Journal articles: 'Electronic Spectrum Analyzer'

1

Withers, R. S., and S. A. Reible. "Superconductive chirp-transform spectrum analyzer." IEEE Electron Device Letters 6, no. 6 (1985): 261–63. http://dx.doi.org/10.1109/edl.1985.26119.

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Wan, Yangyang, Xinyu Fan, and Zuyuan He. "Review on Speckle-Based Spectrum Analyzer." Photonic Sensors 11, no. 2 (2021): 187–202. http://dx.doi.org/10.1007/s13320-021-0628-3.

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AbstractAccurate spectral measurement and wavelength determination are fundamental and vital for many fields. A compact spectrum analyzer with high performance is expected to meet the growing requirements, and speckle-based spectrum analyzer is a potential solution. The basic principle is based on using the random medium to establish a speckle-to-wavelength mapping relationship for spectrum reconstruction. This article introduces current speckle-based spectrum analyzers with different schemes and reviews recent advances in this field. Besides, some applications by using speckle-based spectrum analyzers are also introduced. Finally, the existing challenges and the future prospects of using speckle for spectrum recovery are discussed.

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Rocha, L. A., E. Cretu, and R. F. Wolffenbuttel. "MEMS-Based Mechanical Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 54, no. 3 (2005): 1260–65. http://dx.doi.org/10.1109/tim.2005.847168.

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Kong, S. H., and R. F. Wolffenbuttel. "Spectral Performance of a Micromachined Infrared Spectrum Analyzer in Silicon." IEEE Transactions on Instrumentation and Measurement 54, no. 1 (2005): 264–67. http://dx.doi.org/10.1109/tim.2004.834050.

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Herasimov, S., M. Borysenko, E. Roshchupkin, V. I. Hrabchak, and Yu A. Nastishin. "Spectrum Analyzer Based on a Dynamic Filter." Journal of Electronic Testing 37, no. 3 (2021): 357–68. http://dx.doi.org/10.1007/s10836-021-05954-0.

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Saitoh, T., K. Nakamura, Y. Takahashi, and K. Miyagi. "Optical spectrum analyzer utilizing MEMS scanning mirror." IEEE Photonics Technology Letters 18, no. 6 (2006): 767–69. http://dx.doi.org/10.1109/lpt.2006.871677.

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Campos, J. M., A. Destrez, J. Jacquet, and Z. Toffano. "Ultra-Fast Optical Spectrum Analyzer for DWDM Applications." IEEE Transactions on Instrumentation and Measurement 53, no. 1 (2004): 124–29. http://dx.doi.org/10.1109/tim.2003.821507.

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Bilski, Piotr, and Wieslaw Winiecki. "A Low-Cost Real-Time Virtual Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 56, no. 6 (2007): 2169–74. http://dx.doi.org/10.1109/tim.2007.908269.

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Lu, Y. Q., C. Wong, and S. T. Wu. "A Liquid Crystal-Based Fourier Optical Spectrum Analyzer." IEEE Photonics Technology Letters 16, no. 3 (2004): 861–63. http://dx.doi.org/10.1109/lpt.2004.823723.

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10

Kozlov, V. L. "Selection of signal detection threshold in Doppler spectrum analyzer." Radioelectronics and Communications Systems 52, no. 5 (2009): 261–64. http://dx.doi.org/10.3103/s0735272709050069.

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11

Iida, Hitoshi, Moto Kinoshita, and Yuya Tojima. "Terahertz Spectrum Analyzer Based on Fourier Transform Interferometry." Journal of Infrared, Millimeter, and Terahertz Waves 40, no. 9 (2019): 952–61. http://dx.doi.org/10.1007/s10762-019-00620-1.

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12

Perotoni, Marcelo B., and Kenedy M. G. dos Santos. "SDR-Based Spectrum Analyzer Based in Open-Source GNU Radio." Journal of Microwaves, Optoelectronics and Electromagnetic Applications 20, no. 3 (2021): 542–55. http://dx.doi.org/10.1590/2179-10742021v20i31194.

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13

M�ndez-Rivera, Marcia G., Alberto Valdes-Garcia, Jose Silva-Martinez, and Edgar S�nchez-Sinencio. "An On-Chip Spectrum Analyzer for Analog Built-In Testing." Journal of Electronic Testing 21, no. 3 (2005): 205–19. http://dx.doi.org/10.1007/s10836-005-6351-y.

