Wireless Terminal Template Registration Automation
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Solution Overview
Problem
Current transmission apparatus recognition systems face challenges in efficiently registering unregistered wireless terminals due to high man-hours required for manual template registration and increased calculation loads, especially in edge devices with low cost and low power consumption constraints, and suffer from reduced recognition accuracy due to noise and fading effects.
Innovation Solution
A transmission apparatus recognition system that includes a receiving unit, a recognition unit for calculating similarity between sample and template features, and a template feature registration unit to automatically generate and register template features from unrecognized samples, reducing manual effort and calculation loads while improving robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual template registration is performed for unregistered wireless terminals, then recognition accuracy is maintained, but operator man-hours increase significantly
Solution Approach 1:
The system performs preliminary actions by automatically generating template features from received signals before manual registration is needed. The template feature generation unit creates templates from signal characteristics, and the registration determination unit pre-assesses whether registration is necessary, reducing the need for manual operator intervention while maintaining recognition accuracy.
Solution Approach 2:
The system enables self-service by allowing unregistered wireless terminals to automatically generate their own template features through the template feature generation unit. The registration determination unit then autonomously decides whether to register these generated templates, eliminating the need for manual operator registration while preserving recognition capability.
2Loss of time
If all unrecognized samples are automatically registered as templates, then operator man-hours are reduced, but calculation amount increases excessively
Solution Approach 1:
The system applies local quality by selectively processing only those unrecognized samples that meet specific registration criteria. The registration determination unit evaluates each unrecognized sample locally against predetermined conditions (such as similarity thresholds or confidence levels), registering only those that qualify, thereby reducing overall calculation burden while maintaining effective template coverage.
Solution Approach 2:
The system changes parameters by adjusting the registration determination criteria based on system state, signal characteristics, or operational context. By dynamically modifying registration thresholds or conditions, the system optimizes the balance between automatic registration efficiency and calculation load, preventing excessive processing while ensuring adequate template coverage.
3Measurement precision
If multiple samples from one wireless terminal are registered individually, then recognition accuracy improves, but database size and processing complexity increase
Solution Approach 1:
The system merges multiple samples from the same wireless terminal into a single consolidated template feature. The template feature generation unit combines signal characteristics from multiple transmissions, and the registration determination unit registers this merged template representing the terminal, reducing database size and management complexity while preserving recognition accuracy through aggregated signal features.
Solution Approach 2:
The system achieves universality by creating a single template feature that represents multiple samples from one wireless terminal. This universal template can be used for recognizing various transmissions from the same terminal, eliminating the need to manage multiple individual templates while maintaining broad recognition capability across different signal instances.
Data Source
AI summary
The present invention improves efficiency of operator's work by automating template registration of an unregistered transmission apparatus. A transmission apparatus recognition apparatus includes a receiving unit, a recognition unit, and a template feature registration unit. The receiving unit receives a signal wirelessly transmitted from a transmission apparatus. The recognition unit calculates a degree of similarity between a sample feature generated from a received signal received by the receiving unit and template features registered in advance, compares the degree of similarity with recognition threshold value, and thereby recognizes the transmission apparatus. The template feature registration unit generates a template feature from a sample feature that failed to be recognized by the recognition unit.