Boosting Ranging Performance of LiDAR Using Multi-Pulse Coherent Average

被引：18

作者：

Li, Xiaolu ^{[1
]}

Luo, Pei ^{[1
]}

机构：

[1] Beihang Univ, Sch Instrumentat & Optoelect Engn, State Key Lab Inertial Sci & Technol, Beijing 100191, Peoples R China

来源：

IEEE SENSORS JOURNAL | 2019年 / 19卷 / 15期

基金：

中国国家自然科学基金;

关键词：

ADC-based LiDAR; multi-pulse coherent average (MCA); SNR times precision (STP); signal-to-noise ratio (SNR); ranging performance; TO-DIGITAL CONVERTER; LASER; PRECISION; DESIGN; ERROR; NOISE;

D O I：

10.1109/JSEN.2019.2910561

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To boost the ranging performance (precision, detection range, and accuracy) of analog-to-digital converter-based (ADC) LiDAR, a multi-pulse coherent average (MCA) method was utilized to improve signal-to-noise ratio (SNR) and consequently enhance the ranging precision. Based on a self-developed LiDAR system, extensive simulations and experiments were performed to verify the theory analysis and demonstrate the following points. First, the MCA method can greatly enhance the root mean square (rms) ranging precision from 11.7 to 1.3 cm. Yet, it cannot improve ranging accuracy. Second, improved ranging precision depends mainly on the selection of the accumulative pulse number (APN) included in the MCA. Given the original pulse signal SNR of 39 dB, the ranging precision can be improved from 3.9 cm to less than 0.5 cm, when APN is set to 85. Third, increased APN will generally enhance ranging precision, within limits.

引用

页码：6270 / 6278

页数：9

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