Statistical Analysis of RFI and Missed Detection in Aquarius Radiometer Measurements
- Resource Type
- Conference
- Authors
- De Matthaeis, Paolo; Le Vine, David
- Source
- 2018 IEEE 15th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad) Microwave Radiometry and Remote Sensing of the Environment (MicroRad), 2018 IEEE 15th Specialist Meeting on. :1-5 Mar, 2018
- Subject
- Geoscience
Histograms
Sea measurements
Ocean temperature
Antennas
Microwave radiometry
Temperature measurement
Antenna measurements
Aquarius
Microwave Radiometry
Interference
RFI
- Language
The Aquarius/SAC-D mission operated between August 2011 and June 2015 with the main goal of providing global estimates of sea surface salinity (SSS). It comprised both active and passive microwave sensors operating at L-band to observe the same surface area almost simultaneously. Measurements from both instruments underwent subsequent filtering to mitigate the effect of Radio Frequency Interference (RFI). However, RFI cannot always be detected, especially when the level of interfering signals is comparable to that of the natural surface emission. A study was performed here to assess the amount of missed detection in certain ocean region where low-level interference is a problem. The approach is to estimate the statistics of RFI starting from the acquired antenna temperature samples. The statistics are then used to simulate RFI and study its detection by the RFI filter. The results of this simulation are compared with the RFI actually detected in the acquired samples to provide an estimate of the level of missed detection.