Free-space optical (FSO) links are competitive wireless links offering high data rate, security and low system complexity. For mobile applications, e.g., from a ground base station to an unmanned aerial vehicle (UAV), the FSO channel can suffer from severe instantaneous misalignment. This time varying misalignment is unknown to the transmitter and causes data packet corruption and erasure. As a result, the application of traditional fixed-rate erasure coding techniques is difficult. In this paper, we consider the application of rateless Raptor codes for such mobile FSO channels. Due to the high data rates required, short-length (16−1024) Raptor codes are designed and simulated on a severe jitter FSO channel. A key advantage of Raptor codes is their independence on channel state, no matter how large the misalignment. With a 1 Gbps transmitter, the designed Raptor code with k = 64 message packets offers 560 Mbps data rate and decoding cost of 4.14 operations per packet when transmitting power is 20 dBm. In contrast, a traditional automatic repeatrequest (ARQ) algorithm technique on the same FSO jitter channel achieves a rate of 60 Mbps.
A one-dimensional purely-viscous model that includes slip at solid boundaries is proposed to study the flow of polymeric materials when compressed between two approaching parallel surfaces. A squeeze-flow rheometer was designed and built to compress polymer melts under controlled conditions of constant closing speed and constant applied force for different conditions at the polymer-solid interface. One of the purposes of this study was to investigate how the interface conditions influence the flow field during squeezing. The experimental findings revealed that the model can adequately predict the squeezing force for slow squeezing of relatively thin samples. For fast squeezing, however, the experiments appear to suggest the need of including elongational effects in the modelling of the material behavior.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.