A Modulation Recognition Method for Radar Signal Based on ICPO-MD-SVM

The number of radar signal is relatively small under non-cooperative environments, which will significantly degrade the performance of traditional deep learning recognition. This paper proposes a modulation recognition method for radar signal based on ICPO-MD-SVM to address the issue. The method incorporates Minkowski distance to optimize the kernel function and improves the intelligent algorithm to optimize the SVM control parameters and select the feature output layer. Simulation results demonstrate that the proposed method exhibits excellent radar signal modulation recognition performance.

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Publication Details

Published
2024-09-22
DOI
https://doi.org/10.1109/apcap62011.2024.10881477
Primary Topic
Wireless Signal Modulation Classification
Type
article
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article

A Modulation Recognition Method for Radar Signal Based on ICPO-MD-SVM

Zikun Wang, Jingpeng Gao, Tianran Zhang, Guilin Yu
Wireless Signal Modulation Classification
article

A Modulation Recognition Method for Radar Signal Based on ICPO-MD-SVM

Zikun Wang, Jingpeng Gao, Tianran Zhang, Guilin Yu
article en

Abstract

The number of radar signal is relatively small under non-cooperative environments, which will significantly degrade the performance of traditional deep learning recognition. This paper proposes a modulation recognition method for radar signal based on ICPO-MD-SVM to address the issue. The method incorporates Minkowski distance to optimize the kernel function and improves the intelligent algorithm to optimize the SVM control parameters and select the feature output layer. Simulation results demonstrate that the proposed method exhibits excellent radar signal modulation recognition performance.

Harbin Engineering University (CN), Beijing Electronic Science and Technology Institute (CN)
Affordable and clean energy
Openalex Percentile: Top 75%
Wireless Signal Modulation Classification
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