Single-Chip Electromagnetic Wave Detection Device for IEMI Analysis
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Solution Overview
Problem
Existing electromagnetic wave detection systems are large, power-hungry, and costly, making them difficult to implement as small, lightweight, and low-power devices, and they struggle to analyze frequencies and patterns of electromagnetic interference (EMI) at a fast rate.
Innovation Solution
A single chip device embedding a frequency detector with a fast response rate and a symptom detector that classifies electromagnetic waves by analyzing detection signals, enabling the generation of warning signals and facilitating the detection of intentional electromagnetic interference (IEMI).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a traditional electromagnetic wave detection system is implemented with separate components and computers, then the detection capability and analysis function are achieved, but the system becomes large in volume, high in power consumption, and expensive
Solution Approach 1:
The patent merges the frequency detector, symptom detector, and processing functions into a single integrated chip device. The receiver end portion, switch, frequency power detector, and symptom detector are all embedded in one chip, eliminating the need for separate components and computers while maintaining full detection and analysis capabilities.
Solution Approach 2:
The single chip device performs multiple functions including receiving antenna signals, generating conversion signals, performing switching operations, detecting frequency and power, classifying electromagnetic waves, and generating warning signals. This multi-functional integration reduces system volume while preserving comprehensive detection capability.
2Reliability
If traditional detection systems are used, then basic detection function is provided, but the system consumes excessive power and is difficult to miniaturize
Solution Approach 1:
Integrating all detection and processing functions into a single chip reduces the number of separate power-consuming components. The unified architecture allows for more efficient power management and lower overall power consumption while maintaining full detection functionality.
Solution Approach 2:
The patent employs a switch that can change gain according to signal characteristics, and uses variable gain amplifiers that can adjust their operation parameters. This allows the system to optimize power consumption based on the actual detection requirements and signal conditions.
3Measurement precision
If multiple output signal lines are used for high-speed detection with ns-level precision, then detection speed and precision are improved, but the system becomes larger and more complex
Solution Approach 1:
The patent integrates the frequency detector and symptom detector into a single chip with unified processing. The receiver end portion generates conversion signals that are processed through a switch and into the frequency power detector, which then feeds the symptom detector. This integrated architecture achieves high-speed detection with ns-level precision while reducing the number of separate output signal lines and overall system complexity.
4Reliability
If separate computer control is used for electromagnetic wave detection, then comprehensive analysis is achieved, but the system becomes costly and difficult to embed in multiple instances
Solution Approach 1:
The patent combines all analysis capabilities including frequency detection, power detection, and electromagnetic wave classification into a single chip device. The symptom detector classifies electromagnetic waves using frequency and power information generated by the integrated frequency power detector, eliminating the need for separate computer systems and reducing manufacturing costs.
Solution Approach 2:
The single chip device can be mass-produced and embedded in multiple systems at low cost. The integrated design allows for standardized manufacturing and deployment in various applications such as autonomous vehicles, drones, and robots without requiring expensive separate computer systems for each instance.
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
The solution allows for the development of small, lightweight, low-power, and low-cost electromagnetic wave detection systems that can be easily integrated into various systems, such as autonomous vehicles and drones, and enables rapid analysis of EMI patterns to detect potential threats.
Implementation Method 1
a receiving end portion configured to receive at least one antenna signal from an antenna block and generate at least one conversion signal
Implementation Method 2
a switch operatively connected to the receiving end portion and configured to perform switching to change a gain according to characteristics of the at least one antenna signal
Implementation Method 3
a frequency power detector operatively connected to the switch and configured to generate frequency information and power information using the at least one conversion signal
Implementation Method 4
a frequency power detector operatively connected to the switch and configured to generate frequency information and power information
Implementation Method 5
a symptom detector operatively connected to the frequency power detector and configured to classify an electromagnetic wave using the frequency information and the power information
Data Source
AI summary
An electromagnetic wave detection device in which a frequency detector including a fast response rate and a function of classifying electromagnetic waves and generating a warning signal are embedded in a single chip device. The electromagnetic wave detection device includes a receiving end portion configured to receive at least one antenna signal from an antenna block and generate at least one conversion signal, a switch configured to perform switching to change a gain according to characteristics of the at least one antenna signal and generate the at least one conversion signal, a frequency power detector configured to generate frequency information and power information using the at least one conversion signal, and a symptom detector configured to classify an electromagnetic wave using the frequency information and the power information.