scholarly journals FPGA-Based Software-Defined Radio and Its Real-Time Implementation Using NI-USRP

10.5772/66272 ◽  
2017 ◽  
Author(s):  
Nikhil Marriwala ◽  
Om. Prakash. Sahu ◽  
Anil Vohra
Keyword(s):  
Real Time ◽  
Software Defined Radio

scholarly journals Tracking of Aircrafts Using Software Defined Radio (SDR) With An Antenna

2021 ◽  
pp. 660-665
Author(s):  
H. Venkatesh Kumar ◽  
Surabhi. G ◽  
Neha V ◽  
Sandesh. Y. M ◽  
Sagar Kumar. H. S
Keyword(s):  
Real Time ◽  
Software Defined Radio ◽  
Air Transportation ◽  
Transportation System ◽  
Air Traffic ◽  
Next Generation ◽  
System Implementation ◽  
Traffic Surveillance ◽  
Radar Systems

Automatic Dependent Surveillance-Broadcast (ADS-B) is one in all the favoured technologies employed in air traffic surveillance. The ADS- B uses a band of 1090 MHz. ADS-B is attended with the prevailing radar-based technologies to locate aircraft. The Next Generation Air Transportation System (NGATS) conflicts can be detected and resolved by the coexistence of radar systems and ADS-B. Here we tend to track the aircraft using Software Defined Radio, hence the complexness and the value of ADS-B system implementation is drastically reduced. SDR can receive multiple numbers of aircraft information like altitude, latitude, longitude, speed, and direction in real-time and displayed by using an appropriate antenna. The usage of SDR maximizes the coverage of data with accuracy and may accomplish timely.

Toward Polymorphic Internet of Things Receivers Through Real-Time Waveform-Level Deep Learning

2022 ◽  
Vol 25 (3) ◽  
pp. 28-33
Author(s):  
Francesco Restuccia ◽  
Tommaso Melodia
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Real Time ◽  
Software Defined Radio ◽  
Wireless Systems ◽  
Physical World ◽  
Wireless Protocols ◽  
Key Innovation ◽  
Custom Made ◽  
Time Waveform

Wireless systems such as the Internet of Things (IoT) are changing the way we interact with the cyber and the physical world. As IoT systems become more and more pervasive, it is imperative to design wireless protocols that can effectively and efficiently support IoT devices and operations. On the other hand, today's IoT wireless systems are based on inflexible designs, which makes them inefficient and prone to a variety of wireless attacks. In this paper, we introduce the new notion of a deep learning-based polymorphic IoT receiver, able to reconfigure its waveform demodulation strategy itself in real time, based on the inferred waveform parameters. Our key innovation is the introduction of a novel embedded deep learning architecture that enables the solution of waveform inference problems, which is then integrated into a generalized hardware/software architecture with radio components and signal processing. Our polymorphic wireless receiver is prototyped on a custom-made software-defined radio platform. We show through extensive over-the-air experiments that the system achieves throughput within 87% of a perfect-knowledge Oracle system, thus demonstrating for the first time that polymorphic receivers are feasible.

Study of real-time rocket direction using software defined radio

2021 ◽  
Author(s):  
Rustamaji ◽  
A. Prayogi ◽  
S. Kliwati ◽  
W. Widada
Keyword(s):  
Real Time ◽  
Software Defined Radio

Real-time decoding of automatic dependent surveillance – Broadcast signals by using software-defined radio and MATLAB®

2019 ◽  
pp. 002072091988424
Author(s):  
Héctor Poveda ◽  
Guillaume Ferré ◽  
Romain Tajan
Keyword(s):  
Real Time ◽  
Software Defined Radio

Handling real-time video traffic in software-defined radio access networks

2015 ◽  
Author(s):  
Ngoc-Dung Dao ◽  
Hang Zhang ◽  
Hamid Farmanbar ◽  
Xu Li ◽  
Aaron Callard
Keyword(s):  
Real Time ◽  
Software Defined Radio ◽  
Access Networks ◽  
Video Traffic ◽  
Radio Access Networks ◽  
Radio Access

Design and implementation of real-time wideband software-defined radio applications with GPGPUs

2018 ◽  
Vol 30 (21) ◽  
pp. e4791 ◽  
Author(s):  
Alparslan Fisne ◽  
Adnan Ozsoy
Keyword(s):  
Real Time ◽  
Software Defined Radio ◽  
Design And Implementation

Real-Time Multi-Channel TVWS Sensing Prototype Using Software Defined Radio

2018 ◽  
Author(s):  
Faroq Awin ◽  
Aarron Younan ◽  
Danilo Corral-De-Witt ◽  
Kemal Tepe ◽  
Esam Abdel-Raheem
Keyword(s):  
Real Time ◽  
Software Defined Radio

A Real-Time Software Defined Radio Platform for LTE-Advanced Heterogeneous Networks

2016 ◽  
Author(s):  
Peng Li ◽  
◽  
Yunjian Jia ◽  
Mingjun Feng ◽  
Changrong Ye ◽  
...  
Keyword(s):  
Real Time ◽  
Heterogeneous Networks ◽  
Software Defined Radio ◽  
Lte Advanced

scholarly journals SDR Based Energy Detection Spectrum Sensing in Cognitive Radio for Real Time Video Transmission

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Rupali B. Patil ◽  
K. D. Kulat ◽  
A. S. Gandhi
Keyword(s):  
Cognitive Radio ◽  
Real Time ◽  
Spectrum Sensing ◽  
Software Defined Radio ◽  
Video Transmission ◽  
Energy Detection ◽  
Primary User ◽  
Data Traffic ◽  
Real Time Transmission ◽  
Is Design

Cognitive radio is a budding approach which helps to address the imminent spectrum crisis by dynamic spectrum allocation and support the increased data traffic with an intelligent mechanism of Software Defined Radio (SDR). SDR avoid the frequent modifications in the hardware structure with the use of software defined protocols. The main novelty of the paper is an effective implementation of CR using energy based spectrum sensing method which is done on GNU radio for real time transmission of video as a primary user. From evaluation results, one can see that the proposed system can indicate the frequency band occupancy by setting the detection output. Detection output changes to one with start of video transmission. Motivation behind this work is design of a spectrum sensing method which is best suited for detection of white spaces during the transmission of video as a primary user on SDR platform.

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