SDR-Based Spectrum Analyzer Based in Open-Source GNU Radio

Perotoni, Marcelo B.; Santos, Kenedy Marconi Geraldo dos

doi:10.1590/2179-10742021v20i31194

Cited by 12 publications

(4 citation statements)

References 13 publications

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“…Another pure software solution based on USRP and open-source GNU Radio is found in [25]. The problem with dynamic tuning of a centre frequency during wideband sweep is observed by the authors and adjusted by using a custom Python code block.…”

Section: B Sdr-based Solutionsmentioning

confidence: 99%

Hardware-Accelerated Real-Time Spectrum Analyzer With a Broadband Fast Sweep Feature Based on the Cost-Effective SDR Platform

Flak

2022

IEEE Access

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Radio Frequency (RF) spectrum monitoring and broadband signal analysis have multiple application areas, especially in the era of a constantly growing number of wireless devices. One of the essential challenges for a spectrum sensor is to achieve an adequate measurement rate over a wide bandwidth to detect signals of short duration so that a low latency response can be provided. In procedures that require field measurements, and some compromise in accuracy is acceptable, low-cost Software Defined Radio (SDR) devices can be used instead of expensive and bulky professional spectrum analyzers. This paper introduces a real-time swept spectrum sensor based on LimeSDR-USB with custom embedded Field Programmable Gate Array (FPGA) firmware, designed to outperform similar software implementations. The Welch's spectral density estimation is implemented in hardware to minimise the USB transfer rate and offload the host PC signal processing. Furthermore, the frequency tuning state machine and cache calibration memory are also managed by the FPGA to reduce the blind time during broadband sweep. The performance of the proposed solution indicates up to 96 MHz of real-time bandwidth along with a capability of less than millisecond cumulative sweep time per gigahertz. The characteristics of various design elements are investigated and refined during simulation and laboratory measurements, whereas the final prototype implementation is verified in real-world scenarios. The results demonstrate the effectiveness of the proposed device as a sensor for propagation studies, multiband spectrum utilisation monitoring, and spectral white spaces detection.INDEX TERMS Electromagnetic analysis, field programmable gate array, radio frequency, software defined radio, surveillance.

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Section: B Sdr-based Solutionsmentioning

confidence: 99%

Hardware-Accelerated Real-Time Spectrum Analyzer With a Broadband Fast Sweep Feature Based on the Cost-Effective SDR Platform

Flak

2022

IEEE Access

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“…By measuring these factors, it is possible to determine whether a signal is working properly or whether there are interferences that needs to be addressed, for example. For this reason, several kinds of monitoring stations have been proposed, and one of the main threats addressed is indeed the presence of intentional or unintentional interference over the frequency bandwidths of interest such as communication systems [1], Global Navigation Satellite System (GNSS) [2], [3], or others wireless transmission devoted to different aims [4], [5]. These stations can implement advanced equipment and techniques to continuously monitor RF signals and identify any anomalies that affect their performance.…”

Section: Introductionmentioning

confidence: 99%

An Open Architecture for Signal Monitoring and Recording Based on SDR and Docker Containers: A GNSS Use Case

Mehr¹,

Minetto²,

Dovis³

et al. 2023

Preprint

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<p>Signal monitoring and recording station architectures based on software-defined radio (SDR) have been proposed and implemented since several years. However, the large amount of data to be transferred, stored, and managed when high sampling frequency and high quantization depth are required, poses a limit to the performance, mostly because of the data losses during the data transfer between the front-end and the storage unit. To overcome these limitations, thus allowing a reliable, high-fidelity recording of the signals as required by some applications, a novel architecture named SMART (Signal Monitoring, Analysis and Recording Tool) based on the implementation of Docker containers directly on a Network Attached Storage (NAS) unit is presented. Such paradigms allow for a fully open-source system being more affordable and flexible than previous prototypes. The proposed architecture reduces computational complexity, increases efficiency, and provides a compact, cost-effective system that is easy to move and deploy. As a case study, this architecture is implemented to monitor RFIs on Global Navigation Satellite System (GNSS) L1/E1 and L5/E5 bands. The sample results show the benefits of a stable, long-term capture at a high sampling frequency to characterize the RFIs spectral signature effectively. </p>

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“…The Software Defined Radio (SDR) concept was first proposed in 1991 (Perotoni & dos Santos, 2021). SDR is defined as a device that implements radio functions such as sending and receiving signals, via software, not hardware.…”

Section: Introductionmentioning

confidence: 99%

Feasibility Test of Raspberry Pi Based Spectrum Analyzer and Transfer Level Register-Software Defined Radio as Learning Media for Frequency Measurement

Sabur

Nur

2022

AIJP

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The purpose of the study was to test the feasibility of a raspberry python-based prototype spectrum analyzer and a software-defined radio-level transfer register designed to meet the practical needs of the Telecommunications Engineering laboratory. For the initial stage, the feasibility test was carried out at SMK Negeri 1 Pangkep, South Sulawesi. The method of data collection was carried out using a test and questionnaire method to determine the effectiveness and feasibility of the developed teaching aids. The subjects for assessing the wireless turn signal system teaching aid were media experts and material experts as many as 2 teaching staff from SMK Negeri 1 Pangkep, Department of Communication and Networking Engineering in the field of wireless Engineering. The results showed that the feasibility of the spectrum analyzer trainer as a learning medium for wireless technology practice based on the results of expert and user tests, it was found that the percentage level of feasibility of wireless learning media as a learning medium was 80.19% which could be categorized as very feasible.

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SDR-Based Spectrum Analyzer Based in Open-Source GNU Radio

Cited by 12 publications

References 13 publications

Hardware-Accelerated Real-Time Spectrum Analyzer With a Broadband Fast Sweep Feature Based on the Cost-Effective SDR Platform

Hardware-Accelerated Real-Time Spectrum Analyzer With a Broadband Fast Sweep Feature Based on the Cost-Effective SDR Platform

An Open Architecture for Signal Monitoring and Recording Based on SDR and Docker Containers: A GNSS Use Case

Feasibility Test of Raspberry Pi Based Spectrum Analyzer and Transfer Level Register-Software Defined Radio as Learning Media for Frequency Measurement

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