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Data · dataset · 2026

An IQ-Level Benchmark Dataset and Interference Suppression Comparison Demo for Phased-Array Dual-Polarization Weather Radar

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An IQ-Level Benchmark Dataset and Interference Suppression Comparison Demo for Phased-Array Dual-Polarization Weather Radar<p dir="ltr"><b>Authors:</b> Zhihuo Xu and Yuexia Wang<br><b>Revised benchmark release:</b> 02 October 2026<br><b>Comparison program version:</b> 3.0.0</p><h2 dir="ltr">Overview</h2><p dir="ltr">This repository provides a self-contained IQ-level benchmark dataset and a reproducible comparison program for radio-frequency interference (RFI) suppression in phased-array dual-polarization weather radar.</p><p dir="ltr">Each released NetCDF result is self-contained: it stores the Ground-truth IQ, the corresponding Observed-RFI IQ, and the Recovered IQ produced by that method.

The Ground-truth and Observed-RFI IQ are duplicated across the four method files so that every result can be inspected independently while still supporting a common-input comparison.</p><p dir="ltr">The current release contains four successive suppression models:</p><ol><li><b>PolStatJoint</b></li><li><b>PolPhaseAware</b></li><li><b>PolMomentV1</b></li><li><b>PolMomentV2</b></li></ol><p dir="ltr">and three interference scenarios:</p><ul><li><b>CW</b> (<code>cw_only</code>)</li><li><b>LFM</b> (<code>lfm_only</code>)</li><li><b>LFM+CW</b> (<code>lfm_plus_cw</code>)</li></ul><p dir="ltr">Each method/scenario result is stored in a self-contained <code>recovered_full360.nc</code> file containing the Ground-truth IQ, Observed-RFI IQ, Recovered IQ, radar geometry, interference mask, and Level-II fields needed by the comparison workflow. </p><p dir="ltr">For each scenario, the PolStatJoint <code>recovered_full360.nc</code> is used as the canonical source of Ground-truth IQ, Observed-RFI IQ, the interference-ray mask, azimuth/range coordinates, radar metadata, and Ground-truth/Observed Level-II fields.

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Each of the four method files contributes only its own Recovered IQ to the method comparison. The program verifies compatible radar geometry before combining the results.</p><p dir="ltr">All recovered Level-II products are recalculated from each method's Recovered IQ with one common IQ-to-Level-II implementation. This avoids method-specific saved postprocessing from biasing the comparison.<br></p><p><br></p><p dir="ltr">Run the complete inspection from <code>data</code>:</p><p dir="ltr"><br></p><pre><i>python test_data.py</i><br></pre><p></p><p dir="ltr">Because this produces a long report for all 12 files, a compact release-integrity check is also available:</p><pre><br><code><em>python test_data.py --summary-only</em></code><br><br><br><b>Running the Benchmark</b></pre><p dir="ltr">Open a terminal in the <code>data_code</code> directory and run:</p><p dir="ltr"><br></p><pre><i>python compare_recovered_methods.py</i><br></pre><p></p><p dir="ltr">No input-path arguments are required when the directory layout above is used.

Default paths are anchored to the directory containing <code>compare_recovered_methods.py</code>, not to the terminal's current working directory.</p><h2 dir="ltr">Suggested Citation</h2><p dir="ltr">When this benchmark dataset and comparison program are used in an experiment, cite them as:</p><blockquote><p dir="ltr">Zhihuo Xu and Yuexia Wang, “An IQ-level benchmark dataset and interference suppression comparison demo for phased-array dual-polarization weather radar,” figshare, 2026, dataset and comparison code, doi:10.6084/m9.figshare.33191484.</p></blockquote><p></p>

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UP Research Data Repositoryoai:figshare.com:article/331914844 d agoJSON v1
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concepts[field].anzsrc:field:400913mapping · researchdata up ac zavocabulary-mapper@1.0.0keywords['Radio frequency engineering']
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