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software-hardware implementation of a real-time digital signal processing receiver for noise detection using a broadband microwave correlation technique

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Date Issued:
2005
Summary:
In this research project the objective is to realize a software - hardware design implementation of a real time digital signal processing (DSP) radiometer - receiver for atmospheric noise temperature detection using the digital cross correlation technique. Atmospheric noise in the band of 20-30 GHz band is down-converted to 10.7 MHz IF and 3 MHz bandwidth in the form of statistical additive white gaussian noise which is used as the received signal by a digital signal processing broadband microwave radiometer based on the digital cross correlation technique. Living in a technological era, which is characterized as the era of data transmission and reception for RF-wireless communication systems, the theory of RF digital signal processing detection has applied to radar, ultrasound, and digital communications. Due to the need of high speed of data detection, much effort has gone into the design and development of sophisticated equipment to obtain such DSP detectors. Detection can also apply in seismic and big earthquake measurements by using geophones, nuclear testing, sonar and acoustic localizations, and even for oil excavations. Based on a statistical model and proposed design implementation, a basic DSP atmospheric noise temperature radiometer system is introduced and developed. The realization of the DSP Radiometer examines the noise characteristics (parameters) and their corresponding parameter values at the received input at the Antenna. It is essential to introduce the fundamental and statistical properties of the additive white gaussian noise, as well as the key-parameters which are used for the development of this real time design implementation. A design implementation of the proposed DSP atmospheric noise radiometer is discussed and developed via a statistical analysis. The statistical analysis utilizes the standard deviation, intermediate frequency, bandwidth, number of samples, and the temperature of the noise received signal at the antenna. Measurements and real time simulations in order to evaluate the noise temperature’s detectability in terms of system’s accuracy and performance of the noise random variable are also presented in this research work. The advantage of the digital cross correlation technique is examined and investigated.
Title: A software-hardware implementation of a real-time digital signal processing receiver for noise detection using a broadband microwave correlation technique.
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Name(s): Christodoulou, Christodoulos A.
Florida Atlantic University, Degree grantor
Helmken, Henry, Thesis advisor
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Issuance: monographic
Date Issued: 2005
Publisher: Florida Atlantic University
Place of Publication: Boca Raton, Fla.
Physical Form: application/pdf
Extent: 180 p.
Language(s): English
Summary: In this research project the objective is to realize a software - hardware design implementation of a real time digital signal processing (DSP) radiometer - receiver for atmospheric noise temperature detection using the digital cross correlation technique. Atmospheric noise in the band of 20-30 GHz band is down-converted to 10.7 MHz IF and 3 MHz bandwidth in the form of statistical additive white gaussian noise which is used as the received signal by a digital signal processing broadband microwave radiometer based on the digital cross correlation technique. Living in a technological era, which is characterized as the era of data transmission and reception for RF-wireless communication systems, the theory of RF digital signal processing detection has applied to radar, ultrasound, and digital communications. Due to the need of high speed of data detection, much effort has gone into the design and development of sophisticated equipment to obtain such DSP detectors. Detection can also apply in seismic and big earthquake measurements by using geophones, nuclear testing, sonar and acoustic localizations, and even for oil excavations. Based on a statistical model and proposed design implementation, a basic DSP atmospheric noise temperature radiometer system is introduced and developed. The realization of the DSP Radiometer examines the noise characteristics (parameters) and their corresponding parameter values at the received input at the Antenna. It is essential to introduce the fundamental and statistical properties of the additive white gaussian noise, as well as the key-parameters which are used for the development of this real time design implementation. A design implementation of the proposed DSP atmospheric noise radiometer is discussed and developed via a statistical analysis. The statistical analysis utilizes the standard deviation, intermediate frequency, bandwidth, number of samples, and the temperature of the noise received signal at the antenna. Measurements and real time simulations in order to evaluate the noise temperature’s detectability in terms of system’s accuracy and performance of the noise random variable are also presented in this research work. The advantage of the digital cross correlation technique is examined and investigated.
Identifier: 9780542385711 (isbn), 13290 (digitool), FADT13290 (IID), fau:10142 (fedora)
Collection: FAU Electronic Theses and Dissertations Collection
Note(s): College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 2005.
Subject(s): Signal processing--Digital techniques
Analog-to-digital converters
Radio--Receivers and reception
Held by: Florida Atlantic University Libraries
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/13290
Sublocation: Digital Library
Use and Reproduction: Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU
Is Part of Series: Florida Atlantic University Digital Library Collections.