Mera-Romo, Daniel Ernesto

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    Power and performance analysis for compact dual-band radiometers
    (2021-12-09) Mera-Romo, Daniel Ernesto; Rodríguez-Solís, Rafael A.; College of Engineering; Rodriguez, Domingo; Santiago, Nayda; Medina-Sánchez, Rafael H; Department of Electrical and Computer Engineering; Florez Gómez, Edwin
    This thesis presents a study about the power consumption and performance analysis for a portable, ultra-low power and small total power L-band radiometer. This study explores two processing system architectures: the ZYNQ 7010 and the ARM A8 embedded microprocessor. The processing algorithm based in C++ was tested for different clock frequencies, ADC sampling speeds and sizes of ADC buffer. To reduce the power consumption and the algorithm execution time, high-level and system-level optimizations, along with a fixed-point Q (16,16) data representation, were applied to the main code running on LINUX Debian V8. In the case with the ZYNQ 7010, the optimizations had no notable impact on reducing power or execution time in comparison with the ARM A8, where significant variations were measured as a function of optimizations type. The analysis showed a tradeoff between power consumption and algorithm performance, limiting the processing capability and the system flight time, the ZYNQ 7010 ran the algorithm faster, but the power consumption was higher in comparison with the ARM A8. The implementation of the fixed-point Q (16,16) representation allowed us to reduce the power consumption and the execution time in both architectures. Based on these results, we developed a heuristic methodology to minimize power consumption and increase the performance in the processing of radiometric data. The savings in energy consumption of the radiometer during 20 minutes of flight was 48% after applying the proposed heuristic methodology. The size of the radiometer has been reduced to 30 cm x 30 cm x 10 cm, weigh 1.36 kg. allowing these systems to become portable, low cost, and be carried by small drones to scan a large area. The results were validated measuring salinity in the Caribbean Sea of Puerto Rico.