A Spectrum Analyzer Based on a Low-Cost Hardware-Software Integration

Santos-Luna, Efrain; Prieto‐Guerrero, Alfonso; Aguilar-Gonzalez, Rafael; Ramos, Victor; López-Benítez, Miguel; Cardenas-Juarez, Marco

doi:10.1109/iemcon.2019.8936239

Cited by 8 publications

(7 citation statements)

References 12 publications

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“…Furthermore, it is an open-source application; it also allows knowing precisely what each module does, and whether it is possible to improve it. The SDR–UAMI–MBSS interface is a branch of the SDR–UAMI application [ 29 ].…”

Section: Real-time Experiments and Resultsmentioning

confidence: 99%

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Real-Time Implementation of Multiband Spectrum Sensing Using SDR Technology

Molina-Tenorio

Prieto‐Guerrero

Aguilar-Gonzalez

2021

Sensors

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In this work, a novel multiband spectrum sensing technique is implemented in the context of cognitive radios. This technique is based on multiresolution analysis (wavelets), machine learning, and the Higuchi fractal dimension. The theoretical contribution was developed before by the authors; however, it has never been tested in a real-time scenario. Hence, in this work, it is proposed to link several affordable software-defined radios to sense a wide band of the radioelectric spectrum using this technique. Furthermore, in this real-time implementation, the following are proposed: (i) a module for the elimination of impulsive noise, with which the appearance of sudden changes in the signal is reduced through the detail coefficients of the multiresolution analysis, and (ii) the management of different devices through an application that updates the information of each secondary user every 100 ms. The performance of these linked devices was evaluated with encouraging results: 95% probability of success for signal-to-noise ratio (SNR) values greater than 0 dB and just five samples (mean) in error of the edge detection (start and end) for a primary user transmission.

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Section: Real-time Experiments and Resultsmentioning

confidence: 99%

“…A technique for dynamic spectrum access was also presented. In [ 29 ], a didactic spectrum analyzer application with multiple functions was presented that uses an SDR device at a very low cost.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Implementation of Multiband Spectrum Sensing Using SDR Technology

Molina-Tenorio

Prieto‐Guerrero

Aguilar-Gonzalez

2021

Sensors

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“…Their results show that the RTL-SDR dongles are a promising low-cost candidate for these kinds of applications. A similar study is presented in [24], [25]. A notable case study on the use of these dongles is the Electrosense project [26].…”

Section: Introductionmentioning

confidence: 81%

Electro-Smog Monitoring Using Low-Cost Software-Defined Radio Dongles

et al. 2021

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With the increasing use of wireless communication technologies, it is important to monitor electromagnetic exposure (ideally with high temporal and spatial resolutions). In this paper, we explore the use of low-cost software-defined radio dongle for electro-smog measurements and more specifically for electro-magnetic fields power measurements and the estimation of the incident power density. We describe how the raw data is collected and then compute the average electromagnetic field power. We then compensate for the non-linearity of the amplifier and the antenna gain to get the corrected electromagnetic field power measurements. We use these measurements to estimate the incident power density which is the metric that we use to evaluate the electro-smog. The results show that the considered low-cost SDR dongle is stable and provides good quality power measurements. The estimation of the incident power density is shown to be accurate enough for monitoring the electro-smog.

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“…SDR is defined as a device that implements radio functions such as sending and receiving signals, via software, not hardware. The target of this technology is to reduce physical components and make (Santos-Luna et al, 2019). This makes SDR a very versatile tool for performing analysis on the frequency spectrum and also allows programmers to use software to create cracking tools (Pozniak et al, 2019).…”

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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A Spectrum Analyzer Based on a Low-Cost Hardware-Software Integration

Cited by 8 publications

References 12 publications

Real-Time Implementation of Multiband Spectrum Sensing Using SDR Technology

Real-Time Implementation of Multiband Spectrum Sensing Using SDR Technology

Electro-Smog Monitoring Using Low-Cost Software-Defined Radio Dongles

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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