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

Software-Defined Radio/Digital Signal Processing-Based Cognitive System for Universal Software Radio Peripheral Satellite Signal Detection
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Author(s): Giti Javidi (University of South Florida, USA)
Copyright: 2019
Pages: 14
Source title: Strategic Innovations and Interdisciplinary Perspectives in Telecommunications and Networking
Source Author(s)/Editor(s): Natarajan Meghanathan (Jackson State University, USA)
DOI: 10.4018/978-1-5225-8188-8.ch011

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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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