Multifrequency Measurements of Radar Ground Clutter at 42 Sites. Volume 2. Appendices A through D

Billingsley, J. B.; Larrabee, John F.

doi:10.21236/ada246711

Cited by 22 publications

(20 citation statements)

References 4 publications

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“…This is on the order of 5 dB below the median levels (average of HH and VV) observed for the 1991 measurements. The predicted value agrees quite well with the 1992 impulse measurements which have a median _o values of approximately -19 dB.The main source of naJrow band clutter data is the MIT Lincoln Laboratory data(Billingsley and Larrabee 1991). This data was gathered using five radar systems operating over narrow bandwidths.…”

supporting

confidence: 69%

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Ultrawideband radar clutter measurements of forested terrain, 1991--1992

Sheen¹,

Severtsen²,

Prince³

et al. 1993

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Mean tr°-6.4 dB-9.3 dB Median tr°-18.4 dB-19.1 dB Std Dev/Mean tr°6.1 dB 6.5 dB Max cr°22.8 dB 23 dB Weibull Spread tr°2.97 2.83 1.5 Receiver Bandwidth 300-1000 MHz (nominal) Receiver Noise Figure 2 dB (nominal) Range Resolution 0.214 m (700 MHz BW) Operation of the high power pulser is controlled by the PRF Generator which generates a short logic pulse approximately 300 times per second to trigger the main pulser (Current Research model HVTP). The output of the main pulser is passed through a 3.1

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supporting

confidence: 69%

“…The statistical parameters are defined in the same manner as in Reference (Billingsley and Larrabee 1991). The mean is defined by…”

Section: 8mentioning

confidence: 99%

Ultrawideband radar clutter measurements of forested terrain, 1991--1992

Sheen¹,

Severtsen²,

Prince³

et al. 1993

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“…We illustrate this situation in Figures 7 and 8 [6] who found VoF4 to increase with radar frequency in low relief farmland, but to decrease with frequency in high relief mountainous terrain.…”

Section: Discussionmentioning

confidence: 89%

Radar terrain clutter model with consideration of propagation effects

Lin

Reilly

1993

23rd European Microwave Conference, 1993

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This paper presents a method to characterize terrain visibility and clutter as seen by a shipboard radar in a coastal environment. The method takes into account the location of the ship, the particular terrain topography, the radar parameters, and the propagation effect. The method incorporates an optical ray-trace program, an electromagnetic parabolic equation model, and a data base of terrain elevations. The approach can account for the effects of refraction, multipath, and diffraction with arbitrary propagation. The calculated clutter received by the radar is strongly affected by the propagation factor, and varies significantly with terrain roughness and radar frequency. The statistical distribution of reflectivity obtained with our method compares favorably with experimental data obtained under conditions similar to those modeled.

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“…Additional information on ground clutter can be found in papers by Billingsley and Larrabee (1991) and Billingsley (1993) as well as others in the Skolnik review. For present purposes it is sufficient to note that most significant clutter echoes at low angles come from spatially localized or discrete vertical features associated with elevated regions of the visible landscape (e.g., trees, buildings, or towers).…”

Section: Introductionmentioning

confidence: 99%

General Application of the Relative Calibration Adjustment (RCA) Technique for Monitoring and Correcting Radar Reflectivity Calibration

Wolff

Marks

Petersen

2015

Journal of Atmospheric and Oceanic Technology

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Accurate calibration of radar reflectivity is integral to quantitative radar measurements of precipitation and a myriad of other radar-based applications. A statistical method was developed that utilizes the probability distribution of clutter area reflectivity near a stationary, ground-based radar to provide near-real-time estimates of the relative calibration of reflectivity data. The relative calibration adjustment (RCA) method provides a valuable, automated near-real-time tool for maintaining consistently calibrated radar data with relative calibration uncertainty of 60.5 dB or better. The original application was to S-band data in a tropical oceanic location, where the stability of the method was thought to be related to the relatively mild ground clutter and limited anomalous propagation (AP). This study demonstrates, however, that the RCA technique is transferable to other S-band radars at locations with more intense ground clutter and AP. This is done using data from NASA's polarimetric (NPOL) surveillance radar data during the Iowa Flood Studies (IFloodS) Global Precipitation Measurement (GPM) field campaign during spring of 2013 and other deployments. Results indicate the RCA technique is well capable of monitoring the reflectivity calibration of NPOL, given proper generation of an areal clutter map. The main goal of this study is to generalize the RCA methodology for possible extension to other ground-based S-band surveillance radars and to show how it can be used both to monitor the reflectivity calibration and to correct previous data once an absolute calibration baseline is established.

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Multifrequency Measurements of Radar Ground Clutter at 42 Sites. Volume 2. Appendices A through D

Cited by 22 publications

References 4 publications

Ultrawideband radar clutter measurements of forested terrain, 1991--1992

Ultrawideband radar clutter measurements of forested terrain, 1991--1992

Radar terrain clutter model with consideration of propagation effects

General Application of the Relative Calibration Adjustment (RCA) Technique for Monitoring and Correcting Radar Reflectivity Calibration

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