Pulsed Active Sonar Using Generalized Sinusoidal Frequency Modulation for High-Speed Underwater Target Detection and Tracking

被引:0
|
作者
Park, Jinuk [1 ]
Kim, Geunhwan [2 ]
Seok, Jongwon [3 ]
Hong, Jungpyo [3 ]
机构
[1] Changwon Natl Univ, Ind Technol Inst, Chang Won 51524, South Korea
[2] Sejong Univ, Dept Ocean Syst Engn, Seoul 05006, South Korea
[3] Changwon Natl Univ, Informat & Commun Engn, Chang Won 51524, South Korea
来源
IEEE ACCESS | 2023年 / 11卷
关键词
High-speed networks; High-speed underwater target; GSFM; pulsed active sonar; target detection and tracking; WAVE-FORM;
D O I
10.1109/ACCESS.2023.3344290
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For decades, the soft-kill strategy which detects high-speed underwater targets with passive sonar and attract the targets using decoys has been used. However, recently, the paradigm to respond to the high-speed underwater targets is shifting to a hard-kill method that directly intercepts the targets. Therefore, an active sonar detection and tracking technique is required to estimate the exact location of the target. Existing detection and tracking techniques using active sonar divide pulses either temporally or along the frequency axis, transmitting pulses in various directions within a pulse repetition interval. This division, however, leads to a reduction in the time-bandwidth product, consequently diminishing detection performance. Therefore, this paper proposes a generalized sinusoidal frequency modulation (GSFM)-based pulsed active sonar (PAS). The proposed PAS-GSFM employs short pulses for a quick update of target estimates, but the orthogonality between pulses of GSFM allows pulses to maximize bandwidth, thus high detection performance can be expected. Two types of simulations were performed to verify the performance of the proposed PAS-GSFM. First, the performance comparison with PAS-linear frequency modulation (LFM), and second, the comparison between the proposed method and continuous active sonar (CAS)-GSFM. Through the evaluation, the superiority of the proposed method over PAS-LFM and competitiveness compared to CAS-GSFM were proved.
引用
收藏
页码:143081 / 143091
页数:11
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