Oversampled filter bank channelizer for cryogenic detectors

Area of Science:

• Physics
• Electrical Engineering
• Signal Processing

Background:

• Cryogenic detectors, like microwave kinetic inductance detectors, require advanced readout systems.
• Efficient signal processing is crucial for handling the large data volumes generated by modern physics experiments.

Purpose of the Study:

• To implement an oversampled generalized discrete Fourier transform (GDFT) filter bank (FB) on a field-programmable gate array (FPGA).
• To optimize the GDFT filter bank for readout applications in cryogenic detectors.
• To demonstrate the data reuse and flexibility of the GDFT channelizer structure for large-scale physics experiments.

Main Methods:

• Derivation of a polyphase structure for efficient complex-valued subband processing using GDFT modulation.
• Utilization of a fast Fourier algorithm for a highly efficient polyphase implementation with arbitrary integer decimation ratios.
• Testing the filter bank through a 16-channel GDFT channelizer implemented on Xilinx Zynq FPGAs.

Main Results:

• A 16-channel polyphase GDFT filter bank channelizer was successfully implemented on FPGAs.
• The implementation demonstrated efficient data reuse and flexibility inherent in the GDFT channelizer structure.
• Hardware resource usage was evaluated, considering the need for extremely large readout formats in physics experiments.

Conclusions:

• The developed FPGA-based GDFT filter bank provides an efficient solution for cryogenic detector readout.
• The polyphase GDFT channelizer architecture offers flexibility and data handling capabilities suitable for large-scale physics experiments.
• This implementation addresses the critical requirement for high-throughput data acquisition in cutting-edge scientific research.