Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs

Zicheng Kong; Jing Tian; Chen Ning; Wei Cui

doi:10.1109/RadarConf2351548.2023.10149568

Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs

Zicheng Kong, Jing Tian, Chen Ning, Wei Cui

School of Information and Electronics

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.

Original language	English
Title of host publication	RadarConf23 - 2023 IEEE Radar Conference, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665436694
DOIs	https://doi.org/10.1109/RadarConf2351548.2023.10149568
Publication status	Published - 2023
Event	2023 IEEE Radar Conference, RadarConf23 - San Antonia, United States Duration: 1 May 2023 → 5 May 2023

Publication series

Name	Proceedings of the IEEE Radar Conference
Volume	2023-May
ISSN (Print)	1097-5764
ISSN (Electronic)	2375-5318

Conference

Conference	2023 IEEE Radar Conference, RadarConf23
Country/Territory	United States
City	San Antonia
Period	1/05/23 → 5/05/23

Keywords

Iterative adaptive approach
Keystone transform
radar
range-Doppler imaging
sidelobe suppression

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10.1109/RadarConf2351548.2023.10149568

Cite this

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title = "Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs",

abstract = "Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.",

keywords = "Iterative adaptive approach, Keystone transform, radar, range-Doppler imaging, sidelobe suppression",

author = "Zicheng Kong and Jing Tian and Chen Ning and Wei Cui",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Radar Conference, RadarConf23 ; Conference date: 01-05-2023 Through 05-05-2023",

year = "2023",

doi = "10.1109/RadarConf2351548.2023.10149568",

language = "English",

series = "Proceedings of the IEEE Radar Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "RadarConf23 - 2023 IEEE Radar Conference, Proceedings",

address = "United States",

}

Kong, Z, Tian, J, Ning, C & Cui, W 2023, Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs. in RadarConf23 - 2023 IEEE Radar Conference, Proceedings. Proceedings of the IEEE Radar Conference, vol. 2023-May, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE Radar Conference, RadarConf23, San Antonia, United States, 1/05/23. https://doi.org/10.1109/RadarConf2351548.2023.10149568

Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs. / Kong, Zicheng; Tian, Jing; Ning, Chen et al.
RadarConf23 - 2023 IEEE Radar Conference, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings of the IEEE Radar Conference; Vol. 2023-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs

AU - Kong, Zicheng

AU - Tian, Jing

AU - Ning, Chen

AU - Cui, Wei

PY - 2023

Y1 - 2023

N2 - Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.

AB - Wideband radar systems have excellent target imaging and recognition performance because of high range resolution. However, range migration occurred in long-time coherent processing and range-Doppler sidelobes may deteriorate the performance of wideband radar systems seriously, especially in multi-target scenarios. To address the two problems above, a fast iterative adaptive approach based on long-time coherent integration outputs is proposed for wideband range-Doppler imaging. The proposed algorithm first correct range migration by Keystone transform and then suppress sidelobes of targets based on the long-time coherent integration outputs within a small processing window around mainlobes. The computational complexity of the proposed method can be further reduced thanks to employing a threshold criterion and exploiting the structure of the covariance matrix. The performance of the proposed algorithm is demonstrated by numerical examples.

KW - Iterative adaptive approach

KW - Keystone transform

KW - radar

KW - range-Doppler imaging

KW - sidelobe suppression

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U2 - 10.1109/RadarConf2351548.2023.10149568

DO - 10.1109/RadarConf2351548.2023.10149568

M3 - Conference contribution

AN - SCOPUS:85163728584

T3 - Proceedings of the IEEE Radar Conference

BT - RadarConf23 - 2023 IEEE Radar Conference, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE Radar Conference, RadarConf23

Y2 - 1 May 2023 through 5 May 2023

ER -

Iterative Adaptive Approach Based on Long-time Coherent Integration Outputs

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