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Article

An Identification Method of Corner Reflector Array Based on Mismatched Filter through Changing the Frequency Modulation Slope

by
Le Xia
,
Fulai Wang
*,†,
Chen Pang
,
Nanjun Li
,
Runlong Peng
,
Zhiyong Song
and
Yongzhen Li
The College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Remote Sens. 2024, 16(12), 2114; https://doi.org/10.3390/rs16122114
Submission received: 22 April 2024 / Revised: 6 June 2024 / Accepted: 7 June 2024 / Published: 11 June 2024
(This article belongs to the Special Issue Remote Sensing of Target Object Detection and Identification II)

Abstract

The corner reflector is an effective means of interference for radar seekers due to its high jamming intensity, wide frequency band, and combat effectiveness ratio. Properly arranging multiple corner reflectors in an array can form dilution jamming that resembles ships, substantially enhancing the interference effect. This results in a significant decline in the precision attack efficiency of radar seekers. Hence, it is critical to accurately identify corner reflector array. The common recognition methods involve extracting features on the high-resolution range profile (HRRP) and polarization domain. However, the former is constrained by the number of corner reflectors, while the latter is affected by the accuracy of polarization measurement, both of which have limited performance on the identification of corner reflector array. In terms of the evident variations in physical structures, there must be differences in their scattering characteristics. To highlight the differences, this paper proposes a new method based on the concept of mismatched filtering, which involves changing the frequency modulation slope of the chirp signal in the filter. Then, the variance of width and intervals within a specific scope are extracted as features to characterize these differences, and an identification process is designed in combination with the support vector machine. The simulation experiments demonstrate that the proposed method exhibits stable discriminative performance and can effectively combat dilution jamming. Its accuracy rate exceeds 0.86 when the signal-to-noise ratio is greater than 0 dB. Compared to the HRRP methods, the recognition accuracy of the proposed algorithm improves 15% in relation to variations in the quantity of corner reflectors.
Keywords: corner reflector array; combat dilution jamming; change the frequency modulation slope; mismatched filter; support vector machine corner reflector array; combat dilution jamming; change the frequency modulation slope; mismatched filter; support vector machine

Share and Cite

MDPI and ACS Style

Xia, L.; Wang, F.; Pang, C.; Li, N.; Peng, R.; Song, Z.; Li, Y. An Identification Method of Corner Reflector Array Based on Mismatched Filter through Changing the Frequency Modulation Slope. Remote Sens. 2024, 16, 2114. https://doi.org/10.3390/rs16122114

AMA Style

Xia L, Wang F, Pang C, Li N, Peng R, Song Z, Li Y. An Identification Method of Corner Reflector Array Based on Mismatched Filter through Changing the Frequency Modulation Slope. Remote Sensing. 2024; 16(12):2114. https://doi.org/10.3390/rs16122114

Chicago/Turabian Style

Xia, Le, Fulai Wang, Chen Pang, Nanjun Li, Runlong Peng, Zhiyong Song, and Yongzhen Li. 2024. "An Identification Method of Corner Reflector Array Based on Mismatched Filter through Changing the Frequency Modulation Slope" Remote Sensing 16, no. 12: 2114. https://doi.org/10.3390/rs16122114

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