RF-SITL: A Software-in-the-loop Channel Emulator for UAV Swarm Networks

Nicholas Mastronarde, Daniel Russell, Zhangyu Guan, George Sklivanitis, D. Pados, E. Bentley, M. Medley
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引用次数: 2

Abstract

We introduce RF-SITL, a radio frequency (RF) software-in-the-loop (SITL) channel emulator developed with GNU Radio and the University at Buffalo’s Airborne Networking and Communications (UB-ANC) emulator to enable integrated simulation of systems comprising multiple unmanned aerial vehicles (UAVs) interacting over a wireless communication channel. RF-SITL could be paired with any multi-robot simulator to enable I/Q sample-level fidelity simulation of communication interactions between the robots by accurately simulating channel effects, including interference, noise, distance-dependent path loss, and packet losses. RF-SITL works as follows: 1) it instantiates a virtual software-defined transceiver in GNU Radio for each UAV simulated in the UB-ANC Emulator; 2) it builds an interference channel model in which each network node receives the superposition of signals transmitted from other nodes; and 3) it synchronizes the location of each simulated UAV in the UB-ANC Emulator with the virtualized RF transceivers in RF-SITL, such that the communication channel between nodes can accurately model distance-dependent channel effects, such as path loss. With these capabilities, we can use both off-the-shelf and custom-built signal processing flowgraphs that simulate Gaussian Minimum Shift Keying (GMSK), 802.11-like Orthogonal Frequency Division Multiplexing (OFDM), and direct sequence spread-spectrum (DSSS) links in GNU Radio to simulate swarm UAV networks prior to their deployment in software-defined radios in a swarm UAV network.
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一种用于无人机群网络的软件在环信道仿真器
我们介绍RF-SITL,一种射频(RF)环内软件(SITL)信道模拟器,由GNU radio和布法罗大学的机载网络与通信(UB-ANC)模拟器开发,可以集成仿真由多个无人机(uav)组成的系统,这些无人机在无线通信信道上相互作用。RF-SITL可以与任何多机器人模拟器配对,通过精确模拟信道效应(包括干扰、噪声、距离相关路径损耗和包丢失),实现机器人之间通信交互的I/Q采样级保真仿真。RF-SITL的工作原理如下:1)它为在UB-ANC仿真器中仿真的每架无人机实例化一个GNU Radio中的虚拟软件定义收发器;2)建立干扰信道模型,其中每个网络节点接收来自其他节点的信号叠加;3)将UB-ANC仿真器中每架仿真无人机的位置与RF- sitl中的虚拟射频收发器同步,使节点间的通信信道能够准确模拟路径损耗等距离相关信道效应。有了这些功能,我们可以使用现成的和定制的信号处理流程图来模拟高斯最小移位键控(GMSK)、类似802.11的正交频分复用(OFDM)和GNU Radio中的直接序列扩频(DSSS)链路,在集群无人机网络中部署软件定义无线电之前模拟集群无人机网络。
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