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

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.