Software-Defined Radio/Digital Signal Processing-Based Cognitive System for Universal Software Radio Peripheral Satellite Signal Detection

Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking Pub Date : 1900-01-01 DOI:10.4018/978-1-5225-8188-8.CH011

G. Javidi

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Abstract

In this chapter, the author describes a software-defined radio (SDR)/digital signal processing (DSP)-based cognitive system that has been developed based on the universal software radio peripheral (USRP) and the GNU radio software platform to detect satellite signals. The USRP, running Ubuntu operating system, with interchangeable daughterboard, allows for a variety of experimental settings. The USRP Xilinx Vertex 3 FPGA chip can handle C++, Python, and/or VHDL device programming and configuration. The goal is to create a detector in C++ and Python to implement a cognitive system capable of recording the L1 signal from a DirecTV satellite. The GNU radio companion (GRC), an open source for building software defined radio, and Matlab/Simulink logic blocks are used to create the desired flow graph that results in building and generating the detector program. The proposed experiments explore the effects of different detection techniques, and provide some quantitative results on performance improvements via the software-defined radio approach.

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基于软件无线电/数字信号处理的通用软件无线电外围卫星信号检测认知系统

本章介绍了一种基于通用软件无线电外设(USRP)和GNU无线电软件平台开发的基于软件无线电(SDR)/数字信号处理(DSP)的卫星信号检测认知系统。USRP，运行Ubuntu操作系统，具有可互换的子板，允许各种实验设置。USRP Xilinx Vertex 3 FPGA芯片可以处理c++、Python和/或VHDL设备编程和配置。目标是用c++和Python创建一个检测器来实现一个能够记录来自DirecTV卫星的L1信号的认知系统。GNU无线电伙伴(GRC)，一个用于构建软件定义无线电的开源工具，以及Matlab/Simulink逻辑块用于创建所需的流程图，从而构建和生成检测器程序。提出的实验探讨了不同检测技术的影响，并通过软件定义无线电方法提供了一些性能改进的定量结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking

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