Back to Search
Start Over
Performance Improvement of Spaceborne Carbon Dioxide Detection IPDA LIDAR Using Linearty Optimized Amplifier of Photo-Detector
- Source :
- Remote Sensing, Volume 13, Issue 10, Pages: 2007, Remote Sensing, Vol 13, Iss 2007, p 2007 (2021)
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- The spaceborne double-pulse integrated-path differential absorption (IPDA) light detection and ranging (LIDAR) system was found to be helpful in observing atmospheric CO2 and understanding the carbon cycle. The airborne experiments of a scale prototype of China’s planned spaceborne IPDA LIDAR was implemented in 2019. A problem with data inversion caused by the detector module nonlinearity was found. Through many experiments, the amplifier circuit board (ACB) of the detector module was proved to be the main factor causing the nonlinearity. Through amplifier circuit optimization, the original bandwidth of the ACB was changed to 1 MHz by using a fifth-order active filter. Compared with the original version, the linearity of optimized ACB is improved from 42.6% to 0.0747%. The optimized ACB was produced and its linearity was verified by experiments. In addition, the output waveform of the optimized ACB changes significantly, which will affect the random error (RE) of the optimized IPDA LIDAR system. Through the performance simulation, the RE of more than 90% of the global area is less than 0.728 ppm. Finally, the transfer model of the detector module was given, which will be helpful for the further optimization of the CO2 column-averaged dry-air mixing ratio (XCO2) inversion algorithm.
- Subjects :
- linearity
amplifier circuit optimization
Materials science
010504 meteorology & atmospheric sciences
Science
Amplifier
Detector
carbon dioxide
Photodetector
Linearity
Ranging
01 natural sciences
010309 optics
Lidar
0103 physical sciences
General Earth and Planetary Sciences
Waveform
spaceborne IPDA LIDAR
random error
Active filter
0105 earth and related environmental sciences
Remote sensing
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 13
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....159c1e5916ad5d2c90675ee65a4c7c99