On the Shapiro-Wilk Test for the Detection of Pulsed Sinusoidal Radio Frequency Interference

Guner, B.; Frankford, Mark T.; Johnson, Joel T.

doi:10.1109/igarss.2008.4778951

Cited by 7 publications

(9 citation statements)

References 9 publications

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“…On the other hand, if it is desired to maximize the probability of detection, the RFI detection threshold must be set to a relative low value, leading to a high probability of false alarm. A good way to evaluate the compromise between P det and P fa , is the calculation of the so-called Receiver Operating Characteristic (ROC) curves P det (P fa ) [11,13,14]. In addition to ROC plots of the Interference to Noise Ratio (INR) as a function of the sample size and other parameters are shown.…”

Section: Validation Of Normality Tests In the Absence Of Rfimentioning

confidence: 99%

“…A drawback of this test is the limitation of the sample size to a maximum of 2,000 values [24]. Longer sample lengths can be tested by dividing it in several shorter length sets of samples and calculating the SW test on each set, and averaging the results as they are normally distributed [13,14].…”

Section: Shapiro-wilk Test (Sw)mentioning

confidence: 99%

“…The performance of each normality test is calculated for different types of RFI representative of the ones actually encountered: Pulsed sinusoidal signal: this signal has been extensively studied in microwave radiometry [7][8][9][10][11]13,14], as it is a common interference signal (e.g. a radar signal or a third order intermodualtion product spurious signal).…”

Section: Performance Of Normality Tests For Different Rfi Typesmentioning

confidence: 99%

“…The best known time domain statistical analysis in microwave radiometry is the Kurtosis (ratio of the fourth moment and the square of the second moment) which must be equal to 3 in RFI-free conditions [7][8][9]. The sixth order moment [10], and other algorithms [11][12][13][14] have also been studied.…”

Section: Introductionmentioning

confidence: 99%

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Normality Analysis for RFI Detection in Microwave Radiometry

Tarongi

Camps

2009

Remote Sensing

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Radio-frequency interference (RFI) present in microwave radiometry measurements leads to erroneous radiometric results. Sources of RFI include spurious signals and harmonics from lower frequency bands, spread-spectrum signals overlapping the "protected" band of operation, or out-of-band emissions not properly rejected by the pre-detection filters due to its finite rejection. The presence of RFI in the radiometric signal modifies the detected power and therefore the estimated antenna temperature from which the geophysical parameters will be retrieved. In recent years, techniques to detect the presence of RFI in radiometric measurements have been developed. They include time-and/or frequency domain analyses, or time and/or frequency domain statistical analysis of the received signal which, in the absence of RFI, must be a zero-mean Gaussian process. Statistical analyses performed to date include the calculation of the Kurtosis, and the Shapiro-Wilk normality test of the received signal. Nevertheless, statistical analysis of the received signal could be more extensive, as reported in the Statistics literature. The objective of this work is the study of the performance of a number of normality tests encountered in the Statistics literature when applied to the detection of the presence of RFI in the radiometric signal, which is Gaussian by nature. A description of the normality tests and the RFI detection results for different kinds of RFI are presented in view of determining an omnibus test that can deal with the blind spots of the currently used methods.

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Section: Validation Of Normality Tests In the Absence Of Rfimentioning

confidence: 99%

Section: Shapiro-wilk Test (Sw)mentioning

confidence: 99%

Section: Performance Of Normality Tests For Different Rfi Typesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Normality Analysis for RFI Detection in Microwave Radiometry

Tarongi

Camps

2009

Remote Sensing

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“…The most widely used time/frequency domain statistical analysis in microwave radiometry is the Kurtosis (ratio of the fourth moment and the square of the second moment) which must be equal to 3 in RFI-free conditions [29,45,46]. However, the sixth order moment [47], and other algorithms [31,34,40,48] have also been studied. summarizes the conclusions obtained from the simulation results.…”

Section: Chapter 4 4 Normality Analysis For Rfi Detection In Microwav...mentioning

confidence: 99%

Radio frequency interference in microwave radiometry: statistical analysis and study of techniques for detection and mitigation

Tarongí Bauzá

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Microwave radiometry field has been increasing its performance with higher accuracy measurements, leading to a more presence in the remote sensing field. Several space-borne, air-borne and ground-based radiometers have been developed to perform measurement campaigns; however, the actual sensitivity of a radiometer is often limited by man-made radio emissions such as radars, broadcasting emissions, wireless communications and many other communication systems based on electromagnetic waves, limiting the improvement in the radiometers¿ performance. Consequently, in order to maintain the accuracy in the radiometric measurements, it has been researched in the Radio Frequency Interference (RFI) detection and mitigation systems and algorithms for the microwave radiometry field. The scope of this doctoral thesis is the development and testing of RFI detection and mitigation algorithms in order to enhance radiometric measurements performed by the Multifequency Experimental Radiometer with Interference Tracking for Experiments over Land and Littoral (MERITXELL). The MERITXELL has been developed during this thesis with the idea studying the RFI present in several radiometric bands and the way to mitigate it, as well as to obtain data from diverse frequency bands and devices in only one measurement campaign.

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Multifrequency experimental radiometer with interference tracking for experiments over land and littoral: Meritxell

Tarongi

Camps

2009

2009 IEEE International Geoscience and Remote Sensing Symposium

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On the Shapiro-Wilk Test for the Detection of Pulsed Sinusoidal Radio Frequency Interference

Cited by 7 publications

References 9 publications

Normality Analysis for RFI Detection in Microwave Radiometry

Normality Analysis for RFI Detection in Microwave Radiometry

Radio frequency interference in microwave radiometry: statistical analysis and study of techniques for detection and mitigation

Multifrequency experimental radiometer with interference tracking for experiments over land and littoral: Meritxell

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