Modular Transmit-Receive Subarray Optimization of MIMO Radar Based on Entropy Maximization and Sidelobe Constraints

This paper proposes a MIMO radar modular transmit-receive subarray optimization method based on entropy maximization and sidelobe constraints, which can reduce the complexity of irregular subarray-based MIMO radar. The sidelobe suppression performance have been demonstrated by simulation results.

Authors

Institutions

Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881219
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

Modular Transmit-Receive Subarray Optimization of MIMO Radar Based on Entropy Maximization and Sidelobe Constraints

Shuang Qiu, Gege Tian, Weixing Sheng, Qian Xu et al.
Radar Systems and Signal Processing
article

Modular Transmit-Receive Subarray Optimization of MIMO Radar Based on Entropy Maximization and Sidelobe Constraints

Shuang Qiu, Gege Tian, Weixing Sheng, Qian Xu, Guanghui Xu
article en

Abstract

This paper proposes a MIMO radar modular transmit-receive subarray optimization method based on entropy maximization and sidelobe constraints, which can reduce the complexity of irregular subarray-based MIMO radar. The sidelobe suppression performance have been demonstrated by simulation results.

Nanjing University of Science and Technology (CN), Shanghai Industrial Technology Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 54%
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.