Wireless Signal Detection via Learned Frequency Statistics
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Solution Overview
Problem
Existing wireless communication systems face challenges in reliably detecting radar signals, particularly with unknown radar types and poor responsiveness in frequency administration, leading to undetectability and inadequate DFS functionality.
Innovation Solution
An information processing apparatus with a learning unit that utilizes frequency utilization statistics from a secondary system as teacher information and sensing data from a sensor unit to detect the presence of primary system signals, enabling more accurate and reliable detection through learning and detection processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional frequency sensing methods are used, then the system can operate with simple detection mechanisms, but the reliability of detecting primary system signals deteriorates due to undetectability of unknown radar types
Solution Approach 1:
The system performs preliminary learning of frequency utilization statistics from secondary system operations before actual primary signal detection. This pre-acquired knowledge serves as a reference for comparing against sensed signals, enabling more reliable detection of unknown radar types without requiring complex predetermined signal databases
Solution Approach 2:
Frequency utilization statistics acquired from secondary system operations serve as an intermediary between the simple sensing mechanism and the detection decision. These statistics mediate the detection process by providing a learned reference that enhances detection reliability without requiring direct complex signal analysis
2Reliability
If frequency administration database is used, then comprehensive frequency management is achieved, but responsiveness deteriorates as wireless communication apparatus cannot determine availability by itself
Solution Approach 1:
The wireless communication apparatus performs self-learning of frequency utilization statistics and autonomous detection of primary signals using the learned information. This self-service capability eliminates dependence on external frequency administration databases for real-time decisions, achieving both reliability through learned patterns and responsiveness through autonomous operation
Solution Approach 2:
The system pre-learns frequency utilization patterns from secondary system operations, storing this knowledge for rapid comparison during detection. This preliminary action enables the apparatus to make immediate detection decisions without querying external databases, achieving both comprehensive management and fast responsiveness
3Measurement precision
If DFS is implemented with traditional methods, then basic radar detection is possible, but detection accuracy deteriorates due to inability to detect unknown radar types
Solution Approach 1:
The frequency utilization statistics learned from secondary system operations serve as a universal reference that can detect multiple types of radar signals including unknown types. This single learned model provides multi-functional detection capability across different radar types without requiring type-specific detection algorithms
Solution Approach 2:
The learned frequency utilization statistics act as an intermediary that bridges the gap between simple sensing and accurate detection of various radar types. This intermediary provides adaptability to unknown radar types by comparing sensed signals against the learned statistical patterns rather than requiring predetermined signal templates
Data Source
AI summary
The present disclosure relates to an information processing apparatus, an information processing method, and a wireless communication apparatus that may enable more reliable detection of presence of a signal of a primary system. A learning unit carries out learning of frequency utilization statistics information regarding a secondary system, with use of information regarding a frequency occupancy situation of the secondary system which shares a frequency or a frequency band allocated to the primary system, at least as teacher information, and with use of sensing data collected by a sensor unit which senses a radio wave environment, as student information. A detection unit carries out detection processing based on the frequency utilization statistics information and, upon detection of the presence of the signal of the primary system, gives detection notification or radio wave stoppage instructions to other wireless communication apparatuses utilizing a frequency for the secondary system.