Space-qualified LiDAR System with MEMS Scanning
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Solution Overview
Problem
Conventional LiDAR systems are slow, inaccurate, and too large for applications like space exploration and military surveillance, failing to provide the necessary capabilities for high-resolution, real-time imaging and ranging measurements.
Innovation Solution
A LiDAR system comprising a space-qualified transmitter, receiver, imager, and reference cubes, utilizing a MEMS scanning mechanism with a long wave infrared camera and laser range finder, and featuring a narrow and wide field of view visual camera, along with radiation-hardened components for improved accuracy and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional LiDAR components are used, then the system can perform basic ranging measurements, but the system becomes slow, inaccurate, and too large for space exploration applications
Solution Approach 1:
The LiDAR system is divided into separate functional modules: a transmitter module with laser diode array, a receiver module with photodiodes, an imager module, and control electronics. This segmentation allows each component to be optimized independently for space applications, reducing overall mass while maintaining measurement precision through specialized design of each subsystem
Solution Approach 2:
The system employs advanced laser diodes operating at specific wavelengths optimized for atmospheric transmission, uses photodiodes with enhanced sensitivity, and implements sophisticated time-correlated single-photon counting (TCSPC) methodology. These parameter changes in component specifications and operational characteristics enable centimeter-level ranging accuracy with reduced system mass compared to conventional LiDAR
2Measurement precision
If conventional LiDAR components are used, then the system can capture basic range data, but the imaging resolution and real-time capability are insufficient
Solution Approach 1:
The LiDAR system continuously transmits laser pulses at high repetition rates and continuously processes returning photons using TCSPC methodology. This continuous operation enables real-time generation of high-resolution 3D images, maintaining both imaging resolution and productivity by eliminating idle periods and processing delays through parallel photon counting across multiple photodiodes
Solution Approach 2:
The system replaces mechanical scanning systems with a combination of laser diode array direct illumination and sophisticated electronic timing control. This substitution eliminates mechanical moving parts that limit speed and resolution, enabling real-time high-resolution imaging through electronic pulse control and parallel photon detection across multiple channels
3Measurement precision
If conventional timing components are used, then the system can measure time of flight, but the measurements are slow and inaccurate
Solution Approach 1:
The system uses time-correlated single-photon counting where each photon independently provides a time stamp of its arrival. This self-service timing methodology, where individual photons carry their own temporal information, enables both high precision (centimeter-level ranging accuracy) and high speed (millions of photons per second processed) without requiring complex external timing synchronization systems
Solution Approach 2:
The LiDAR system employs periodic laser pulse transmission at optimized repetition rates, with each pulse triggering a new measurement cycle. This periodic action, combined with continuous photon counting, enables high-speed measurements by systematically sampling targets at regular intervals while maintaining accuracy through statistical accumulation of photon arrival times across many periodic cycles
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-resolution, real-time imaging and ranging with centimeter-level accuracy, reduced mass and power consumption, and flexibility in generating 16 Megapixel range images, suitable for non-cooperative orbital rendezvous and harsh environments.
Implementation Method 1
Light Detection and Ranging (LiDAR) is a remote sensing technology that uses light pulses to measure ranges or distances of an object
Implementation Method 2
Conventional components used to provide time of flight estimations can be slow, inaccurate, or too large
Data Source
AI summary
Various embodiments relate to a light detecting and ranging (LiDAR) system including: a space-qualified transmitter including a space-qualified microelectromechanical system (MEMS); a space-qualified receiver; a space-qualified short-range imager connected to the space-qualified receiver; a space-qualified long-range imager connected to the space-qualified receiver.