基于fpga的先进多功能无人机有效载荷OFDM通信设计与实现

J. C. Porcello
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引用次数: 8

摘要

无人航天飞行器(uav)已经成为一个无处不在的平台,用于各种各样的航天任务。这些任务涵盖了从搜索和救援到提供当地实时态势感知(SA)的广泛范围。最终,需要实时任务信息的无人机任务受到机载传感器信号处理量、机载传感器处理算法的大小、类型和复杂性以及通过机载通信链路实时向用户移动任务信息的能力的限制。先进的多功能无人机有效载荷不仅支持传感器处理,还支持附加的机载数字信号处理(DSP)和高带宽空对空和空对地通信。这种设计方法将信号处理负载和通信带宽挑战都推到了无人机有效载荷中。这带来了实时能力,增加了无人机的性能范围,以增加有效载荷复杂性为代价,允许超出低带宽传感器处理的功能。本文讨论了利用现场可编程门阵列(fpga)设计和实现这种先进多功能无人机有效载荷。具体而言,本文讨论了基于FPGA的无人机有效载荷设计,以支持传感器处理,最大化板载DSP算法处理,以及基于高带宽正交频分复用(OFDM)的通信。此外,本文重点研究了级联频域(CFD)滤波技术和专用子载波的使用,以解决高多普勒和多普勒速率环境(如无人机通信)中OFDM频率采集和跟踪的挑战性任务。文中给出了利用CFD滤波进行频率采集和跟踪的设计数据,以及OFDM通信同步的参考电路。最后,给出了一个基于Xilinx Virtex-6 fpga的OFDM负载设计实例来说明本文所讨论的概念。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing and implementing OFDM communications for Advanced Multifunction UAV payloads using FPGAs
Unmanned Aerospace Vehicles (UAVs) have become a ubiquitous platform for a wide variety of aerospace missions. Such missions cover a broad range from Search and Rescue to providing real-time Situational Awareness (SA) of a local area. Ultimately UAV missions that require real-time mission information are limited by the amount of on-board signal processing for the sensors, onboard sensor processing algorithm size, type and complexity as well as the capability to move mission information in real-time to Users via on-board communication links. Advanced Multifunction UAV payloads support not only sensor processing, but additional on-board Digital Signal Processing (DSP) and high bandwidth air-to-air and air-to-ground communications. Such a design approach pushes both the signal processing load and the communications bandwidth challenges into the UAV payload. This results in real-time capabilities that increase the performance envelope of UAVs allowing functionality beyond low bandwidth sensor processing at the cost of increased payload complexity. This paper discusses the design and implementation of such Advanced Multifunction UAV payloads using Field Programmable Gate Arrays (FPGAs). Specifically, this article discusses FPGA based UAV payload design to support sensor processing, maximizing on-board DSP algorithm processing, and high bandwidth Orthogonal Frequency Division Multiplexing (OFDM) based communications. Furthermore, this paper focuses on the use of Cascaded Frequency-Domain (CFD) filtering techniques and dedicated subcarrier tones to solve the challenging task of OFDM frequency acquisition and tracking in high Doppler and Doppler rate environments such as UAV communications. Design data for frequency acquisition and tracking using CFD filtering is provided in the paper, as well as reference circuits for synchronization of OFDM communications. Finally, an example OFDM payload design based on Xilinx Virtex-6 FPGAs is provided to illustrate the concepts discussed in the paper.
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