Improved SPGD Algorithm for Optical Phased Array Phase Calibration

被引：4

作者：

Wang, Zheng ^{[1
,2
]}

Yang, Yibo ^{[1
,2
]}

Wang, Ruiting ^{[1
,2
]}

Luo, Guangzhen ^{[1
,2
]}

Wang, Pengfei ^{[1
,2
]}

Su, Yanmei ^{[1
,2
]}

Pan, Jiaoqing ^{[1
,2
]}

Zhang, Yejin ^{[1
,2
]}

机构：

[1] Chinese Acad Sci, Inst Semicond, State Key Lab Integrated Optoelect, Beijing 100045, Peoples R China

[2] Univ Chinese Acad Sci, Ctr Mat Sci & Optoelect Engn, Beijing 101408, Peoples R China

来源：

APPLIED SCIENCES-BASEL | 2022年 / 12卷 / 15期

基金：

国家重点研发计划; 北京市自然科学基金;

关键词：

optical phased array; LiDAR; phase calibration algorithm; SPGD; temperature controlled OPA; DESIGN; OPTIMIZATION; COMPACT; SHIFTER;

D O I：

10.3390/app12157879

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

A chip-level optical beam steerer is an inevitable choice for next-generation light detection and ranging (LiDAR). The research on optical phased array (OPA) is the most intriguing. However, the complexity of control and calibration speed limit the full potential as the number of channels increases. In this paper, an improved stochastic parallel gradient-descent algorithm combined with the Nesterov accelerated gradient method (NSPGD) is presented and applied in a 512-channel OPA. This algorithm can reduce the phase calibration time of large-scale OPA and demonstrates a better convergence performance than traditional SPGD. Compared with the traditional SPGD and hill-climbing (HC) algorithm, optimized convergence performance of NSPGD is shown. The side mode suppression ratio (SMSR) of over 10dB for 512-channel OPA is obtained with the NSPGD algorithm, and the convergence speed is twice that of traditional SPGD. In addition, a temperature-controlled OPA is also studied to stabilize the whole calibration system.

引用

页数：9

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