scholarly journals Modernized Solar Radio Spectrograph in the L Band Based on Software Defined Radio

Electronics ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 861
Author(s):  
Puricer ◽  
Kovar ◽  
Barta
Keyword(s):  
Software Defined Radio ◽  
Solar Radio ◽  
Direct Conversion ◽  
Frequency Resolution ◽  
Navigation Systems ◽  
Spectrum Estimation ◽  
Radio Communication ◽  
Diagnostic Significance ◽  
Analog Device ◽  
Test Operation

The paper presents the concept, implementation, and test operation of a modernized solar radio spectrograph for an investigation of the solar emission and solar bursts in radio frequency bands. Besides having a strong diagnostic significance for studying the flare energy release, the solar radio bursts can also cause strong interference for radio communication and navigation systems. The current spectrograph for the Ondrejov observatory (Astronomical Institute of Czech Academy of Sciences) was modernized by using a direct-conversion receiver connected to a field-programmable gate array (FPGA) for the fast Fourier transform (FFT) spectrum estimation and put into the test operation. The higher time and frequency resolution and lower noise in comparison with the existing analog instrument were reached by the implementation of the latest optimal signal processing methods. To reduce the costs for such modernization, the operating frequency range was divided into four sub-bands of bandwidth 250 MHz, which brings another benefit of greater scalability. The first observations obtained by the new spectrograph and their comparison with the analog device are presented in the paper with future steps to put the spectrograph into the regular operation.

scholarly journals Dual-Band Six-Port Direct Conversion Receiver with I/Q Mismatch Calibration Scheme for Software Defined Radio

2010 ◽  
Vol 21 (6) ◽  
pp. 651-659
Author(s):  
Seong-Mo Moon ◽  
Dong-Hoon Park ◽  
Jong-Won Yu ◽  
Moon-Que Lee
Keyword(s):  
Software Defined Radio ◽  
Direct Conversion ◽  
Dual Band ◽  
Calibration Scheme

Terrestrial Integrated Radio Communication–Navigation Systems

2007 ◽  
pp. 283-312 ◽  
Author(s):  
Walter R. Fried ◽  
James A. Kivett ◽  
Edgar Westbrook
Keyword(s):  
Navigation Systems ◽  
Radio Communication

Universal Software Radio Peripheral/GNU Radio-Based Implementation of a Software-Defined Radio Communication System

2019 ◽  
pp. 227-240
Author(s):  
Ehsan Sheybani
Keyword(s):  
Communication System ◽  
Software Defined Radio ◽  
Software Radio ◽  
Block Code ◽  
Radio Station ◽  
Frequency Change ◽  
Gnu Radio ◽  
Radio Communication ◽  
Space Communications ◽  
Radio Communication System

Challenges involved in space communications across wireless channels call for new approaches to radio systems. Due to the growing need for frequency change in modern wireless systems, an adaptive radio system has the highest demand. Software-defined radios (SDR) offer this type of adaptivity as well as compatibility with other standard platforms such as USRP/GNU radio. Despite limitations of this approach due to hardware components, viable modeling and simulation as well as deployable systems are possible using this platform. This chapter presents a detailed implementation procedure for a USRP/GNU radio-based SDR communication system that can be used for practical experiments as well as an academic lab in this field. In this experiment the USRP has been configured to receive signal from a local radio station using the BasicRX model daughterboard. The programmable USRP executes Python block code implemented in the GNU Radio Companion (GRC) on Ubuntu OS.

scholarly journals Implementation of Transceiver module for SDR system using ADALM PLUTO platform

2018 ◽  
Vol 7 (4.6) ◽  
pp. 279
Author(s):  
Sowjanya. P. ◽  
Satyanarayana P.
Keyword(s):  
Software Defined Radio ◽  
Large Scale ◽  
Technology Development ◽  
New Technology ◽  
Software Radio ◽  
Radio Station ◽  
Radio Communication ◽  
Radio Stations ◽  
Open Standard ◽  
Software Modules

Software Defined Radio (SDR) provides a comprehensive radio communication platform, based on which new technology can be used through software update. This leads to a large-scale reduction in expansion costs and enables the product to maintain technology development. The SDR platform can be set up with an open, standard, and programmable hardware platform, based on which the functions of the radio can be perceived by adding appropriate software modules. In this platform, the transformation and expansion of the radio functions are done in a software version without the need for a modification of the equipment. Such software radio station can easily communicate with the current or upcoming radio stations. In this article, we analyze SDR evolution and various platforms and implement various modulation techniques with the aim of successfully transferring a message wirelessly over-the-air using ADALM-PLUTO SDR platform by Analog Devices. 

