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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | de Roo, R.D. Misra, S. |
| Copyright Year | 2008 |
| Description | Author affiliation: Dept. of Atmos., Oceanic & Space Sci., Univ. of Michigan, Ann Arbor, MI (de Roo, R.D.; Misra, S.) |
| Abstract | The kurtosis statistic is an effective detector of pulsed sinusoidal RFI in a microwave radiometer, but it fails to detect RFI when the pulsed sinusoid is present for exactly half of the integration period. That is, the kurtosis is blind at an RFI duty cycle of 50%. In this paper, we explore the possibilities of using a higher order statistic to eliminate this detection blind spot in the kurtosis statistic. The higher order statistic does have sensitivity at an RFI duty cycle of 50%, but sensitivity is relatively low. |
| File Size | 3664301 |
| File Format | |
| ISBN | 9781424428076 |
| DOI | 10.1109/IGARSS.2008.4778995 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-07-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Interference elimination Radiofrequency interference Voltage Microwave radiometry Detectors Higher order statistics Digital communication Interference suppression Ocean temperature Temperature sensors microwave radiometry digital radio interference suppression |
| Content Type | Text |
| Resource Type | Article |
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