Open AccessOptimization and High-performance Hardware Implementation of Multipath Interference Compensation Algorithm
Author(s) -
Chuan Liu,
Shuyan Lang,
Cai Yuan-hu,
Qiang Wu
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1627/1/012005
Subject(s) - computer science , multipath interference , multipath propagation , compensation (psychology) , algorithm , interference (communication) , computer hardware , matlab , hardware architecture , real time computing , software , channel (broadcasting) , telecommunications , psychology , psychoanalysis , programming language , operating system
Our previous sparse regularization method for multipath interference (MPI) compensation in pulsed Time-of-Flight (ToF) depth camera works well on desktop computer. However, pulsed ToF depth cameras are mainly applied in fields such as autopilot vehicles and robots. In these situations, exporting depth images to a computer and running MPI compensation in MATLAB every time are not realistic. Therefore, according to the hardware structure of the multipath interference real-time compensation platform, we use QR decomposition to optimize the sensing matrix in our algorithm for better hardware implementation, while maintaining the accuracy of our algorithm. For the optimized algorithm, we designed an efficient parallel data processing hardware structure that matches the features of our algorithm to optimize the calculation efficiency. Then, we implemented it on the realtime compensation platform. The experimental results show that this algorithm architecture runs stably under the clock frequency and it runs faster than desktop computer.