Distant Oscillating Object Detection Using Power Spectrum Analysis
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Solution Overview
Problem
Detecting unmanned aerial vehicles (UAVs) and other oscillating objects at long distances is challenging due to limitations in existing detection methods, such as camera imagery and LIDAR, which can lead to false positives and negatives, and laser Doppler vibrometers have limited standoff distances.
Innovation Solution
A method and system using electromagnetic radiation to emit and receive signals from oscillating objects, transforming the data to a power spectrum to detect characteristics like frequency and amplitude, distinguishing objects from background clutter by analyzing spectral lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If camera imagery or LIDAR is used for detection, then detection can be performed, but false positives and false negatives occur
Solution Approach 1:
The patent applies mechanical vibration by detecting oscillations of the target object using laser Doppler vibrometry. The system measures vibration characteristics (frequency, amplitude) of the object, which serve as unique identifiers to distinguish the object from background clutter. This vibration-based detection resolves the contradiction by providing reliable detection through physical motion signatures rather than visual or intensity-based methods that cause false positives.
Solution Approach 2:
The patent changes the detection parameter from visual/image-based detection to vibration frequency-based detection. By transforming the detection approach to measure oscillation parameters (frequency spectrum analysis), the system achieves both high reliability and precision. The power spectrum analysis of vibration signals provides unique spectral lines that precisely identify objects while maintaining high reliability in distinguishing them from background elements.
2Measurement precision
If laser Doppler vibrometer is used, then oscillation detection is achieved, but standoff distance is limited
Solution Approach 1:
The patent employs periodic action by using pulsed laser illumination rather than continuous wave. The pulsed laser emits periodic bursts of light that illuminate the object, and the reflected light is collected during these pulses. This periodic illumination extends the standoff distance capability while maintaining oscillation detection precision, as the time-gated detection allows measurement of vibrations from distant objects that would be too weak for continuous wave systems.
3Length of stationary object
If detection methods are used to identify objects at long distances, then detection range is extended, but ability to distinguish from background clutter decreases
Solution Approach 1:
The patent uses mechanical vibration characteristics as unique signatures to distinguish objects from background clutter at long distances. By measuring the vibration frequency and amplitude of the target object, the system obtains distinctive spectral lines that serve as fingerprints. This approach maintains high object discrimination capability even at extended ranges where visual or intensity-based methods fail to differentiate targets from background elements.
Solution Approach 2:
The patent changes the detection parameter to vibration frequency spectrum, which provides unique identification characteristics. The power spectrum analysis reveals distinct spectral lines for different objects, enabling precise discrimination. This parameter transformation from spatial/intensity domain to frequency domain maintains discrimination capability at long distances where spatial resolution and intensity contrast deteriorate.
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
Accurately detects oscillating objects at various distances, reducing false positives and negatives by identifying unique oscillation frequencies and amplitudes, enabling differentiation from background entities like birds.
Implementation Method 1
receiving, by a receiver, second electromagnetic radiation reflected by the object
Implementation Method 2
transforming, by the controller, the ranging data to a power spectrum
Data Source
AI summary
Methods and apparatus for detecting characteristics of oscillations of objects are provided. The method comprises emitting, by an emitter, first electromagnetic radiation towards the object. The object is oscillating at a first frequency. The method comprises receiving, by a receiver, second electromagnetic radiation reflected by the object and generating, by a controller, ranging data based on the received second electromagnetic radiation. The method comprises transforming, by the controller, the ranging data to a power spectrum, and detecting, by the controller, at least one characteristic of the oscillations of the object based on the power spectrum.