A Power and Performance Study of Compact<i>L</i>-Band Total Power Radiometers for UAV Remote Sensing Based in the Processing on ZYNQ and ARM Architectures

This article presents a study on the power consumption and performance analysis of small, portable, ultra-low total L-band radiometer. The explores two processing architectures: ZYNQ 7010 ARM A8 embedded microprocessor. algorithm based in C&#x002B;&#x002B; was tested for different clock frequencies, ADC sampling speeds, sizes buffer. To reduce execution time, high-level system-level optimizations, along with fixed-point Q(16,16) data representation, were applied to main code running LINUX Debian V8. In case 7010, optimizations had no notable impact reducing or time comparison A8, where significant variations measured, showing tradeoff between that limits capability system flight time. runs faster, but is higher than A8. Using implementation reduced both architectures. Based these results, we developed heuristic methodology minimize increase performance. Energy savings radiometer during 20 min 48&#x0025;. size 30 cm &#x00D7; 10 cm, weight 1.36 kg, (3 lb) allowing be carried by small drones. results validated measuring salinity at locations Western Puerto Rico.