  The goal of this thesis was to develop a procedure to optimize the mirror
suppression, which reduces the dynamic range of the Fast Fourier Transform
spectrometers (FFTS), and implement this procedure in the Field Programmable
Gate Array (FPGA) of the FFTS. This is achieved by applying a calibration on
the complex amplitude spectrum. Modern multi-beam heterodyne receivers are
equipped with a large number of independent signal chains, which leads to a
complex system that consumes space as well as power and is expensive. To reduce
the complexity of the receiver array the intermediate frequency (IF) band is
4-8 GHz, which requires the FFTS to sample this band directly.
  The input bandwidth of 4 GHz of the current generation of FFTS cannot be
sampled with a single analog-digital converter (ADC). To reach that bandwidth,
multiple ADCs sample the same signal at different points in time. The method is
called \"time interleaved sampling\". The characteristics of the ADCs differ
from each other, which leads to mirror signals in the spectrum. These mirror
signals can reduce the dynamic range of the spectrometers. Therefore the
mismatches must be actively corrected. The current generation of FFTS use a
frequency independent calibration, which optimizes the mirror suppression at
one fixed frequency. This it is not optimal as some of the mismatches are
frequency dependent and their impact increases with frequency.
  The procedure developed during this thesis work involves three steps. First
the mismatches are measured over the frequency band. Then filter coefficients
are calculated from these mismatches using a model of a time interleaved ADC.
These filter coefficients are then applied to the complex amplitude spectra of
the ADCs. The newly implemented calibration improves the mirror suppression up
to 20 dB compared to the frequency independent calibration.
