Frequency Diversity Radar for Passive Object Detection
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Solution Overview
Problem
Existing radar-based techniques, such as synthetic aperture radar (SAR), struggle to detect non-radiating large structures effectively, especially in unfavorable environmental conditions, due to minimal amplitude deviation and resonance issues.
Innovation Solution
The use of frequency diversity change detection methods, where a radar system transmits signals across multiple frequency bands to generate a large number of low-resolution SAR maps, increasing the likelihood of coherent retroreflection and resonance detection, allowing for quick and automatic identification of passive objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If SAR techniques are used to detect large non-radiating objects, then the imaging system can map the area, but the object becomes almost invisible due to minimal amplitude deviation
Solution Approach 1:
The patent changes the frequency parameter by transmitting signals across multiple frequency bands instead of a single frequency. This allows the system to capture resonance retroreflections that occur at specific frequencies, transforming the undetectable minimal amplitude deviation into detectable resonance signals that reveal the presence of large non-radiating objects
2Measurement precision
If optical imaging is used to capture images of the area, then the object can be visually detected, but the analysis becomes slow and labor-intensive requiring machine and human image analysts
Solution Approach 1:
The patent replaces the mechanical/optical image analysis process with an automated signal processing system. By using radar signals and processing the returned echoes through computational algorithms, the system automatically detects objects without requiring manual image analysis, thereby eliminating the time loss associated with human analysts while maintaining detection accuracy
3Measurement precision
If optical imaging is used to detect objects, then images can be captured, but the object may not be captured in unfavorable environmental conditions such as clouds, rain, snow, or at night time
Solution Approach 1:
The patent substitutes optical imaging with radar-based electromagnetic wave transmission and reception. Radar waves can penetrate clouds, rain, and snow, and operate independently of ambient light conditions, thereby providing all-weather and day-night detection capability that overcomes the environmental limitations of optical systems
Solution Approach 2:
The patent changes the wavelength parameter by using radio frequency electromagnetic waves instead of visible light. This parameter change enables the detection system to operate effectively in unfavorable environmental conditions where optical waves are blocked or scattered, as radio waves have longer wavelengths that can penetrate atmospheric obstacles
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
This approach enhances the detection of non-radiating large structures by increasing the probability of resonance retroreflection, enabling rapid and easy detection in both favorable and unfavorable conditions, improving the efficiency of object search and location processes.
Implementation Method 1
a radar transmitter configured to transmit a first signal representative of a plurality of frequency bands
Implementation Method 2
increasing the likelihood of coherent retroreflection and resonance detection
Implementation Method 3
a radar receiver configured to generate a plurality of synthetic aperture radar maps based on a second signal representative of a reflection of the first signal
Data Source
AI summary
Technologies for detecting a passive object through the use of frequency diversity to find at least a resonant peak are disclosed. For example, a radar system may illuminate a suspect area with a pulsed radio wave based on a large number of frequency bands and based on parameters associated with the passive object. The reflected radio wave may be processed to generate synthetic aperture radar (SAR) maps associated with the frequency bands. The SAR maps may be analyzed and compared to determine large deviation amplitudes that may indicate a location of the passive object.