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Within this proceeding, we introduce the U-Board platform, a versatile platform for signal generation, acquisition and processing, based on a heterogenous processing architecture. Based on this platform we present a readout for Microwave Kinetic Inductance Detectors (MKIDs) for the A-MKID camera for APEX. In addition to the implementation of the readout on this heterogenous architecture, we also present a first comparison of the performance of the readout compared to the currently used readout of the A-MKID camera. Last but not least, we discuss how we plan to miniaturize the current prototype, which is based on commercial off the shelf components.

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.