scholarly journals Damped CAPES 2D Spectral Estimation for Real-Valued Vibration Signals

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Danhui Dan ◽  
Jiongxin Gong ◽  
Yiming Zhao
Keyword(s):  
Spectral Estimation ◽  
Amplitude Spectrum ◽  
Vibration Signal ◽  
Angular Frequency ◽  
Frequency Resolution ◽  
Spectrum Estimation ◽  
Vibration Signals ◽  
Vibration Data ◽  
Decay Factor ◽  
Sine Term

We propose a 2D representation in the frequency-decay factor plane of an arbitrary real-world vibration signal. The signal is expressed as the sum of a decayed-attenuation sine term modulated by an amplitude function and a noise residue. We extend the combined approach of Capon estimation and amplitude and phase estimation (CAPES) to damped real vibration signals (DR-CAPES). In the proposed DR-CAPES method, the high-resolution amplitude and phase are estimated simultaneously for both angular frequency and decay factor grids. The performance of the proposed approach is tested numerically with noisy vibration data. Results show that the DR-CAPES method has an excellent frequency resolution, which helps to overcome difficulties in spectrum estimation when vibration modes are very close, and a small bias, which makes it suitable for obtaining accurate amplitude spectrums. The results also indicate that the proposed method can accurately estimate the amplitude spectrum with the use of averaging and denoising processes.

UM2000 Spectrum Estimation Using Multiple Signal Classification Method

2013 ◽  
Vol 734-737 ◽  
pp. 2622-2629
Author(s):  
Shen Liu ◽  
Fu Ping Wang ◽  
Xiu Cheng Liu
Keyword(s):  
Minimum Description Length ◽  
Spectral Estimation ◽  
Frequency Discrimination ◽  
Frequency Resolution ◽  
Estimation Methods ◽  
Signal Spectrum ◽  
Spectrum Estimation ◽  
Music Algorithm ◽  
Multiple Signal Classification ◽  
Signal Simulation

This paper focused on UM2000 signal spectrum estimation using MUSIC algorithm. Because of the limitation of data window length, traditional frequency discrimination methods fail to meet the requirement of high frequency resolution. In this paper, the influence of SNR on MUSIC spectrum estimation is analyzed and MDL (minimum description length) principle is used to determine the dimension of the signal. Simulation results based on several other modern spectral estimation methods are also presented and compared with that of MUSIC method, from which the superiority of MUSIC method is verified.

scholarly journals Comparative analysis of power spectrum estimation methods

2010 ◽  
Vol 51 ◽  
Author(s):  
Gintarė Petreikytė ◽  
Kazys Kazlauskas
Keyword(s):  
Comparative Analysis ◽  
Power Spectrum ◽  
Signal To Noise Ratio ◽  
Frequency Resolution ◽  
Estimation Methods ◽  
Spectrum Estimation ◽  
Parametric Methods ◽  
Signal To Noise ◽  
Power Spectrum Estimation ◽  
The Subject

The subject of this paper is the comparative analysis of the eleven most important nonparametric, parametric and subspace power spectrum estimation methods. Theoretically and experimentally we analyse how the frequency resolution of the spectrum estimation methods depends on the signal length, signal-to-noise ratio (SNR) and the order parametric methods.

scholarly journals A new approach to nonparametric spectral density estimation

2021 ◽  
Author(s):  
Sudeshna Pal
Keyword(s):  
Spectral Density ◽  
Density Estimation ◽  
Frequency Resolution ◽  
Spectrum Estimation ◽  
New Approach ◽  
Spectral Density Estimation ◽  
Noise Interference ◽  
Novel Approach ◽  
Power Spectral ◽  
Noisy Signals

A novel approach to nonparametric spectral density estimation has been proposed. The approach is based on a new evaluation criterion called autocorrelation mean square error (AMSE) for power spectral density (PSD) estimates of available finite length data. Minimization of this criterion not only provides the optimum segmentation for existing PSDE approaches , but also provides a new optimum windowing within the segments that can be combined additionally to the existing methods of nonparametric PSDE. Furthermore, the problem of frequency resolution in existing PSDE methods for noisy signals has been analyzed. In the existing approaches, the additive noise and the finiteness of data which are the causes of the original loss of the frequency resolution are not treated separately. The suggested new approach to spectrum estimation takes advantage of these two different causes of the problem and tackles the problem of resolution in two steps. First, the method optimally reduces noise interference with the signal via minimum noiseless description length (MNDL). The new power spectrum estimation MNDL-Periodogram of the denoised signal is then computed via conventional indirect periodogram to improve frequency resolution.

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