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NAGANO, M., T. ONODERA, and M. SONE. "Experimental Evaluation of the Super Sweep Spectrum Analyzer." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E91-A, no. 3 (2008): 782–90. http://dx.doi.org/10.1093/ietfec/e91-a.3.782.

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15

Bertocco, M., and A. Sona. "On the Measurement of Power via a Superheterodyne Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 55, no. 5 (2006): 1494–501. http://dx.doi.org/10.1109/tim.2006.880322.

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Rehorn, Christopher E., and N. Scott Barker. "A Miniaturized Low-Cost 60–1000-MHz PCB Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 57, no. 1 (2008): 205–12. http://dx.doi.org/10.1109/tim.2007.908605.

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17

SVILAINIS, LINAS, VYTAUTAS DUMBRAVA, and DARIUS KYBARTAS. "EVALUATION OF THE ULTRASONIC PREAMPLIFIER NOISE VOLTAGE DENSITY." Journal of Circuits, Systems and Computers 23, no. 01 (2014): 1450007. http://dx.doi.org/10.1142/s0218126614500078.

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Analysis of the noise voltage density evaluation procedures of the ultrasonic preamplifier is presented. Ultrasonic testing is demanding low noise reception channel. Techniques and equipment for ultrasonic preamplifier's noise performance evaluation are suggested. Equipment used and measurement technologies applied are described. One of the techniques suggested allows estimating the preamplifier noise with only impedance measurement results available. Sine wave correlation technique was used in the impedance measurement procedure. Another technique, not demanding the spectrum analyzer, was suggested, which uses the analog-to-digital converter (ADC) sampling and the Fourier transform to obtain the noise spectral density. Experimental results for the measured complex gain and the equivalent input noise of the preamplifier are presented. Comparison with traditional noise estimation procedure, using the spectrum analyzer is given. Both direct measurement techniques (ADC record Fourier analysis based and spectrum analyzer) indicated good match. Noise whiteness was estimated: in a region of operation frequencies, 5–7 MHz, noise can be considered as white.

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18

Misra, Arijit, Stefan Preussler, Dvir Munk, et al. "Integrated High-Resolution Optical Spectrum Analyzer With Broad Operational Bandwidth." IEEE Photonics Technology Letters 32, no. 17 (2020): 1061–64. http://dx.doi.org/10.1109/lpt.2020.3011609.

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19

Freitas, Paulo V. A., Ruan F. Hanthequeste, Gabriel B. A. Orofino, Pedro V. G. Castellanos, Ângelo A. C. Canavitsas, and Robson C. Bentes. "Implementation of a Spectrum Analyzer Using the Software-Defined Radio Concept." Journal of Microwaves, Optoelectronics and Electromagnetic Applications 20, no. 4 (2021): 801–11. http://dx.doi.org/10.1590/2179-10742021v20i4254767.

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20

Sato, Kiminori, Yoji Nagasawa, Hideaki Sone, and Tasuku Takagi. "Optical transient spectrum analyzer (OTSA) with high time-resolution." Electronics and Communications in Japan (Part II: Electronics) 73, no. 10 (1990): 42–50. http://dx.doi.org/10.1002/ecjb.4420731005.

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21

Lewandowski, Arkadiusz, Agnieszka Szyplowska, Andrzej Wilczek, Marcin Kafarski, Justyna Szerement, and Wojciech Skierucha. "One-Port Vector Network Analyzer Characterization of Soil Dielectric Spectrum." IEEE Transactions on Geoscience and Remote Sensing 57, no. 6 (2019): 3661–76. http://dx.doi.org/10.1109/tgrs.2018.2886474.

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22

Divin, Yu Ya, S. Y. Larkin, S. E. Anischenko, P. V. Khabayev, and S. V. Korsunsky. "Millimeter-wave Hilbert-transform spectrum analyzer based on Josephson junction." International Journal of Infrared and Millimeter Waves 14, no. 6 (1993): 1367–73. http://dx.doi.org/10.1007/bf02146263.

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23

Fleischmann, Patrick, Heinz Mathis, Jakub Kucera, and Stefan Dahinden. "Implementation of a Cross-Spectrum FFT Analyzer for a Phase-Noise Test System in a Low-Cost FPGA." International Journal of Microwave Science and Technology 2015 (September 17, 2015): 1–7. http://dx.doi.org/10.1155/2015/757591.

