Adaptive Detectors for Mismatched Signal under Sea Clutter Background with Generalized Inverse Gaussian Texture

FAN Yifei; CHEN Duo; SU Jia; GUO Zixun; TAO Mingliang; WANG Ling

doi:10.11999/JEIT231440

Volume 46 Issue 9

Sep. 2024

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Article Navigation > Journal of Electronics & Information Technology > 2024 > 46(9): 3602-3610

FAN Yifei, CHEN Duo, SU Jia, GUO Zixun, TAO Mingliang, WANG Ling. Adaptive Detectors for Mismatched Signal under Sea Clutter Background with Generalized Inverse Gaussian Texture[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3602-3610. doi: 10.11999/JEIT231440

Citation:

FAN Yifei, CHEN Duo, SU Jia, GUO Zixun, TAO Mingliang, WANG Ling. Adaptive Detectors for Mismatched Signal under Sea Clutter Background with Generalized Inverse Gaussian Texture[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3602-3610. doi: 10.11999/JEIT231440

Citation:

FAN Yifei, CHEN Duo, SU Jia, GUO Zixun, TAO Mingliang, WANG Ling. Adaptive Detectors for Mismatched Signal under Sea Clutter Background with Generalized Inverse Gaussian Texture[J]. Journal of Electronics & Information Technology, 2024, 46(9): 3602-3610. doi: 10.11999/JEIT231440

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Adaptive Detectors for Mismatched Signal under Sea Clutter Background with Generalized Inverse Gaussian Texture

doi: 10.11999/JEIT231440

FAN Yifei^{1
,
,},
CHEN Duo^{1, 2},
SU Jia¹,
GUO Zixun¹,
TAO Mingliang¹,
WANG Ling¹

1.
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2.
Luoyang Institute of Electro-Optical Equipment, Aviation Industry of China, Luoyang 471000, China

Funds: The National Natural Science Foundation of China (62171379, 62301435), China Postdoctoral Science Foundation (2023M732870), The Postdoctoral Innovation Talents Support Program (BX20230497), ShangHai Aerospace Science and Technology Innovation Fund (SAST2023-044)

Received Date: 2024-01-02
Rev Recd Date: 2024-04-24

Available Online: 2024-05-15

Publish Date: 2024-09-26

Abstract

Abstract

Considering mismatched problem between theoretical steering vector and actual steering vector causes false-alarm-rate increase in the process of maritime radar detection, the adaptive mismatched detectors are studied under Compound Gaussian Model (CGM). In order to reject mismatched signal, the fictitious signal orthogonal to theoretical steering vector is introduced in the null hypothesis, and a target detection with mismatched signal is given. The texture component of CGM is represented by generalized inverse distribution, and the Adaptive Beamformer Orthogonal Rejection Test (ABORT) is developed based on two-step Generalized Likelihood Ratio Test (GLRT) and Maximum A Posteriori GLRT (MAP GLRT) criterions respectively. Both the proposed detectors are testified to have Constant False AlaRm (CFAR) characteristics for speckle covariance matrix and target doppler steering vector. Experimental results based on simulated and real measured sea clutter data indicate that the proposed mismatched detectors show preferable target detection performance under the matched steering vector condition and anti-mismatch capability under the mismatched steering vector condition.

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References(18)

References

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