Sliding Window Crosspolar Interference Detection in Satellite Receivers
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Solution Overview
Problem
Crosspolar interference in satellite communication systems causes performance degradation at the receiver side due to uncoordinated transmissions on different polarizations, leading to waveform attenuation, depolarization, and crosstalk, making it difficult to align and mitigate interfering signals.
Innovation Solution
A method and device that analyze received frames using a sliding window to detect crosspolar interference by determining factors of merit, comparing them to thresholds, and identifying the start and end positions of interferers in both time and frequency planes, allowing for effective interference mitigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adjacent beams use the same frequency with different polarizations to improve frequency reuse factor, then system capacity increases, but crosspolar interference occurs causing performance degradation
Solution Approach 1:
The received frame is segmented into multiple zones using a sliding window approach that divides the time-frequency plane into analysed and unanalysed areas. This segmentation allows selective application of interference detection and mitigation techniques to specific regions, enabling the system to maintain frequency reuse while reducing crosspolar interference impact on individual segments.
Solution Approach 2:
The patent changes the parameter of signal analysis by introducing a sliding window that moves across different positions in the time-frequency plane. By adjusting the window position and size, the system can detect interference in specific zones and apply appropriate mitigation parameters, allowing frequency reuse to be maintained while managing crosspolar interference through dynamic parameter adaptation.
2Measurement precision
If sliding window analysis is applied to detect interferers, then interference detection accuracy improves, but device complexity increases
Solution Approach 1:
The detection device complexity is managed by segmenting the time-frequency plane into analysed and unanalysed zones using a sliding window. Rather than analyzing the entire frame uniformly, the system focuses computational resources on specific zones where interference is detected, reducing overall device complexity while maintaining detection accuracy in critical areas.
Solution Approach 2:
The patent applies partial action by analyzing only certain zones of the received frame rather than the entire frame. The sliding window moves to positions where interference is suspected or where pilot symbols are located, applying detection algorithms selectively to reduce computational complexity while maintaining sufficient detection accuracy for interference mitigation.
3Measurement precision
If sliding window positions are made overlapping to improve detection accuracy, then multi analysed areas are created, but processing complexity increases
Solution Approach 1:
Overlapping sliding window positions create multiple analysed zones that segment the time-frequency plane more finely. This segmentation improves detection accuracy by providing redundant analysis of overlapping regions, allowing the system to identify interferers more precisely while managing processing complexity through structured zone management.
Solution Approach 2:
The overlapping sliding window approach provides feedback mechanisms where multiple analyses of overlapping zones reinforce detection decisions. By comparing results from overlapping positions, the system can validate interference detection and reduce false positives, improving accuracy while the structured feedback loop helps manage processing complexity through iterative refinement.
4Productivity
If unanalysed areas are left between sliding window positions to reduce processing load, then detection speed improves, but interference mitigation completeness decreases
Solution Approach 1:
The time-frequency plane is segmented into analysed and unanalysed zones, with sliding windows positioned at strategic locations. This segmentation enables the system to process only critical zones, improving detection speed while the structured approach ensures that unanalysed areas are adequately covered by adjacent analysed zones, maintaining mitigation completeness.
Solution Approach 2:
The patent applies partial action by leaving unanalysed areas between sliding window positions. Rather than analyzing every possible position, the system strategically places windows to cover critical regions where interference is most likely to occur, improving detection speed while maintaining sufficient coverage for effective interference mitigation through targeted analysis.
Data Source
AI summary
The present invention concerns a method for determining if at least one interferer generated by cross polarization interference is present in a received frame. The method comprises the steps of: —analyzing the received frame using a sliding window which analyzes at least a part of a first and second planes of the received frame, —determining a factor of merit for each position of the sliding window, —comparing each factor of merit to a threshold in order to determine if at least one interfered zone is present in the received frame, —analyzing the factors of merit in order to determine the number of interferers which are present in each interfered zone, —determining the start/end positions of each interferer in the first and second planes of the received frame.