scholarly journals A Real-Time GPP Software-Defined Radio Testbed for the Physical Layer of Wireless Standards

2005 ◽  
Vol 2005 (16) ◽  
Author(s):  
R. Schiphorst ◽  
F. W. Hoeksema ◽  
C. H. Slump
Keyword(s):  
Real Time ◽  
Software Defined Radio ◽  
Physical Layer ◽  
Wireless Standards

scholarly journals SCATTER PHY: An Open Source Physical Layer for the DARPA Spectrum Collaboration Challenge

Electronics ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 1343 ◽  
Author(s):  
Felipe A. P. de Figueiredo ◽  
Dragoslav Stojadinovic ◽  
Prasanthi Maddala ◽  
Ruben Mennes ◽  
Irfan Jabandžić ◽  
...  
Keyword(s):  
Research And Development ◽  
Open Source ◽  
Real Time ◽  
Software Defined Radio ◽  
Spectrum Sharing ◽  
The United States ◽  
Radio Spectrum ◽  
Physical Layer ◽  
Phy Layer ◽  
And Performance

DARPA, the Defense Advanced Research Projects Agency from the United States, has started the Spectrum Collaboration Challenge with the aim to encourage research and development of coexistence and collaboration techniques of heterogeneous networks in the same wireless spectrum bands. Team SCATTER has been participating in the challenge since its beginning, back in 2016. SCATTER’s open-source software defined physical layer (SCATTER PHY) has been developed as a standalone application, with the ability to communicate with higher layers through a set of well defined messages (created with Google’s Protocol buffers) and that exchanged over a ZeroMQ bus. This approach allows upper layers to access it remotely or locally and change all parameters in real time through the control messages. SCATTER PHY runs on top of USRP based software defined radio devices (i.e., devices from Ettus or National Instruments) to send and receive wireless signals. It is a highly optimized and real-time configurable SDR based PHY layer that can be used for the research and development of novel intelligent spectrum sharing schemes and algorithms. The main objective of making SCATTER PHY available to the research and development community is to provide a solution that can be used out of the box to devise disruptive algorithms and techniques to optimize the sub-optimal use of the radio spectrum that exists today. This way, researchers and developers can mainly focus their attention on the development of smarter (i.e., intelligent algorithms and techniques) spectrum sharing approaches. Therefore, in this paper, we describe the design and main features of SCATTER PHY and showcase several experiments performed to assess the effectiveness and performance of the proposed PHY layer.

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
Sign in / Sign up

Export Citation Format

Share Document