UWB Mobile Device Reflection Pattern Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing UWB-based distance determination technologies face challenges in accurately determining time stamps due to noise interference, leading to complex operations and the subsequent ignoring of received signals post-threshold exceedance during range determination.
Innovation Solution
A mobile device equipped with a processor and radio receiver configured to receive and process reflections of radio pulses, determining a reflection pattern to classify its position and assign security levels based on environmental information, utilizing UWB signals for both ranging and environmental characterization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If threshold-based detection is used to determine time stamps in UWB signals, then the detection can be simplified, but the measurement precision deteriorates due to noise interference
Solution Approach 1:
The patent applies preliminary action by performing channel characterization and noise level measurement before the actual ranging operation. The system pre-determines the noise floor and signal characteristics during a training phase, then uses this pre-acquired information to optimize threshold selection and detection parameters during actual use, thereby improving time stamp accuracy without complicating the detection process
Solution Approach 2:
The patent implements feedback by continuously monitoring the received signal strength indicator (RSSI) and adjusting the detection threshold dynamically based on the actual noise conditions. The system compares the detected signal against the pre-measured noise floor and adjusts thresholds adaptively, creating a closed-loop system that maintains high measurement precision while keeping detection operations simple
2Measurement precision
If all received signals are processed for environmental characterization, then the position determination accuracy improves, but the computational complexity and energy consumption increase
Solution Approach 1:
The patent extracts only the essential features from the received UWB signals for environmental characterization. Instead of processing all signal data, the system selectively extracts key parameters such as time of flight, signal strength, and specific reflection patterns that are most indicative of position and environment, thereby reducing computational load and energy consumption while maintaining position determination accuracy
Solution Approach 2:
The patent applies partial action by processing only a subset of received signals that are most relevant for position determination. The system identifies and processes only those signals that contain useful environmental information, ignoring redundant or noisy signals, thus achieving accurate position determination with reduced energy expenditure
3Adaptability or versatility
If UWB signals are used for both ranging and environmental characterization, then the versatility of the system improves, but the device complexity increases
Solution Approach 1:
The patent implements universality by designing the UWB receiver to perform multiple functions using the same hardware infrastructure. The system uses the same radio receiver and processing pipeline for both ranging operations and environmental characterization, eliminating the need for separate dedicated hardware for each function and thereby managing device complexity while achieving high versatility
Solution Approach 2:
The patent applies segmentation by dividing the signal processing into distinct functional modules that can be independently configured. The ranging function and environmental characterization function are separated into distinct processing stages, allowing each to be optimized independently while sharing common hardware resources, thus managing complexity through modular architecture
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables reliable security level assignment and position determination using UWB reflections, providing low-power, low-cost, and efficient security protection with improved signal-to-noise ratio and reduced computational resources.
Implementation Method 1
a radio receiver 202 configured to receive reflections of a radio pulse
Data Source
AI summary
A mobile device is provided. The mobile device has a processor and a radio receiver that is configured to receive reflections of a radio pulse, the processor being configured to perform or prompt determination of a reflection pattern based on received reflections, to undertake or prompt classification of a position based on the determined reflection pattern and at least one previously detected reference reflection pattern, and being configured to prompt an action based on a result of the classification.