Radar Detection Device Using Signal Segmentation and Frequency Transformation
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Solution Overview
Problem
Radar detection systems face complexity in computing processes, leading to increased hardware requirements and costs, necessitating a simplification to enhance computing efficiency and reduce detection time for accurate target distance and speed calculations in dynamic environments.
Innovation Solution
A detection device comprising a transmitter, receiver, and processing module that performs time-domain to frequency-domain transformation, integration, and threshold-based signal decomposition to reduce computational complexity and improve efficiency, allowing for rapid target detection and noise elimination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If advanced computers or high performance processors are used to rapidly and correctly analyze the motion state and relative location of targets, then the detection accuracy and response speed are improved, but the production cost and maintenance fee increase
Solution Approach 1:
The patent segments the complex three-dimensional detection problem into multiple two-dimensional detection planes. By dividing the detection space into different planes (e.g., range-Doppler planes, azimuth-elevation planes), the system can process each plane independently using simpler computational algorithms, then integrate the results to achieve accurate three-dimensional target localization and velocity measurement without requiring extremely high-performance processors
Solution Approach 2:
The patent transforms the three-dimensional detection problem into multiple two-dimensional detection problems by introducing additional dimensionality in the signal processing domain. Through Fourier transformation and other mathematical operations, the system maps spatial and temporal information into frequency domains, creating multi-dimensional signal representations that can be processed more efficiently while maintaining detection accuracy
2Speed
If advanced computers or high performance processors are used to rapidly and correctly analyze the motion state and relative location of targets, then the response speed is improved, but the production cost and maintenance fee increase
Solution Approach 1:
The patent segments the complex three-dimensional detection problem into multiple two-dimensional detection planes. By dividing the detection space into different planes (e.g., range-Doppler planes, azimuth-elevation planes), the system can process each plane independently using simpler computational algorithms, then integrate the results to achieve accurate three-dimensional target localization and velocity measurement without requiring extremely high-performance processors
Solution Approach 2:
The patent transforms the three-dimensional detection problem into multiple two-dimensional detection problems by introducing additional dimensionality in the signal processing domain. Through Fourier transformation and other mathematical operations, the system maps spatial and temporal information into frequency domains, creating multi-dimensional signal representations that can be processed more efficiently while maintaining detection 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
The solution significantly reduces detection time and improves computing efficiency by integrating signals into two-dimensional formats, decomposing them into one-dimensional signals, and comparing threshold-exceeding sites to determine target speed and location, thereby enhancing the accuracy and speed of radar detection systems.
Implementation Method 1
Radar detection system is a detection system that transmits electromagnetic signals. Detection signals, such as optical, acoustic or electromagnetic signals, transmitted by a transmitter are reflected by the target to generate reflection signals received by a receiver.
Implementation Method 2
The conversion unit is configured to convert the receiving signals into transformation signals by a time-domain to frequency-domain transformation.
Implementation Method 3
The location of the target is calculated using the time difference between transmitting the detection signals and receiving the reflection signals
Implementation Method 4
the relative speed of the target is calculated using the frequency shift between the detection signals and the reflection signals
Data Source
AI summary
The present invention provides a detection device and a method with simplified computing manner A transmitter transmits detection signals to an environment to detect a target. At least a portion of the detection signals are reflected by the target to generate a plurality of reflection signals. A receiver comprises a plurality of receiving units. Each of the receiving units receives the reflection signals to generate a receiving signal. A processing module connected to the receiver includes a conversion unit, an integration unit and a computing unit. The conversion unit converts the receiving signals into transformation signals by a time-domain to frequency-domain transformation. The integration unit integrates the transformation signals into a first integration signal and a second integration signal. The computing unit decomposes the first integration signal and the second integration signal to 1D arrays. The location or the speed of the target is determined by limiting target sites through detection algorithms and a crossed-validation method.