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The cross-correlation method allows phase-noise measurements of high-quality devices with very low noise levels, using reference sources with higher noise levels than the device under test. To implement this method, a phase-noise analyzer needs to compute the cross-spectral density, that is, the Fourier transform of the cross-correlation, of two time series over a wide frequency range, from fractions of Hz to tens of MHz. Furthermore, the analyzer requires a high dynamic range to accommodate the phase noise of high-quality oscillators that may fall off by more than 100 dB from close-in noise to the noise floor at large frequency offsets. This paper describes the efficient implementation of a cross-spectrum analyzer in a low-cost FPGA, as part of a modern phase-noise analyzer with very fast measurement time.

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24

ElAnsary, Maged, Nima Soltani, Hossein Kassiri та ін. "50nW Opamp-Less ΔΣ-Modulated Bioimpedance Spectrum Analyzer for Electrochemical Brain Interfacing". IEEE Journal of Solid-State Circuits 55, № 7 (2020): 1971–83. http://dx.doi.org/10.1109/jssc.2020.2981033.

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25

Domínguez, M. A., J. L. Ausín, J. F. Duque-Carrillo, and G. Torelli. "A 1-MHz Area-Efficient On-Chip Spectrum Analyzer for Analog Testing." Journal of Electronic Testing 22, no. 4-6 (2006): 437–48. http://dx.doi.org/10.1007/s10836-006-9503-9.

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26

Shengjing, Jin, Piao Yan, and Wang Ruiguang. "The data processing technique for integrated-optics acousto-optic RF spectrum analyzer." Journal of Electronics (China) 10, no. 3 (1993): 267–72. http://dx.doi.org/10.1007/bf02684557.

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27

Motuz, Rastislav, Petr Munster, and Miloslav Filka. "PMD Study & Measurement – Fixed Analyzer Method." Journal of Communications Software and Systems 11, no. 4 (2015): 199. http://dx.doi.org/10.24138/jcomss.v11i4.98.

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The paper theoretically describes Polarization Mode Dispersion (PMD) which is important parameter in high-speed optical networks. Furthermore, compensation methods and measurement principles are presented. Main attention is given to Fixed Analyzer (FA) method that uses common research laboratory equipment in setup. We performed practical measurement of the PMD by using Optical Spectrum Analyzer (OSA) Anritsu MS9740A, in-line polarizers and a polarization controller. To verify the accuracy of measurements Reference Measurement (RM) using a modular platform EXFO FTB-200 in combination with CD/PMD module EXFO FTB-5700 was performed. Moreover, PMD etalons with defined values of delay was used for measurement. All results were evaluated in comparison with defined limit values.

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28

Marathe, Shubhankar, Zongyi Chen, Kaustav Ghosh, et al. "Spectrum Analyzer-Based Phase Measurement for Near-Field EMI Scanning." IEEE Transactions on Electromagnetic Compatibility 62, no. 3 (2020): 848–58. http://dx.doi.org/10.1109/temc.2019.2920344.

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29

Sansaloni, Trini, Asun Perez-Pascual, Vicente Torres, VicenÇ Almenar, JosÉ F. Toledo, and Javier Valls. "FFT Spectrum Analyzer Project for Teaching Digital Signal Processing With FPGA Devices." IEEE Transactions on Education 50, no. 3 (2007): 229–35. http://dx.doi.org/10.1109/te.2007.900025.

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30

Aijanen, Tapani. "A CCD-Based Real-Time Spectrum Analyzer for Incoherent Scatter Radar Systems." IEEE Transactions on Instrumentation and Measurement IM-34, no. 1 (1985): 75–78. http://dx.doi.org/10.1109/tim.1985.4315260.

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31

Rabijns, D., G. Vandersteen, and W. Van Moer. "An Automatic Detection Scheme for Periodic Signals Based on Spectrum Analyzer Measurements." IEEE Transactions on Instrumentation and Measurement 53, no. 3 (2004): 847–53. http://dx.doi.org/10.1109/tim.2004.827091.

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32

Joseph, W., C. Olivier, and L. Martens. "Accurate Assessment of Electromagnetic Exposure From WiMAX Signals Using a Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 57, no. 3 (2008): 518–21. http://dx.doi.org/10.1109/tim.2007.913812.

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33

Nakano, Hirotami, Yoshinori Aono, Masanobu Naitoh, et al. "Proposal of 3-Phase Spectrum Analyzer based on Rotating Coordinate Transformations." IEEJ Transactions on Industry Applications 120, no. 11 (2000): 1277–82. http://dx.doi.org/10.1541/ieejias.120.1277.

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34

Proklov, V. V., and Y. B. Sindler. "AO-spectrum analyzer implementation into CDMA- telecommunications with enhanced SIR-factors." IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control 50, no. 7 (2003): 787–94. http://dx.doi.org/10.1109/tuffc.2003.1214499.

