scholarly journals Software Define Radio System for HF Noise Measurements

2017 ◽  
Vol 23 (3) ◽  
pp. 18-23
Author(s):  
Iulian Bouleanu ◽  
Vlad-Cosmin Vasile
Keyword(s):  
Time Spectrum ◽  
Radio Communication ◽  
Radio System ◽  
Different Types ◽  
Communication Links ◽  
Lightning Impulse ◽  
Noise Measurements ◽  
Radio Communication System ◽  
Technical Solutions ◽  
Reference Document

AbstractAccurate noise estimation in the HF band is a defining aspect in the evaluation of SNR for communication links. The reference document that specifies how different types of electromagnetic noise can be taken into account by radio communication system planners is the ITU-R Recommendation P.372.Meanwhile a series of studies have demonstrated that Gaussian noise in the HF band is not always valid because this band noise is strongly affected by atmospheric emission sources such as lightning impulse. This leads to the idea that a distribution suited to express the noise variance is the Bi-Kappa distribution. In addition, over the past decade, SDR devices and real-time spectrum analysers, which can be used to evaluate this noise, have registered explosive growth. This article indicates technical solutions and procedures used to estimate the noise level in the HF subband which can be used for Near Vertical Incidence Skywave (NVIS) communications and proposes a measurement system based on a SDR solution which meets these requirements.

USRP: A Flexible Platform for Spectrum Monitoring

2014 ◽  
Vol 610 ◽  
pp. 233-240 ◽  
Author(s):  
Jing Jing Yang ◽  
Ming Huang ◽  
Jiang Yu ◽  
Lin Li ◽  
Ling Li
Keyword(s):  
Signal Processing ◽  
Software Defined Radio ◽  
Time Spectrum ◽  
Radio Spectrum ◽  
Complex Signal ◽  
Radio Communication ◽  
Spectrum Monitoring ◽  
Processing Procedure ◽  
Radio Communication System ◽  
Web Publishing

Software-defined radio (SDR) is a kind of radio communication system which attempts to place much or most of the complex signal handling involved in receivers and transmitters into the digital style. As wireless technologies become ubiquitous, SDR are gaining popularity. In this work, we introduce the SDR platform USRP with emphasizes on hardware components, signal processing procedure and the supporting software. A radio spectrum monitoring system based on USRP and LabVIEW is designed and implemented, and web publishing of the real time spectrum is realized.

scholarly journals Distributed Coding for OFDM based Cooperative HF Radio Communication System

2019 ◽  
Vol 8 (2) ◽  
pp. 3138-3142
Keyword(s):  
Communication System ◽  
Channel Coding ◽  
Communication Systems ◽  
Future Generation ◽  
Radio Communication ◽  
Voice Communication ◽  
Radio System ◽  
Distributed Coding ◽  
High Data ◽  
Radio Communication System

High frequency (HF) radio system now-a-days used to establish the communication in an area which is isolated from the outside world due to natural calamities. Conventional HF systems are associated with analog voice communication systems; is now shifted to digital voice communication to meet the demands as expected for high data rates for transmission. Cooperative communication is different from conventional relay-assisted HF systems and aims to support the challenging expectation of future generation HF communication systems. Recent days distributed coding is a variety of channel coding developed in a distributed manner for cooperative wireless networks. In this paper we present an overview of various distributed coding design in OFDM based cooperative HF radio communication system.

scholarly journals Development of the method of structural-parametric synthesis of the subsystem of interference of special purpose radio communication systems

2021 ◽  
Vol 3 (1(59)) ◽  
pp. 40-44
Author(s):  
Andrii Shyshatskyi ◽  
Vitalii Hasan ◽  
Anatolii Hasan ◽  
Serhii Kravchuk ◽  
Yuriy Shidlovsky ◽  
...  
Keyword(s):  
Communication System ◽  
Communication Systems ◽  
Queuing Theory ◽  
Noise Immunity ◽  
Radio Communication ◽  
Parametric Synthesis ◽  
Radio System ◽  
Radio Systems ◽  
Radio Communication System ◽  
The Military

