A Mainlobe Jamming Suppression Method for an FDA–MIMO Radar System With an Ultralarge Sparse Aperture

Conventional frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar systems offer adjustable range-domain degrees of freedom (DOFs), enabling effective suppression of mainlobe deceptive jamming. However, their performance significantly degrades, especially in the presence of mainlobe suppressive jamming in electronic countermeasure scenarios. Inspired by distributed configurations, this paper investigates an FDA-MIMO radar system with an ultralarge sparse aperture (ULSA), achieved by deploying multiple auxiliary passive receiving antennas around the FDA-MIMO radar. This system retains the range-based DOFs provided by the FDA-MIMO radar while benefiting from the high angular resolution offered by the distributed configuration. Building on this, we propose a mainlobe jamming suppression method that combines the generalized inner product (GIP) with minimum variance distortionless response (MVDR) beamforming. This approach simultaneously mitigates both mainlobe deceptive and suppressive jamming within the joint range-angle domain. Simulations and measured data validate the effectiveness of the proposed system in suppressing mainlobe jamming. Comparative analysis with traditional FDA-MIMO and distributed MIMO radar systems demonstrates the superior performance of the proposed system.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-05-19
DOI
https://doi.org/10.1109/taes.2025.3566087
Citations
1
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
4.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Mainlobe Jamming Suppression Method for an FDA–MIMO Radar System With an Ultralarge Sparse Aperture

Dezhi Tian, Zhennan Liang, Changjie Wang, Xiaorong Zhou et al.
1 citations
IEEE Transactions on Aerospace and Electronic Systems
Radar Systems and Signal Processing
4.99
article

A Mainlobe Jamming Suppression Method for an FDA–MIMO Radar System With an Ultralarge Sparse Aperture

Dezhi Tian, Zhennan Liang, Changjie Wang, Xiaorong Zhou, Quanhua Liu, Weiming Pu
article en
1 citations

Abstract

Conventional frequency diverse array (FDA) multiple-input multiple-output (MIMO) radar systems offer adjustable range-domain degrees of freedom (DOFs), enabling effective suppression of mainlobe deceptive jamming. However, their performance significantly degrades, especially in the presence of mainlobe suppressive jamming in electronic countermeasure scenarios. Inspired by distributed configurations, this paper investigates an FDA-MIMO radar system with an ultralarge sparse aperture (ULSA), achieved by deploying multiple auxiliary passive receiving antennas around the FDA-MIMO radar. This system retains the range-based DOFs provided by the FDA-MIMO radar while benefiting from the high angular resolution offered by the distributed configuration. Building on this, we propose a mainlobe jamming suppression method that combines the generalized inner product (GIP) with minimum variance distortionless response (MVDR) beamforming. This approach simultaneously mitigates both mainlobe deceptive and suppressive jamming within the joint range-angle domain. Simulations and measured data validate the effectiveness of the proposed system in suppressing mainlobe jamming. Comparative analysis with traditional FDA-MIMO and distributed MIMO radar systems demonstrates the superior performance of the proposed system.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(5)
Beijing Institute of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Radar Systems and Signal Processing
4.99
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.