Optimal Sensor Selection for Jammer Identification

Deception jamming is a powerful technique used to disrupt various radar systems. In this work, we propose a novel sensor selection scheme for FDA-MIMO radar systems designed to maximize the likelihood of accurate jammer identification. The approach exploits the inherent delay between a jammer measuring incoming waveforms and its response. This delay induces a slight shift in the perceived distance across different receivers, known as the deception range, enabling differentiation between jammers and true targets. The proposed sensor selection scheme is formulated to minimize the achievable variance of the deception range, enhancing identification accuracy.

Authors

Institutions

Publication Details

Published
2025-09-08
DOI
https://doi.org/10.23919/eusipco63237.2025.11226469
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimal Sensor Selection for Jammer Identification

Andreas Jakobsson, Andreas Jansson
Radar Systems and Signal Processing
article

Optimal Sensor Selection for Jammer Identification

Andreas Jakobsson, Andreas Jansson
article en

Abstract

Deception jamming is a powerful technique used to disrupt various radar systems. In this work, we propose a novel sensor selection scheme for FDA-MIMO radar systems designed to maximize the likelihood of accurate jammer identification. The approach exploits the inherent delay between a jammer measuring incoming waveforms and its response. This delay induces a slight shift in the perceived distance across different receivers, known as the deception range, enabling differentiation between jammers and true targets. The proposed sensor selection scheme is formulated to minimize the achievable variance of the deception range, enhancing identification accuracy.

Statistics Sweden (SE), Lund University (SE)
Openalex Percentile: Top 50%
Radar Systems and Signal Processing
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.