Laser Radar Speed Calculator Dynamic Method Selection
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Solution Overview
Problem
Conventional laser radar devices do not select appropriate calculation methods based on the form of aerosols in atmospheric air, leading to degraded calculation accuracy and prolonged processing times for wind speed measurements.
Innovation Solution
A laser radar device that includes a laser light transmitter and receiver, a coherent integrator, a spectrum calculator, a signal to noise ratio calculator, and a peak value detector, which selects a speed calculation method based on the signal to noise ratio to accurately calculate wind speed in a short time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single fixed calculation method is used for wind speed measurement, then the device complexity is reduced, but the measurement precision degrades when aerosol conditions vary
Solution Approach 1:
The patent implements dynamic selection of calculation methods based on real-time SNR conditions. The system transitions from a static single-method approach to a dynamic multi-method system that adapts to changing aerosol conditions, thereby maintaining high measurement precision without excessive complexity
Solution Approach 2:
The patent changes the parameter of calculation method selection based on SNR threshold values. When SNR exceeds a threshold, one calculation method is selected; when it falls below, another method is selected. This parameter-based adaptation resolves the contradiction by linking method selection to actual measurement conditions
2Measurement precision
If computationally intensive calculation methods are always used, then the measurement precision is improved, but the processing time increases
Solution Approach 1:
The patent changes the computational complexity parameter based on SNR conditions. High-SNR conditions allow use of faster, simpler methods while maintaining accuracy, whereas low-SNR conditions trigger more computationally intensive methods only when necessary, thus optimizing the time-accuracy tradeoff
Solution Approach 2:
The patent applies partial computational effort matching the actual needs. When SNR is high, full computational power is not needed, so simpler methods suffice. When SNR is low, additional computational effort is applied selectively. This avoids always using maximum computational resources, reducing unnecessary processing time
3Productivity
If simple calculation methods are used regardless of conditions, then the processing speed is maintained, but the measurement precision degrades under low signal conditions
Solution Approach 1:
The patent implements feedback through SNR calculation and comparison against thresholds. The system continuously monitors signal quality and adjusts the calculation method accordingly, ensuring that processing speed is maintained when conditions permit while accuracy is preserved when conditions deteriorate
Solution Approach 2:
The patent makes the calculation method dynamic rather than fixed. The system adapts its processing approach based on real-time SNR measurements, transitioning between speed-optimized and accuracy-optimized methods as conditions change, thus resolving the speed-accuracy contradiction
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
Enables high-accuracy wind speed calculations in a short time by dynamically selecting the appropriate calculation method based on the signal to noise ratio, improving both speed and accuracy of wind measurements.
Implementation Method 1
receives laser light which is reflected by an aerosol existing in the atmospheric air and returns thereto (laser light which receives a Doppler frequency shift according to the movement speed of the aerosol as the aerosol moves)
Implementation Method 2
a coherent integrator that performs a coherent integration on the received signal outputted from the laser light transmitter and receiver
Implementation Method 3
a spectrum calculator that performs a Fourier transform on the received signal on which the coherent integration is performed by the coherent integrator and performs an incoherent integration on the received signal after the Fourier transform to calculate a spectrum of the received signal
Data Source
Figure 1
Figure 2
Figure 3~4
AI summary
A speed calculator 16 selects a speed calculation method corresponding to a peak value of an SNR which is detected by a peak SNR detector 15 from among a plurality of speed calculation methods of calculating the speed (wind speed) of an aerosol to calculate the speed (wind speed) of the aerosol according to the speed calculation method. As a result, there is provided an advantage of being able to calculate the speed (wind speed) of the aerosol in a short time with a high degree of accuracy.