improved, but device complexity increases
Solution Approach 1:
The system divides the received signal into multiple components using spatially diverse antennas, processing each antenna's signal separately through adaptive filters before combining them. This segmentation allows the system to isolate and cancel jamming signals while preserving desired communications, thereby improving reliability through diversity without requiring a single complex processing unit.
Solution Approach 2:
The patent introduces adaptive filters and signal processing algorithms as intermediary components between the antennas and the final signal output. These intermediaries dynamically adjust their parameters to decorrelate jamming signals across different antenna paths, enabling robust communication without permanently increasing hardware complexity.
2Reliability
If blind adaptive cancellation algorithms are used to remove jamming signals, then communication quality is improved, but processing requirements and energy consumption increase
Solution Approach 1:
The system employs dynamic adaptive filtering where the filter parameters continuously adjust based on the received signal characteristics. This dynamic adaptation allows the system to maintain high transmission quality by tracking changing jamming conditions while optimizing processing energy by only computing what is necessary for current signal conditions rather than using fixed high-complexity processing.
Solution Approach 2:
The blind adaptive cancellation algorithm changes its processing parameters based on signal correlation measurements and error feedback. By dynamically adjusting filter tap weights and convergence parameters, the system achieves high transmission quality while minimizing energy consumption through adaptive computational effort rather than constant maximum processing.
3Reliability
If multiple signals are processed to obtain residual signals, then jamming cancellation effectiveness is improved, but processing time and complexity increase
Solution Approach 1:
The system performs preliminary correlation analysis and weighting factor determination on signals from multiple antennas before the main subtraction operation. By pre-processing the signals to identify and weight the jamming components, the system achieves effective jamming cancellation while reducing the computational burden and time required for the final residual signal generation.
Solution Approach 2:
The patent replaces complex iterative mechanical processing with direct mathematical operations for signal subtraction and combination. By using closed-form solutions for the adaptive filter updates and direct signal subtraction methods, the system achieves effective jamming cancellation with reduced processing time compared to iterative numerical optimization approaches.
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.