Abstract:
This thesis is concerned with the processing of time
domain signals received by a single sensor. An example of
such signals is the radar return, which is used in one way
or another to estimate the power spectral density a
frequency representation of the power of the signal in
order that we can pick up and track the moving targets.
since the POWER SPECTRAL DENSITY ESTIMATION is a fundamental
tool in digital signal processing, the theory of the
different approaches to PSDE is given in the Literature
review chapter.
The aim of this research is to develop a technique for
the Power Spectral Density Estimation (PSDE) of multiple
signals in white noise, which has high resolution capability
and less frequency estimation errors. Hence, the various
techniques mentioned above are tested for their detection,
resolution capabilities and performance.
Finally the different parameters affecting the resolution
and detection capabilities of the Eigen Vector Decomposition
Techniques (EVDT) for PSDE are studied in some depth.