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Real-time channel emulation of a geometry-based stochastic channel model on a SDR platform

机译:SDR平台上基于几何随机信道模型的实时信道仿真

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In wireless vehicular communication, channel properties change rapidly over time. Both, the transmitter and the receiver, are moving, which generates not only time and frequency (doubly) selective channels but also channel statistics that are non-stationary, i.e., they change over time. New wireless vehicular communication systems for connected autonomous vehicles require validation and verification in vehicular environments to assure their proper functionality. To avoid time intensive, costly and difficult to repeat real-world measurements on the road, real-time channel emulators that target on emulating the wireless vehicular channel as accurately as possible, are needed. In this paper, we present a real-time channel emulator based on a software defined radio platform that is able to emulate real-valued path delays and Doppler shifts within a certain delay and Doppler region. The emulator uses a low-complexity subspace expansion model where the emulation complexity on the field programmable gate array (FPGA) is independent from the number of propagation paths. This makes it suitable to emulate realistic geometry-based non-stationary channel models with a large number of propagation paths.
机译:在无线车辆通信中,频道属性随时间迅速变化。两者,发射器和接收器都是移动,不仅是时间和频率(双重)选择性通道,而且还产生非静止的信道统计信息,即它们随时间变化。用于连接自动车辆的新无线车辆通信系统需要在车辆环境中验证和验证,以确保其适当的功能。为避免在道路上进行时间密集,昂贵,难以重复现实世界的测量,需要在尽可能准确地模拟无线车辆通道的实时通道仿真器。在本文中,我们基于软件定义的无线电平台介绍了一个实时信道仿真器,该软件能够在特定延迟和多普勒区域内模拟真实值的路径延迟和多普勒移位。仿真器使用低复杂性子空间扩展模型,其中字段可编程门阵列(FPGA)上的仿真复杂度独立于传播路径的数量。这使得适合于使用大量传播路径模拟基于现实的基于几何的非静止信道模型。

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