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Title: Sparse Recovery for Clutter Identification in Radar Measurements

 [1];  [2];  [3];  [3];  [1]
  1. University of Pittsburgh
  2. ORNL
  3. Washington University, St. Louis
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
Work for Others (WFO)
OSTI Identifier:
DOE Contract Number:
Resource Type:
Resource Relation:
Conference: Defense and Commercial Sensing (DCS) Compressive Sensing VI, Anaheim, CA, USA, 20170409, 20170413
Country of Publication:
United States
Sparse Recovery; Orthogonal Matching Pursuit; Nonstationary Environments; Nonhomogeneous Clutter; Cognitive Radar

Citation Formats

Kelsey, Malia, Sen, Satyabrata, Xiang, Yijian, Nehorai, Arye, and Akcakaya, Murat. Sparse Recovery for Clutter Identification in Radar Measurements. United States: N. p., 2017. Web.
Kelsey, Malia, Sen, Satyabrata, Xiang, Yijian, Nehorai, Arye, & Akcakaya, Murat. Sparse Recovery for Clutter Identification in Radar Measurements. United States.
Kelsey, Malia, Sen, Satyabrata, Xiang, Yijian, Nehorai, Arye, and Akcakaya, Murat. Sun . "Sparse Recovery for Clutter Identification in Radar Measurements". United States. doi:.
title = {Sparse Recovery for Clutter Identification in Radar Measurements},
author = {Kelsey, Malia and Sen, Satyabrata and Xiang, Yijian and Nehorai, Arye and Akcakaya, Murat},
abstractNote = {},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Sun Jan 01 00:00:00 EST 2017},
month = {Sun Jan 01 00:00:00 EST 2017}

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  • The accurate detection and removal of insect clutter from millimeter wavelength cloud radar (MMCR) returns is of high importance to boundary layer cloud research (e.g., Geerts et al., 2005). When only radar Doppler moments are available, it is difficult to produce a reliable screening of insect clutter from cloud returns because their distributions overlap. Hence, screening of MMCR insect clutter has historically involved a laborious manual process of cross-referencing radar moments against measurements from other collocated instruments, such as lidar. Our study looks beyond traditional radar moments to ask whether analysis of recorded Doppler spectra can serve as the basismore » for reliable, automatic insect clutter screening. We focus on the MMCR operated by the Department of Energy's (DOE) Atmospheric Radiation Measurement (ARM) program at its Southern Great Plains (SGP) facility in Oklahoma. Here, archiving of full Doppler spectra began in September 2003, and during the warmer months, a pronounced insect presence regularly introduces clutter into boundary layer returns.« less
  • Measurements of high frequency (HF) auroral clutter using the Verona Ava Linear Array Radar (VALAR) system are presented. VALAR is an experimental HF backscatter system capable of obtaining high resolution synoptic mapping of HF auroral clutter. The receive system includes a 700 meter long linear array. providing the high azimuthal resolution required for determining the spatial distribution of HF auroral clutter. Since the completion of the system at the end of 1989, data acquisition campaigns have been carried out on a near-monthly basis. In this report, the authors provide a brief description of VALAR and present preliminary measurements of threemore » types of phenomena: ground backscatter, slant-F, and auroral backscatter.« less
  • The ultrawideband (UWB) radar clutter measurements project was conducted to provide radar clutter data for new ultrawideband radar systems which are currently under development. A particular goal of this project is to determine if conventional narrow band clutter data may be extrapolated to the UWB case. This report documents measurements conducted in 1991 and additional measurements conducted in 1992. The original project consisted of clutter measurements of forested terrain in the Olympic National Forest near Sequim, WA. The impulse radar system used a 30 kW peak impulse source with a 2 Gigasample/second digitizer to form a UHF (300--1000 MHz) ultrawidebandmore » impulse radar system. Additional measurements were conducted in parallel using a Systems Planning Corporation (SPC) step-chirp radar system. This system utilized pulse widths of 1330 nanoseconds over a bandwidth of 300--1000 MHz to obtain similar resolution to the impulse system. Due to the slow digitizer data throughput in the impulse radar system, data collection rates were significantly higher using the step-chirp system. Additional forest clutter measurements were undertaken in 1992 to increase the amount of data available, and especially to increase the amount of data from the impulse radar system.« less