Radiometric Resolution Analysis and a Simulation Model
AbstractTotal power radiometer has a simple configuration and the best theoretical resolution. Gain fluctuations and calibration errors, however, can induce severe errors in the solved scene brightness temperature. To estimate the overall radiometer performance we present a numerical simulation tool that can be used to determine the radiometric resolution. Our model considers three main components that degrade the radiometric resolution: thermal noise, 1/f noise and calibration errors. These error sources have long been known to exist, but comprehensive models able to account all these effects quantitatively and accurately in a practical manner have been missing. We have developed a radiometer simulation model that is able to produce radiometer signals that incorporate realistic radiometer effects that show up as noise and other errors in the radiometer video signal. Our simulation tool integrates the fundamental radiometer theories numerically and allows the investigation of different calibration schemes and receiver topologies. The model can be used as a guide for design and optimization as well as for verification of the radiometer performance. Moreover, it can be extended to a much larger and more complex radiometer systems allowing better system level performance estimation and optimization with minimal bread-board implementations. The model mimics real radiometer video data and thus the complete data analysis pipeline can be developed and verified before the real video data is available. In this paper, the model has been applied to a total power radiometer operating in the 52 GHz frequency range. View Full-Text
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Kaisti, M.; Altti, M.; Poutanen, T. Radiometric Resolution Analysis and a Simulation Model. Remote Sens. 2016, 8, 85.
Kaisti M, Altti M, Poutanen T. Radiometric Resolution Analysis and a Simulation Model. Remote Sensing. 2016; 8(2):85.Chicago/Turabian Style
Kaisti, Matti; Altti, Miikka; Poutanen, Torsti. 2016. "Radiometric Resolution Analysis and a Simulation Model." Remote Sens. 8, no. 2: 85.
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