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Remote Sens. 2010, 2(7), 1826-1843; doi:10.3390/rs2071826
Article
Microwave Radiometer Resolution Optimization Using Variable Observation Times
1
Remote Sensing Lab, Departament del Teoria del Senyal i Comunicacions, Universitat Politecnica de Catalunya, Barcelona, Spain
2
Institut d’Estudis Espacials de Catalunya, IEEC CRAE/UPC, Barcelona, Spain
* Author to whom correspondence should be addressed.
Received: 7 June 2010; in revised form: 5 July 2010 / Accepted: 7 July 2010 / Published: 20 July 2010
Abstract: This manuscript first revises the performance of total power, Dicke-type and noise-injection microwave radiometers. Equations for the radiometric resolution are revised or derived, and their performance in terms of the radiometric resolution improvement with respect to the ideal total power radiometer resolution is evaluated. It is then shown that the radiometric resolution of noise-injection radiometers can be optimized by adjusting dynamically the integration times devoted to the three measurements: antenna, antenna plus noise, and reference load. Numerical results are then presented to illustrate the dependence of the radiometric resolution with different instrument parameters. Experimental results are finally presented to corroborate the predicted performance. It is also shown that in many cases of interest these integration times can be set to a constant value with little degradation with respect to the optimum case, but better than the case in which the total integration time is divided in three equal subintervals.
Keywords: radiometer; resolution; integration times; optimization
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MDPI and ACS Style
Camps, A.; Tarongí, J.M. Microwave Radiometer Resolution Optimization Using Variable Observation Times. Remote Sens. 2010, 2, 1826-1843.
AMA StyleCamps A, Tarongí JM. Microwave Radiometer Resolution Optimization Using Variable Observation Times. Remote Sensing. 2010; 2(7):1826-1843.
Chicago/Turabian StyleCamps, Adriano; Tarongí, Jose Miguel. 2010. "Microwave Radiometer Resolution Optimization Using Variable Observation Times." Remote Sens. 2, no. 7: 1826-1843.
Remote Sens.
EISSN 2072-4292
Published by MDPI AG, Basel, Switzerland
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