Literature DB >> 14526825

Detection and false-alarm probabilities for laser radars that use Geiger-mode detectors.

Daniel G Fouche1.   

Abstract

For a direct-detection laser radar that uses a Geiger-mode detector, theory shows that the single-pulse detection probability is reduced by a factor exp(-K), where K is the mean number of primary electrons created by noise in the interval t between detector turn-on and arrival of laser photons reflected from the target. The corresponding false-alarm probability is at least 1 - exp(-K). For fixed-rate noise, one can improve the detection and false-alarm probabilities by reducing t. Moreover, when background-light noise is significant and dominates dark-current noise and when the laser signal is of the order of ten photoelectrons or more, the probabilities can be improved by reducing the amount of light falling on the detector, even if the laser signal is reduced by the same factor as the background light is. Additional analytical calculations show that identifying coincidences in data from as few as three pulses canreduce the false-alarm probability by orders of magnitude and, for some conditions, can also improve the detection probability.

Entities:  

Year:  2003        PMID: 14526825     DOI: 10.1364/ao.42.005388

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  3 in total

1.  Simulation of a Geiger-mode imaging LADAR system for performance assessment.

Authors:  Seongjoon Kim; Impyeong Lee; Yong Joon Kwon
Journal:  Sensors (Basel)       Date:  2013-07-03       Impact factor: 3.576

2.  Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar.

Authors:  Yang Yu; Bo Liu; Zhen Chen
Journal:  Sensors (Basel)       Date:  2019-08-20       Impact factor: 3.576

3.  A Dispersion Compensation Method Based on Resampling of Modulated Signal for FMCW Lidar.

Authors:  Shuo Jiang; Bo Liu; Shengjie Wang
Journal:  Sensors (Basel)       Date:  2021-01-02       Impact factor: 3.576

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.