Wireless Signal Discrimination via Tile Analysis
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Solution Overview
Problem
Conventional wireless communication systems face challenges in accurately discriminating between different types of extraneous received signals, leading to potential communication disruptions and non-compliance with regulatory requirements, especially when encountering radar signals and other interference.
Innovation Solution
A wireless communication system with advanced detectors that analyze signals in unassigned tiles to differentiate between continuous and burst-type extraneous signals, allowing for tailored reactions such as ceasing transmission or changing channel parameters, ensuring minimal disturbance and regulatory compliance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detectors are used to detect extraneous signals, then the system can identify interference, but the system cannot accurately discriminate between different types of extraneous signals (radar vs. other interference)
Solution Approach 1:
The detector segments the analysis of extraneous signals by examining multiple unassigned tiles within a sub-frame. By dividing the frequency-time resource grid into discrete tiles and analyzing signal presence across multiple tiles, the detector can distinguish between radar signals (which typically occupy specific tile patterns) and other interference (which may appear differently across tiles). This segmentation approach enables accurate signal type discrimination without requiring a single complex detector design.
Solution Approach 2:
The invention adds a temporal dimension to signal detection by analyzing extraneous signals across multiple unassigned tiles within a sub-frame structure. Instead of detecting signals at a single point in time or frequency, the system examines the pattern of signal presence across multiple tiles, creating a multi-dimensional signal signature. This dimensional approach allows discrimination between radar signals and other interference types based on their distinct spatial-temporal patterns.
2Reliability
If the system ceases transmission upon detecting any extraneous signal, then regulatory compliance is maintained, but communication disruptions occur even for non-radar interference
Solution Approach 1:
The system applies different reaction qualities based on the local characteristics of the detected extraneous signal. When radar signals are identified through tile pattern analysis, the system ceases transmission to comply with regulatory requirements. When other types of interference are detected, the system maintains transmission continuity. This localized quality approach ensures regulatory compliance for radar while preserving communication productivity for non-radar interference scenarios.
Solution Approach 2:
The system dynamically adjusts its reaction to extraneous signals based on real-time signal type classification. Rather than using a static cease-transmission policy for all extraneous signals, the system dynamically determines the appropriate response (cease transmission or continue) based on whether the detected signal is identified as radar or other interference. This dynamic adaptation optimizes both regulatory compliance and communication continuity.
3Object-affected harmful factors
If the system changes channel parameters to avoid extraneous signals, then interference is avoided, but communication is interrupted during the channel switching process
Solution Approach 1:
The system performs preliminary classification of extraneous signals by analyzing unassigned tiles before initiating any channel switching action. By pre-identifying whether the interference is from radar or other sources, the system can determine in advance whether channel switching is necessary. This preliminary action prevents unnecessary channel switches and their associated delays, while ensuring that genuine radar interference is addressed through appropriate channel changes.
Data Source
AI summary
A wireless communication system having base stations and remotely located terminal units. The base stations and the remotely located terminal units communicate data over operational wireless communication links assigned to respective sub-channels having tiles separated by frequency and time. Detectors for analyzing extraneous received signals in unassigned tiles of the communication links discriminate between a first type of extraneous signals detected in unassigned tiles of one sub-frame and also detected in other unassigned tiles, and a second type of extraneous signals detected in the unassigned tiles but not detected in other unassigned tiles. The reaction of the base stations is different based on the type of extraneous signals.