UWB CIR Intrusion Detection for Low-Power Vehicle Access
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Solution Overview
Problem
Existing smart vehicle access systems based on UWB technology do not effectively prevent unauthorized intrusions or theft, and existing UWB-based intrusion detection systems consume high power and require complex signal processing.
Innovation Solution
A system and method utilizing UWB communication nodes to analyze channel impulse responses (CIR) and parameters, facilitated by a controller, to detect unauthorized access by comparing changes with predefined values, and employing machine learning algorithms to optimize detection, while reducing power consumption by periodically changing transmission nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UWB-based intrusion detection systems are implemented, then unauthorized access detection capability is improved, but power consumption increases
Solution Approach 1:
The system performs intrusion detection periodically rather than continuously. The controller activates UWB communication nodes at specific intervals to transmit messages and analyze channel impulse responses, reducing power consumption while maintaining effective detection coverage through scheduled monitoring cycles
Solution Approach 2:
The system leverages existing UWB communication infrastructure that was originally designed for access control and localization. By repurposing these existing nodes for intrusion detection, the system avoids additional power-hungry dedicated sensors while achieving enhanced security functionality through the same hardware
2Measurement precision
If complex signal processing is used for intrusion detection, then detection accuracy is improved, but system complexity increases
Solution Approach 1:
The system extracts only the essential features from channel impulse responses for intrusion detection. Instead of processing the complete raw signal data, the controller identifies and analyzes specific parameters such as signal strength, time of flight, and reflection patterns that are most indicative of unauthorized access, simplifying the processing burden while maintaining detection accuracy
Solution Approach 2:
The system introduces a machine learning model as an intermediary between raw signal data and detection decisions. The model is trained to recognize intrusion patterns from historical data, automatically learning complex detection criteria without requiring explicit programming of signal processing algorithms, thereby reducing system complexity while improving accuracy
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
Facilitates the detection of unauthorized access with low power consumption and efficient intrusion detection, leveraging existing UWB infrastructure for vehicles, and providing enhanced localization awareness.
Implementation Method 1
causing, by a controller, at least one of a plurality of UWB (Ultra-Wideband) communication nodes to transmit one or more UWB messages
Data Source
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AI summary
In accordance with a first aspect of the present disclosure, a system is provided for facilitating detecting an unauthorized access to an object, the system comprising: a plurality of ultra-wideband (UWB) communication nodes; a controller operatively coupled to said plurality of UWB communication nodes, wherein the controller is configured to: cause at least one of the UWB communication nodes to transmit one or more UWB messages to other UWB communication nodes of said plurality of UWB communication nodes; receive a channel impulse response (CIR) estimate and/or one or more parameters relating to said CIR output by the UWB communication nodes in response to receiving said UWB messages; analyze said CIR estimate and/or said parameters relating to the CIR to detect said unauthorized access to the object. In accordance with a second aspect of the present disclosure, a corresponding method is conceived for facilitating detecting an unauthorized access to an object. In accordance with a third aspect of the present disclosure, a computer program is provided for carrying out said method.