Wireless Communication Apparatus for Capsule Endoscope Signal Detection
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Solution Overview
Problem
Current capsule endoscope systems face challenges in efficiently detecting and analyzing wireless signals with varying symbol rates, which affects power consumption and data transmission quality, as existing methods require complex frequency component detection using DFT and FFT, leading to larger circuit sizes and higher operational clocks.
Innovation Solution
A wireless communication apparatus that detects signal change points, generates vectors based on phase changes, synthesizes these vectors to calculate a parameter, and judges whether the signal is from a specific transmission apparatus, allowing for efficient symbol rate judgment and reduced power consumption without the need for complex frequency component detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If DFT and FFT are used for frequency component detection, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for symbol rate judgment by detecting signal change points and their phases, rather than performing full frequency component analysis. This selective extraction of critical signal characteristics reduces the computational burden and circuit complexity while maintaining sufficient detection precision for the specific application of identifying wireless signals from capsule endoscopes.
Solution Approach 2:
Instead of analyzing the signal in the frequency domain using DFT/FFT, the patent inverts the approach by analyzing the signal in the time domain through detection of signal change points and their temporal positions (phases). This inversion from frequency-domain analysis to time-domain analysis achieves the same goal of symbol rate identification with simpler processing.
2Measurement precision
If DFT and FFT are used for frequency component detection, then measurement precision is improved, but productivity decreases
Solution Approach 1:
The patent extracts only the essential information needed for symbol rate judgment by detecting signal change points and their phases, rather than performing full frequency component analysis. This selective extraction of critical signal characteristics reduces the computational burden and circuit complexity while maintaining sufficient detection precision for the specific application of identifying wireless signals from capsule endoscopes.
Solution Approach 2:
Instead of analyzing the signal in the frequency domain using DFT/FFT, the patent inverts the approach by analyzing the signal in the time domain through detection of signal change points and their temporal positions (phases). This inversion from frequency-domain analysis to time-domain analysis achieves the same goal of symbol rate identification with simpler processing.
3Use of energy by moving object
If wireless signal is intermittently transmitted to reduce power consumption, then use of energy is improved, but reliability decreases
Solution Approach 1:
The patent replaces complex continuous signal analysis with a simplified detection method based on signal change point timing. By focusing on the temporal positions of signal transitions rather than continuous spectral analysis, the system can reliably detect intermittently transmitted signals with lower power consumption, as the simplified detection logic requires less computational energy while maintaining adequate reliability for the application.
Data Source
AI summary
A wireless communication apparatus includes a phase detecting unit configured to detect a signal change point at which a signal decoded from a received wireless signal changes and detect a temporal position of the signal change point within one cycle defined by setting of a symbol rate as a phase, a vector generating unit configured to generate a vector which corresponds to the detected phase and which has a predetermined magnitude, a vector synthesizing unit configured to synthesize the generated vector in plurality to generate a synthesized vector, a calculating unit configured to calculate a parameter having a correspondence relationship with a magnitude of the generated synthesized vector, and a judging unit configured to judge whether or not a wireless signal is a specific wireless signal based on the calculated parameter.


