Radar detectability of light aircraft micro‐Doppler modulation

Abstract The critical role of specifying micro‐Doppler mode performance in the modelling and development of modern radar systems is investigated. The authors focus on the detection of micro‐Doppler modulation from light aircraft, analysing data from eight helicopters and nine propeller aircraft. With the growing need for accurate target classification in radar technology, incorporating micro‐Doppler detection metrics into radar performance specifications has become increasingly important. This research offers a novel approach to measuring the detectability of micro‐Doppler modulation relative to returns from the main fuselage. The investigation covers the impacts of various preprocessing techniques, polarisation, and aspect angle on detection capabilities. Findings reveal that, on average, micro‐Doppler modulation from propellers is detectable at distances between 50% and 100% of the range at which the fuselage is detected. For helicopters, this range decreases to between 30% and 80%. Additionally, the study introduces empirically derived statistical models designed to predict micro‐Doppler detection ranges in relation to fuselage returns, enhancing the predictability and specificity of radar system performance. This novel contribution presents a basis for improving radar system specifications, leading ultimately to more predictable and reliable light aircraft classification.

Authors

Institutions

Publication Details

Journal
IET Radar Sonar & Navigation
Published
2024-08-12
DOI
https://doi.org/10.1049/rsn2.12612
Citations
1
Primary Topic
Advanced SAR Imaging Techniques
Type
article
Field-Weighted Citation Impact
1.30
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radar detectability of light aircraft micro‐Doppler modulation

Robert John Berndt, Mohammed Yunus Abdul Gaffar, Daniel O'hagan, W. Nel
1 citations
IET Radar Sonar & Navigation
Advanced SAR Imaging Techniques
1.30
article

Radar detectability of light aircraft micro‐Doppler modulation

Robert John Berndt, Mohammed Yunus Abdul Gaffar, Daniel O'hagan, W. Nel
article en
1 citations

Abstract

Abstract The critical role of specifying micro‐Doppler mode performance in the modelling and development of modern radar systems is investigated. The authors focus on the detection of micro‐Doppler modulation from light aircraft, analysing data from eight helicopters and nine propeller aircraft. With the growing need for accurate target classification in radar technology, incorporating micro‐Doppler detection metrics into radar performance specifications has become increasingly important. This research offers a novel approach to measuring the detectability of micro‐Doppler modulation relative to returns from the main fuselage. The investigation covers the impacts of various preprocessing techniques, polarisation, and aspect angle on detection capabilities. Findings reveal that, on average, micro‐Doppler modulation from propellers is detectable at distances between 50% and 100% of the range at which the fuselage is detected. For helicopters, this range decreases to between 30% and 80%. Additionally, the study introduces empirically derived statistical models designed to predict micro‐Doppler detection ranges in relation to fuselage returns, enhancing the predictability and specificity of radar system performance. This novel contribution presents a basis for improving radar system specifications, leading ultimately to more predictable and reliable light aircraft classification.

IET Radar Sonar & NavigationVol. 18(10)
University of Cape Town (ZA), Council for Scientific and Industrial Research (ZA), Fraunhofer Institute for High Frequency Physics and Radar Techniques (DE)
Affordable and clean energy
Openalex Percentile: Top 13%
Advanced SAR Imaging Techniques
1.30
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Radar detectability of light aircraft micro‐Doppler modulation — Robert John Berndt, Mohammed Yunus Abdul Gaffar, et al. · IET Radar Sonar & Navigation (2024) | TGRS Research Map | TGRS