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35

Anfinogentov, Vladimir, Kamil Karimov, Artem Kuznetsov, et al. "Algorithm of FBG Spectrum Distortion Correction for Optical Spectra Analyzers with CCD Elements." Sensors 21, no. 8 (2021): 2817. http://dx.doi.org/10.3390/s21082817.

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Nonlinear spectrum distortions are caused by the peculiarities of the operation of charge-coupled device elements (CCD), in which the signal exposition time (Time of INTegration–TINT) is one of the significant parameters. A change of TINT on a CCD leads to a nonlinear distortion of the resulting spectrum. A nonlinear distortion of the spectrum, in turn, leads to errors in determining the central wavelength of fiber Bragg gratings (FBGs) and spectrally sensitive sensors, which, in general, negatively affects the accuracy of the measuring systems. This paper proposes an algorithm for correcting the nonlinear distortions of the spectrum obtained on a spectrum analyzer using CCD as a receiver. It is shown that preliminary calibration of the optical spectrum analyzer with subsequent mathematical processing of the signal makes it possible to make corrections in the resulting spectrum, thereby leveling the errors caused by measurements at different TINT.

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36

Hemour, Simon, Florence Podevin, and Pascal Xavier. "An RF spectrometer for fast wide band measurement." International Journal of Microwave and Wireless Technologies 1, no. 6 (2009): 537–42. http://dx.doi.org/10.1017/s1759078709990821.

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A new type of spectrum analyzer using RF interferometry is presented. The stationary wave integrated Fourier transform spectrometer is dedicated to the measurement of transient wideband signals. The spectrometer is mobile and cheap. It consists of spatial samplers placed along a waveguide ended by a short circuit. The standing wave caused by the short circuit is sampled and the spectrum is obtained by an FFT computation. A 0.3–5 GHz analyzer was built as a proof-of-principle demonstration and an application to RF dosimetry is shown.

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37

Chikada, Y., M. Ishiguro, H. Hirabayashi, et al. "A 6 × 320-MHz 1024-channel FFT cross-spectrum analyzer for radio astronomy." Proceedings of the IEEE 75, no. 9 (1987): 1203–10. http://dx.doi.org/10.1109/proc.1987.13873.

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38

Liu, Zushen. "Research and realization on design of All-Digital IF used in spectrum analyzer." JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT 2009, no. 2 (2010): 39–45. http://dx.doi.org/10.3724/sp.j.1187.2009.02039.

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39

Fayos-Fernandez, J., F. Victoria-Gonzalez, A. M. Martinez-Gonzalez, A. Morote-Marco, and D. Sanchez-Hernandez. "Effect of Spectrum Analyzer Filtering on Electromagnetic Dosimetry Assessment for UMTS Base Stations." IEEE Transactions on Instrumentation and Measurement 57, no. 6 (2008): 1154–65. http://dx.doi.org/10.1109/tim.2008.919025.

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40

Pasini, G., P. A. Traverso, D. Mirri, G. Iuculano, and F. Filicori. "Hardware Implementation of a Broad-Band Vector Spectrum Analyzer Based on Randomized Sampling." IEEE Transactions on Instrumentation and Measurement 54, no. 4 (2005): 1575–82. http://dx.doi.org/10.1109/tim.2005.851480.

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41

Ward, Harold R. "A Method for Measuring Pulsed Amplifier Noise Using a Spectrum Analyzer." IEEE Transactions on Electromagnetic Compatibility EMC-27, no. 2 (1985): 99–100. http://dx.doi.org/10.1109/temc.1985.304262.

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42

Kravtsov, Vladimir, Aron Agizim, Helene Goryacheva, and Igor Karplyuk. "Spectrum analyzer for the investigation of non-linear phenomena — Structure and applications." Measurement 12, no. 3 (1994): 217–26. http://dx.doi.org/10.1016/0263-2241(94)90028-0.

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43

Zhu, Guangtao, Tomoya Miyamae, Kohei Noda, Heeyoung Lee, Kentaro Nakamura, and Yosuke Mizuno. "High-speed high-resolution optical correlation-domain reflectometry without using electrical spectrum analyzer." Optics & Laser Technology 161 (June 2023): 109120. http://dx.doi.org/10.1016/j.optlastec.2023.109120.