The object of research is the military radio communication system. One of the most problematic areas in the management of military radio resources is the interference of military radio systems and facilities. A number of works have been devoted to the research of ways to increase the noise immunity of military radio communication systems and facilities. However, the known works contain some results of research by scientists aimed at increasing the noise immunity of military radio systems and facilities and do not have a comprehensive approach. In this article, the problem of developing a method of structural-parametric synthesis of the noise protection subsystem of special purpose radio communication systems is solved. The scientific problem is solved by formalizing the problem of structural-parametric synthesis of the noise protection subsystem of military radio communication systems, starting with its mathematical description and synthesis of the quantitative and qualitative structure of the noise protection subsystem. In the course of the research, the authors used the main provisions of the queuing theory, the theory of automation, the theory of complex technical systems and general scientific methods of cognition, namely analysis and synthesis. The novelty of this technique is the synthesis of the structure of the military radio system and the parameters of the radio system in the context of electronic conflict. This technique is multi-criteria, in which the parameters are different in importance. The basis of this technique is the principle of nonlinear scheme of A. Voronin compromises. This technique allows to: – to synthesize the structure of the radio communication system in the conditions of electronic conflict; – to determine the optimal number of radio communication devices to ensure management tasks in the conditions of electronic conflict; – to substantiate a set of mechanisms to increase the noise immunity of the noise protection subsystem in the conditions of electronic conflict. The results of the research should be used at the stage of planning and operational management of the structure and parameters of military radio communication systems.

Ground Attenuation Factor Based on Measurements

2021 ◽  
Vol 263 (3) ◽  
pp. 3436-3447
Author(s):  
Dan Lin ◽  
Andrew Eng
Keyword(s):  
Near Field ◽  
Attenuation Factor ◽  
Measurement Data ◽  
Low Frequency ◽  
Sound Sources ◽  
Frequency Sound ◽  
Sound Levels ◽  
Different Types ◽  
Noise Measurements ◽  
Field Sound

Assumptions made on the ground types between sound sources and receivers can significantly impact the accuracy of environmental outdoor noise prediction. A guideline is provided in ISO 9613-2 and the value of ground factor ranges from 0 to 1, depending on the coverage of porous ground. For example, a ground absorption factor of 1 is suggested for grass ground covers. However, it is unclear if the suggested values are validated. The purpose of this study is to determine the sound absorption of different types of ground by measurements. Field noise measurements were made using an omnidirectional loudspeaker and two microphones on three different types of ground in a quiet neighborhood. One microphone was located 3ft from the loudspeaker to record near field sound levels in 1/3 and 1 octave bands every second. The other microphone was located a few hundred feet away to record far field sound in the same fashion as the near field microphone. The types of ground tested were concrete, grass, and grass with trees. Based on the measurement data, it was found that grass and trees absorb high frequency sound well and a ground factor of 1 may be used for 500Hz and up when using ISO 9613-2 methodology. However, at lower frequencies (125 Hz octave band and below), grassy ground reflects sound the same as concrete surfaces. Trees absorb more low frequency sound than grass, but less than ISO 9613-2 suggested.

Secure Intelligent Radio for Trains (SIRT)

2017 ◽  
Author(s):  
K. R. Damindra S. Bandara ◽  
Satish Kolli ◽  
Duminda Wijesekara
Keyword(s):  
Critical Infrastructure ◽  
Adaptive Modulation ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Worker Safety ◽  
Radio Noise ◽  
Radio Communication ◽  
Radio System ◽  
Cognitive Engine ◽  
Prototype Development

American Railroads are planning to complete implementing their Positive Train Control (PTC) systems by 2020. Safety objectives of PTC are to avoid inter-train collisions, train derailments and ensuring railroad worker safety. Under published specifications of I-ETMS (the PTC system developed by Class I freight railroads), the on-board PTC controller communicates with two networks; namely, the Signaling network and the Wayside Interface Unit network to gather navigational information such as the positions of other trains, the status of critical infrastructure (such as switches) and any hazardous conditions that may affect the train path. By design, PTC systems are predicated on having a reliable radio network operating in reserved radio spectrum, although the PTC system itself is designed to be a real-time fail safe distributed control systems. Secure Intelligent Radio for Trains (SIRT) is an intelligent radio that is customized to train operations with the aim of improving the reliability and security of the radio communication network. SIRT has two tiers. The upper tier has the Master Cognitive Engine (MCE) which communicates with other SIRT nodes to obtain signaling and wayside device information. To do so, the MCE communicates with cognitive engines at the lower tier of SIRT; namely the Cryptographic Cognitive Engine (CCE) (that provide cryptographic security and threat detection) and the Spectrum Management Cognitive Engine (SCE) (that uses spectrum monitoring, frequency hopping and adaptive modulation to ensure the reliability of the radio communication medium). We presented the architecture and the prototype development of the CCE in [1]. This paper presents the design of the MCE and the SCE. We are currently developing a prototype of the SCE and the MCE and testing the performance of our cognitive radio system under varying radio noise conditions. Our experiments show that SIRT dynamically switches modulation schemes in response to radio noise and switches channels in response to channel jamming.

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