Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal

Jia Wei; Fengyu Wang; Yizhe Pan; Jing Tian; Wei Cui

doi:10.1109/RadarConf2351548.2023.10149550

Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal

Jia Wei, Fengyu Wang, Yizhe Pan, Jing Tian, Wei Cui

School of Information and Electronics

Beijing Institute of Technology

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

Abstract

Random frequency and pulse repetition interval agile (RFPA) signals have excellent performance on low probability of intercept (LPI) and anti-jamming. However, due to the random characteristics of RFPA signals, their matched filter (MF) outputs suffer from high range-Doppler sidelobes, which seriously deteriorate weak targets detection performance. The iterative adaptive approach based on matched filter (MF-IAA) is proved to be effective in suppressing sidelobes, but it has a heavy computational burden. To solve these problems, we propose a fast MF-IAA method based on 2-D MF outputs within a small processing window (MF-FWIAA). The simulation results show that MF-FWIAA can effectively suppress the range-Doppler sidelobes of RFPA signals with low computational complexity.

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/RadarConf2351548.2023.10149550
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
matched filter
random frequency and pulse repetition interval agile (RFPA)
sidelobe suppression

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10.1109/RadarConf2351548.2023.10149550

Cite this

@inproceedings{1e3383c74f614a70bd119ad0e0505be3,

title = "Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal",

abstract = "Random frequency and pulse repetition interval agile (RFPA) signals have excellent performance on low probability of intercept (LPI) and anti-jamming. However, due to the random characteristics of RFPA signals, their matched filter (MF) outputs suffer from high range-Doppler sidelobes, which seriously deteriorate weak targets detection performance. The iterative adaptive approach based on matched filter (MF-IAA) is proved to be effective in suppressing sidelobes, but it has a heavy computational burden. To solve these problems, we propose a fast MF-IAA method based on 2-D MF outputs within a small processing window (MF-FWIAA). The simulation results show that MF-FWIAA can effectively suppress the range-Doppler sidelobes of RFPA signals with low computational complexity.",

keywords = "iterative adaptive approach, matched filter, random frequency and pulse repetition interval agile (RFPA), sidelobe suppression",

author = "Jia Wei and Fengyu Wang and Yizhe Pan and Jing Tian 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/RadarConf2351548.2023.10149550",

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",

}

Wei, J, Wang, F, Pan, Y, Tian, J & Cui, W 2023, Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal. 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/RadarConf2351548.2023.10149550

Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal. / Wei, Jia; Wang, Fengyu; Pan, Yizhe 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 - Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal

AU - Wei, Jia

AU - Wang, Fengyu

AU - Pan, Yizhe

AU - Tian, Jing

AU - Cui, Wei

PY - 2023

Y1 - 2023

N2 - Random frequency and pulse repetition interval agile (RFPA) signals have excellent performance on low probability of intercept (LPI) and anti-jamming. However, due to the random characteristics of RFPA signals, their matched filter (MF) outputs suffer from high range-Doppler sidelobes, which seriously deteriorate weak targets detection performance. The iterative adaptive approach based on matched filter (MF-IAA) is proved to be effective in suppressing sidelobes, but it has a heavy computational burden. To solve these problems, we propose a fast MF-IAA method based on 2-D MF outputs within a small processing window (MF-FWIAA). The simulation results show that MF-FWIAA can effectively suppress the range-Doppler sidelobes of RFPA signals with low computational complexity.

AB - Random frequency and pulse repetition interval agile (RFPA) signals have excellent performance on low probability of intercept (LPI) and anti-jamming. However, due to the random characteristics of RFPA signals, their matched filter (MF) outputs suffer from high range-Doppler sidelobes, which seriously deteriorate weak targets detection performance. The iterative adaptive approach based on matched filter (MF-IAA) is proved to be effective in suppressing sidelobes, but it has a heavy computational burden. To solve these problems, we propose a fast MF-IAA method based on 2-D MF outputs within a small processing window (MF-FWIAA). The simulation results show that MF-FWIAA can effectively suppress the range-Doppler sidelobes of RFPA signals with low computational complexity.

KW - iterative adaptive approach

KW - matched filter

KW - random frequency and pulse repetition interval agile (RFPA)

KW - sidelobe suppression

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U2 - 10.1109/RadarConf2351548.2023.10149550

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M3 - Conference contribution

AN - SCOPUS:85163770670

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 -

Fast Iterative Adaptive Approach Based on 2-D Matched Filter Outputs for RFPA Signal

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