Chaotic Signal LiDAR for Small-Displacement Detection
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Solution Overview
Problem
Traditional LIDAR systems face challenges in modulating highly random laser signals without increasing cost and are limited by the sampling frequency of the ADC, which affects accuracy in detecting small displacements.
Innovation Solution
A LIDAR system integrating a chaotic signal generating device, signal transmitting device, and signal processing system, utilizing a frequency domain phase modulation algorithm to generate and process chaotic signals, breaking through ADC sampling frequency limitations without high-speed modulators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If random timing modulation is performed on repetitive pulse signal, then mutual influence between different LIDARs is avoided, but transmission time intervals become non-fixed which deteriorates image resolution uniformity
Solution Approach 1:
The patent changes the modulation approach from random timing modulation to phase modulation of continuous chaotic signals. This parameter change allows maintaining fixed transmission intervals while achieving randomness through phase variations, thus preserving both anti-interference capability and image resolution uniformity.
2Adaptability or versatility
If high-speed modulator is used to modulate laser signal, then signal modulation capability is improved, but device complexity and system cost significantly increase
Solution Approach 1:
The patent replaces the mechanical/electronic high-speed modulator with a chaotic signal generating device that produces chaotic signals directly. This substitution eliminates the need for complex high-speed modulation hardware while achieving the desired signal randomness and anti-interference capability through the inherent properties of chaotic signals.
3Ease of manufacture
If lower sampling frequency is used to save cost, then system cost is reduced, but measurement precision of small displacements deteriorates
Solution Approach 1:
The patent changes the detection approach from direct time-domain sampling to frequency-domain phase analysis. By using phase modulation algorithms on chaotic signals, the system can achieve high measurement precision for small displacements without requiring high sampling frequencies, thus maintaining low system cost while improving 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 system achieves high randomness and anti-interference modulation, reduces system complexity and cost, and enhances accuracy in detecting small displacements.
Implementation Method 1
The feedback device is coupled to the laser generator, and configured to receive the laser signal, generate the chaotic signal and a feedback signal according to the laser signal, and transmit the adjusted feedback signal to the laser generator
Implementation Method 2
determine a delay time according to the reference signal and the reflected signal by using a frequency domain phase modulation algorithm
Data Source
AI summary
A LIDAR system comprises a chaotic signal generating device, a signal transmitting device and a signal processing system sequentially coupled in series. The chaotic signal generating device is configured to generate a chaotic signal and comprises a feedback device and a laser generator configured to generate a laser signal. The feedback device is configured to receive the laser signal, generate the chaotic signal and a feedback signal according to a laser signal, and transmit the adjusted feedback signal to the laser generator. The signal transmitting device is configured to receive the chaotic signal, so as to generate a reference signal and detection signal, wherein the detection signal is transformed into a reflected signal after being reflected by an obstacle. The signal processing system is configured to receive the reference signal and the reflected signal, so as to determine a delay time by using a frequency domain phase modulation algorithm.