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44

Farzaneh, S., A. K. Ozturk, A. R. Sebak, and R. Paknys. "Antenna-Pattern Measurement Using Spectrum Analyzer for Systems with Frequency Translation [Measurements Corner." IEEE Antennas and Propagation Magazine 51, no. 3 (2009): 126–31. http://dx.doi.org/10.1109/map.2009.5251209.

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45

De Vito, Luca, Sergio Rapuano, and Maurizio Villanacci. "Prototype of an Automatic Digital Modulation Classifier Embedded in a Real-Time Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 59, no. 10 (2010): 2639–51. http://dx.doi.org/10.1109/tim.2010.2045447.

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46

Gubsky, Dmitry, Yevgeniya Daineko, Madina Ipalakova, Anatoly Kleschenkov, and Dana Tsoy. "Computer model of a spectrum analyzer for a virtual laboratory: development and introduction to the educational process." PeerJ Computer Science 8 (November 3, 2022): e1130. http://dx.doi.org/10.7717/peerj-cs.1130.

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The worldwide COVID-19 pandemic has changed the development plans of every country. Instead, governments had to constantly deal with ever-emerging issues in healthcare, education, economics and industry. As a result, there has been an accelerated introduction of digitalization in these spheres. Thus, an increasing number of people have started using electronic services that have improved their digital literacy. This feature has had a positive impact on society and helped to create new interaction tools between populations and governments, students and institutions, customers and companies. The article aims to analyze how studying radio electronics can be improved by involving new tools and how they can be applied in distance learning. This work presents the results of the development and application of a virtual radio signal simulation in the educational process in the form of a laboratory practicum. Working on this approach required specific research in the field; the foreign experience was observed and studied. The review allowed us to find out how digitalization and the application of digital tools affect the behaviour, cognition, and overall performance of students during the pandemic. The authors conducted a questionnaire among students to evaluate the features of the virtual laboratory work and their effect on the educational process. The results analyzed are given in the article. They showed that students highly appreciate the introduction of such tools in learning. Moreover, like the entire laboratory, the proposed model can be used in the educational process offline and with distance learning. Finally, the article describes the experience and results of the software package’s development and integration for the spectrum analyzer’s computer model and virtual laboratory work using the MS VS environment in C ++. The results of the conducted work demonstrate the versatility of the proposed approach, its positive impact on the educational process, high potential in the other spheres.

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47

King, Daniel J., Mohamed K. Emara, and Shulabh Gupta. "Millimeter-Wave Integrated Side-Fire Leaky-Wave Antenna and Its Application as a Spectrum Analyzer." IEEE Transactions on Antennas and Propagation 69, no. 9 (2021): 5401–12. http://dx.doi.org/10.1109/tap.2021.3060893.

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48

Gorbunov, A. S., D. M. Zinovyev, N. G. Vostokov, and Al S. Gorbunov. "USE OF COMPLEX OF ELECTROMAGNETIC ANALYSIS OF PACKAGED PRODUCTS FOR ASSESSING ELECTROMAGNETIC COMPATIBILITY OF ELECTRONIC DEVICES." Issues of radio electronics, no. 12 (December 20, 2018): 29–35. http://dx.doi.org/10.21778/2218-5453-2018-12-29-35.

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The article describes the experience of using a complex electromagnetic analysis of cased products based on the near-field electromagnetic radiation scanner to assess the electromagnetic compatibility of electronic devices. The structural scheme of the complex and its main characteristics are presented, which consist of the characteristics of the scanner itself and the characteristics of the connected spectrum analyzer. Descriptions of preparations for the re-installation and configuration of application software for managing the scanner. The above formula for calculating the time to scan, the algorithm for the operation of the device, the characteristics of the measuring sensors included in the delivery package and the features of working with the complex. The results of spectral and spatial analysis of electronic devices are shown with a 3D pattern of electromagnetic field intensity distribution. Conclusions are drawn based on the analysis of construction of operational experience.

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49

Tanaka, Y., Y. Itoh, K. Aizawa, T. Kurokawa, and H. Tsuda. "Optical spectrum analyzer based on arrayed waveguide grating for high-speed optical communication systems." IEEE Photonics Technology Letters 17, no. 2 (2005): 432–34. http://dx.doi.org/10.1109/lpt.2004.840273.

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50

Olivier, C., and L. Martens. "Theoretical Derivation of the Stochastic Behavior of a WCDMA Signal Measured With a Spectrum Analyzer." IEEE Transactions on Instrumentation and Measurement 55, no. 2 (2006): 603–14. http://dx.doi.org/10.1109/tim.2006.870330.

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Journal articles on the topic 'Electronic Spectrum Analyzer'

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