A Floating Small Target Identification Method Based on Doppler Time Series Information

Author:

Yu Hengli1,Ding Hao1,Cao Zheng1,Liu Ningbo1,Wang Guoqing1,Zhang Zhaoxiang2

Affiliation:

1. Marine Target Detection Research Group, Naval Aviation University, Yantai 246001, China

2. 92116 Troop, PLA, Huludao 125000, China

Abstract

Traditional radar detection methods heavily rely on the signal-to-clutter ratio (SCR); a variety of feature-based detection methods have been proposed, providing a new way for radar detection and the recognition of weak targets. Existing feature-based detection methods determine the presence or absence of a target based on whether the feature value is within the judgment region, generally focusing only on the distribution of features and making insufficient use of inter-feature chronological information. This paper uses the autoregressive (AR) model to model and predict the time sequence of radar echoes in the feature domain and takes the chronological information of historical frame features as the prior information to form new features for detection on this basis. A classification method for floating small targets based on the Doppler spectrum centroid sequence is proposed. By using the AR model to fit the Doppler spectrum centroid feature sequence of the target, the model coefficients are regarded as the secondary features for target identification. The measured data show that the correct classification and identification rate of this method for ship targets and floating small targets can reach over 92% by using 50 centroid features.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Reference26 articles.

1. Reweighted tensor factorization method for SAR narrowband and wideband interference mitigation using smoothing multiview tensor model;Huang;IEEE Trans. Geosci. Remote Sens.,2019

2. Enhanced Three-Dimensional Joint Domain Localized STAP for Airborne FDA-MIMO Radar Under Dense False-Target Jamming Scenario;Wen;IEEE Sens. J.,2018

3. Statistical analysis of real clutter at different range resolutions;Conte;IEEE Trans. Aerosp. Electron. Syst.,2004

4. Statistical analysis of simultaneous mo-nostatic and bistatic sea clutter at low grazing angles;Baker;IET Electron. Lett.,2011

5. Summary of research on characteristics of radar sea clutter and target detection at high grazing angles;Liu;J. Electron. Inf. Technol.,2021

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