An Efficient Design of LPI Transmit Beampattern for MIMO Radar via $L_{p}$-Norm Smoothing

The design of a transmit beampattern may generate large instantaneous amplitude fluctuations in the synthesized waveforms at the probed region, which distorts the low probability of intercept (LPI) performance of multi-input–multi-output (MIMO) radar systems. To avoid the radar signal being intercepted and identified by electronic interception measures, it is crucial to design an LPI transmit beampattern with a smoothed amplitude. In this article, an effective LPI transmit beampattern design scheme is proposed for MIMO radar systems. First, we formulate the peak-to-average power ratio model of the synthetic waveform. Second, we establish an LPI transmit beampattern scheme to minimize the instantaneous amplitude fluctuations of the synthesized waveform and control the transmit beampattern, which is a nonconvex nonsmooth min–max problem. To smooth the min–max problem, we approximate the max function by using the $L_{p}$-norm. Then, we propose a majorization method for the $L_{p}$-norm, which transforms the $L_{p}$-norm into a quadratic polynomial. Finally, to solve the min–max problem efficiently, a quadratic function majorization method is proposed. Numerical results demonstrate that the proposed method designs an LPI transmit beampattern efficiently.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-02-20
DOI
https://doi.org/10.1109/taes.2025.3543803
Citations
6
Primary Topic
Radar Systems and Signal Processing
Type
article
Field-Weighted Citation Impact
29.96

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Efficient Design of LPI Transmit Beampattern for MIMO Radar via $L_{p}$-Norm Smoothing

Bo Tang, Juan Hu, Zhengyu Lan, Lei Zuo
6 citations
IEEE Transactions on Aerospace and Electronic Systems
Radar Systems and Signal Processing
29.96
article

An Efficient Design of LPI Transmit Beampattern for MIMO Radar via $L_{p}$-Norm Smoothing

Bo Tang, Juan Hu, Zhengyu Lan, Lei Zuo
article en
6 citations

Abstract

The design of a transmit beampattern may generate large instantaneous amplitude fluctuations in the synthesized waveforms at the probed region, which distorts the low probability of intercept (LPI) performance of multi-input–multi-output (MIMO) radar systems. To avoid the radar signal being intercepted and identified by electronic interception measures, it is crucial to design an LPI transmit beampattern with a smoothed amplitude. In this article, an effective LPI transmit beampattern design scheme is proposed for MIMO radar systems. First, we formulate the peak-to-average power ratio model of the synthetic waveform. Second, we establish an LPI transmit beampattern scheme to minimize the instantaneous amplitude fluctuations of the synthesized waveform and control the transmit beampattern, which is a nonconvex nonsmooth min–max problem. To smooth the min–max problem, we approximate the max function by using the $L_{p}$-norm. Then, we propose a majorization method for the $L_{p}$-norm, which transforms the $L_{p}$-norm into a quadratic polynomial. Finally, to solve the min–max problem efficiently, a quadratic function majorization method is proposed. Numerical results demonstrate that the proposed method designs an LPI transmit beampattern efficiently.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
Xidian University (CN), National University of Defense Technology (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 1%
Radar Systems and Signal Processing
29.96
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.