scholarly journals Ultra Low-Cost Software-Defined Radio: A Mobile Studio for Teaching Digital Signal Processing

2020 ◽  
Author(s):  
Cory Prust ◽  
Steven Holland ◽  
Richard Kelnhofer
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Defined Radio ◽  
Low Cost ◽  
Digital Signal

scholarly journals Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio

2019 ◽  
Vol 22 (4) ◽  
pp. 18-30
Author(s):  
Oleg V. Vorobyov ◽  
Alexey I. Rybakov
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Architecture ◽  
Software Defined Radio ◽  
Communication Systems ◽  
Digital Signal ◽  
Transmission Protocol ◽  
Radio System ◽  
Functional Description ◽  
System Layout

Introduction. The demodulator structure is described and decoding algorithm for signal-code constructions development is presented. The structure and functional description of the developed software (SW), which is designed for the installation of the software-defined radio in the radio stations layout, are presented. The frame structures of the broadcast and half-duplex protocols, modulation/demodulation and subsequent digital signal processing in existing and prospect radio communication systems are considered.Objective. Investigation of modulation/demodulation methods and subsequent digital signal processing along with requirements imposed by them on the network stations equipment and system operation algorithms.Materials and methods. The software for the software-defined radio system layout is developed to demonstrate the reliability and operability of the proposed algorithm and transmission protocol. It can be used to receive and transmit information by using ionospheric reflections. Present design takes into account existing standards and amateur systems such as WinLink and information systems (digital and analog) for the "physical" and "channel" levels.Results. The structure and functional description of the developed software for the software-defined radio system layout are given. The possible realization of the software-defined radio channel for data receiving and transfer by using ionospheric reflections is presented. The results of technical solutions experimental testing are shown. The software can use hardware and software to control the transceiver module, which includes the SunSDR2 transceiver and antenna amplifier.Conclusion. The structure and functional description of the developed software are presented as a result of the software architecture selection and its application investigation. It is concluded that the reliability and operability justification of the proposed algorithm and transmission protocol is relevant in a field of the digital receivers development for communication systems of various purposes. The presented experimental studies data on verification of the proposed algorithm show the feasibility of present solutions on the qualitative utilization of the channel resource by using the described code structure. The present results allow to determine the most appropriate and efficient way of the software development allowing to create a technique that can meet the maximum number of possible assignments of radio access channels.

scholarly journals Software Defined Radio for Digital Signal Processing Related Courses

2016 ◽  
Author(s):  
Patrick Cutno ◽  
Chi-Hao Cheng ◽  
Zhiqiang Wu ◽  
Bin Wang ◽  
Deng Cao
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Defined Radio ◽  
Digital Signal

Real-Time Digital Signal Processing-Based Algorithm for Universal Software Radio Peripheral to Detect GPS Signal

2019 ◽  
pp. 241-254
Author(s):  
Ehsan Sheybani
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Real Time ◽  
Communication Systems ◽  
Low Cost ◽  
Software Radio ◽  
Digital Signal ◽  
Gps Satellites ◽  
Rf Communication ◽  
Universal Software Radio Peripheral

Software-defined radios (SDR) are gradually becoming a practical option for implementing RF communication systems due to their low cost, off-the-shelf availability, and flexibility. Although the analog limitations of the hardware devices in these systems create barriers to some applications, creative algorithms in digital signal processing (DSP) can improve the results. In some cases, this improvement is essential to establishing a robust and reliable communication. The universal software radio peripheral (USRP) is a popular hardware that can be used alongside the SDR. Among many capabilities of USRP and its changeable daughter boards is receiving GPS signals. The GPS satellites transmit data on two main frequencies, L1 (1575.42 MHz) and L2 (1227.60 MHz). In this chapter, the focus is on describing a detailed implementation of the real-time DSP-based algorithm for USRP to detect GPS signal, namely the L1 band that transmits at 1575.42 MHz.

scholarly journals Review Paper on Innovation of Advanced Noise Reduction Technique for Better Audibility Process

2021 ◽  
Vol 9 (11) ◽  
pp. 2025-2028
Author(s):  
Dr. Anita Pati
Keyword(s):  
Signal Processing ◽  
Hearing Loss ◽  
Digital Signal Processing ◽  
Noise Reduction ◽  
Hearing Aid ◽  
Low Cost ◽  
Digital Signal ◽  
Signal Processing Algorithm ◽  
Main Complaint ◽  
The People

Abstract: Now a days there are many people affected by hearing loss that make them disabled as they cannot communicate properly .The main complaint of people with hearing loss is low ability to deduce speech in a noisy environment. Hearing aid is a delicate instrument, which can acquire, process and feedback realistic signal in real time. In this matter various apparent opposition matching algorithm, various filtering methods, digital signal processing algorithm and echo cancellation are developed and implemented. The purpose of this object is to develop the digital signal processing based platform for digital hearing aid technique, which is for the people with hearing impairment using the low cost fuzzy orange pi model. To Perform this Application fuzzy algorithm is used which is quite easy to implement and required less operative computation. The algorithms are performed using MATLAB language which gives the best clarity and simulated functionality over MATLAB. Keywords: Speech Recognition, Noise Reduction, SNR, Fuzzy Masking Technique

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

2019 ◽  
pp. 213-226
Author(s):  
Giti Javidi
Keyword(s):  
Signal Processing ◽  
Digital Signal Processing ◽  
Software Defined Radio ◽  
Software Radio ◽  
Digital Signal ◽  
Cognitive System ◽  
Gnu Radio ◽  
Performance Improvements ◽  
Quantitative Results ◽  
Universal Software Radio Peripheral

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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