Adaptive DSP Excision of Co-Channel Interference Using Network Self-Coherence
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Solution Overview
Problem
Existing radio systems face challenges in effectively excising co-channel interference (CCI) in dense and dynamic communication environments, particularly in military networks like MUOS, due to strong and dynamically varying interference, multipath distortion, and intentional jamming, which traditional analog methods struggle to address.
Innovation Solution
The use of digital signal processing (DSP) methods to transform received analog radio signals into digital representations, employing spatially and polarization diverse antenna feeds, and implementing high-precision digitally-implemented linear combiners to excise interference, along with adaptive algorithms that can operate without detailed channel state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional analog methods are used to process radio signals, then device complexity is reduced, but the ability to excise co-channel interference in dense and dynamic environments deteriorates
Solution Approach 1:
The patent replaces traditional analog signal processing methods with digital signal processing (DSP) systems. The analog radio frequency signals are converted to digital representations through ADC elements, enabling sophisticated computational algorithms to excise co-channel interference. This substitution of mechanical/analog systems with digital computational systems resolves the contradiction by providing superior interference excision capability while managing device complexity through programmable solutions.
Solution Approach 2:
The patent implements adaptive algorithms that automatically adjust to the dynamic communication environment without requiring manual intervention or detailed channel state information. The system self-adapts to changing interference patterns, multipath conditions, and signal characteristics, enabling reliable CCI excision in dense and dynamic environments while reducing the complexity of manual system configuration and management.
2Measurement precision
If digital signal processing methods are employed to excise interference, then interference excision precision is improved, but use of energy increases
Solution Approach 1:
The patent segments the digital signal processing into distinct functional stages: signal acquisition from multiple antenna feeds, transformation to digital representations, interference identification and excision through computational algorithms, and reconstruction of the desired signal. This segmentation allows energy-intensive operations to be performed only when and where needed, improving interference excision precision while managing overall energy consumption through efficient resource allocation across processing stages.
3Adaptability or versatility
If adaptive algorithms operating without detailed channel state information are used, then adaptability to environmental changes is improved, but device complexity increases
Solution Approach 1:
The patent implements adaptive algorithms that automatically adjust to the dynamic communication environment without requiring manual intervention or detailed channel state information. The system self-adapts to changing interference patterns, multipath conditions, and signal characteristics, enabling reliable CCI excision in dense and dynamic environments while reducing the complexity of manual system configuration and management.
Solution Approach 2:
The patent employs adaptive algorithms that dynamically adjust processing parameters such as beamforming weights, filtering characteristics, and signal combination coefficients based on observed signal and interference characteristics. These parameter changes enable the system to adapt to environmental changes and maintain high interference excision precision without requiring complex manual reconfiguration or detailed channel state information.
Data Source
AI summary
An apparatus and digital signal processing means are disclosed for excision of co-channel interference from signals received in crowded or hostile environments using spatial/polarization diverse arrays, which reliably and rapidly identifies communication signals with transmitted features that are self-coherent over known framing intervals due to known attributes of the communication network, and exploits those features to develop diversity combining weights that substantively excise that cochannel interference from those communication signals, based on differing diversity signature, timing offset, and carrier offset between the network signals and the co-channel interferers. Co-channel interference excision may be performed in an appliquê that can be implemented without coordination with a network transceiver.


