FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting
Frequency diversity array–multiple-input multiple-output (FDA-MIMO) radar realizes an angle- and range-dependent system model by adopting a slight frequency offset between adjacent transmitter sensors, thereby enabling potential target localization. This paper presents FDA-MIMO radar-based rapid tar...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2025-01-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/2/513 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832587498753097728 |
---|---|
author | Cheng Wang Zhi Zheng Wen-Qin Wang |
author_facet | Cheng Wang Zhi Zheng Wen-Qin Wang |
author_sort | Cheng Wang |
collection | DOAJ |
description | Frequency diversity array–multiple-input multiple-output (FDA-MIMO) radar realizes an angle- and range-dependent system model by adopting a slight frequency offset between adjacent transmitter sensors, thereby enabling potential target localization. This paper presents FDA-MIMO radar-based rapid target localization via the reduction dimension root reconstructed multiple signal classification (RDRR-MUSIC) algorithm. Firstly, we reconstruct the two-dimensional (2D)-MUSIC spatial spectrum function using the reconstructed steering vector, which involves no coupling of direction of arrival (DOA) and range. Subsequently, the 2D spectrum peaks search (SPS) is converted into one-dimensional (1D) SPS to reduce the computational complexity using a reduction dimension transformation. Finally, we conduct polynomial root finding to further eliminate computational costs, in which DOA and range can be rapidly estimated without performance degradation. The simulation results validate the effectiveness and superiority of the proposed RDRR-MUSIC algorithm over the conventional 2D-MUSIC algorithm and reduced-dimension (RD)-MUSIC algorithm. |
format | Article |
id | doaj-art-665bed558994491d9c41b03e90df5108 |
institution | Kabale University |
issn | 1424-8220 |
language | English |
publishDate | 2025-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj-art-665bed558994491d9c41b03e90df51082025-01-24T13:49:11ZengMDPI AGSensors1424-82202025-01-0125251310.3390/s25020513FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension RootingCheng Wang0Zhi Zheng1Wen-Qin Wang2Yangtze Delta Region Institute (Huzhou), University of Electronic Science and Technology of China, Huzhou 313002, ChinaYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou 324000, ChinaSchool of Electronic Science and Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaFrequency diversity array–multiple-input multiple-output (FDA-MIMO) radar realizes an angle- and range-dependent system model by adopting a slight frequency offset between adjacent transmitter sensors, thereby enabling potential target localization. This paper presents FDA-MIMO radar-based rapid target localization via the reduction dimension root reconstructed multiple signal classification (RDRR-MUSIC) algorithm. Firstly, we reconstruct the two-dimensional (2D)-MUSIC spatial spectrum function using the reconstructed steering vector, which involves no coupling of direction of arrival (DOA) and range. Subsequently, the 2D spectrum peaks search (SPS) is converted into one-dimensional (1D) SPS to reduce the computational complexity using a reduction dimension transformation. Finally, we conduct polynomial root finding to further eliminate computational costs, in which DOA and range can be rapidly estimated without performance degradation. The simulation results validate the effectiveness and superiority of the proposed RDRR-MUSIC algorithm over the conventional 2D-MUSIC algorithm and reduced-dimension (RD)-MUSIC algorithm.https://www.mdpi.com/1424-8220/25/2/513FDA-MIMO radarrapid target localizationspectrum reconstructionRDRR-MUSIC |
spellingShingle | Cheng Wang Zhi Zheng Wen-Qin Wang FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting Sensors FDA-MIMO radar rapid target localization spectrum reconstruction RDRR-MUSIC |
title | FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting |
title_full | FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting |
title_fullStr | FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting |
title_full_unstemmed | FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting |
title_short | FDA-MIMO Radar Rapid Target Localization via Reconstructed Reduce Dimension Rooting |
title_sort | fda mimo radar rapid target localization via reconstructed reduce dimension rooting |
topic | FDA-MIMO radar rapid target localization spectrum reconstruction RDRR-MUSIC |
url | https://www.mdpi.com/1424-8220/25/2/513 |
work_keys_str_mv | AT chengwang fdamimoradarrapidtargetlocalizationviareconstructedreducedimensionrooting AT zhizheng fdamimoradarrapidtargetlocalizationviareconstructedreducedimensionrooting AT wenqinwang fdamimoradarrapidtargetlocalizationviareconstructedreducedimensionrooting |