Enhanced underwater target tracking using innovative spectral denoising method

被引:0
|
作者
Osman [1 ]
Noureldin, Abdalla [1 ]
Aboelmagd [1 ]
Korenberg [2 ]
Michael [2 ]
机构
[1] Royal Mil Coll Canada, Dept Elect & Comp Engn, Kingston, ON, Canada
[2] Queens Univ, Dept Elect & Comp Engn, Kingston, ON, Canada
关键词
underwater target tracking; signal denoising; array processing; DOA; FOS; FAST ORTHOGONAL SEARCH; RESOLUTION; NOISE;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
This paper explores the application of an innovative spectral denoisng method to improve underwater target tracking capabilities and the bearing estimation accuracy using uniform linear array of passive sonobuoys. Direction of arrival (DOA) estimation using the denoised array data is attained via Bartlett beam forming which is widely employed in underwater target tracking systems. The proposed technique is tested for simulated single and multiple source detection at relatively low signal to noise ratios. Results are presented to illustrate the improvement in bearing estimation using the proposed technique.
引用
收藏
页数:3
相关论文
共 50 条
  • [41] Measure of nonlinearity for underwater target tracking using hull-mounted sensor
    Jagan, B. Omkar Lakshmi
    Rao, S. Koteswara
    INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2022, 15 (03) : 333 - 344
  • [42] Performance enhancement of target tracking for an underwater vehicle using synthetic sensor technique
    Kim, JH
    Hur, JS
    Lee, HR
    Kim, DS
    No, II
    Kim, KM
    OCEANS 2001 MTS/IEEE: AN OCEAN ODYSSEY, VOLS 1-4, CONFERENCE PROCEEDINGS, 2001, : 1693 - 1696
  • [43] Underwater Target Tracking with Vector Sensor Array Using Acoustic Field Measurements
    Nagananda, K. G.
    Anand, G. V.
    OCEANS 2017 - ABERDEEN, 2017,
  • [44] Target Tracking using an Autonomous Underwater Vehicle: A Moving Path Following Approach
    Jain, R. Praveen
    Aguiar, A. Pedro
    de Sousa, Joao Borges
    2018 IEEE/OES AUTONOMOUS UNDERWATER VEHICLE WORKSHOP (AUV), 2018,
  • [45] Non-cooperative target tracking method based on underwater acoustic sensor networks
    Yuhua Qin
    Haoran Liu
    Rongrong Yin
    Shiwei Zhao
    Mingru Dong
    The Journal of Supercomputing, 2023, 79 : 19227 - 19253
  • [46] Underwater Target Tracking Based on the Feature-Aided GM-PHD Method
    Tian, Yiwei
    Liu, Meiqin
    Zhang, Senlin
    Zheng, Ronghao
    Dong, Shanling
    Liu, Zhunga
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 73 : 1 - 12
  • [47] A deep Q network assisted method for underwater gliders standoff tracking to the static target
    Zang, Wenchuan
    Yao, Peng
    Lv, Kunling
    Song, Dalei
    NEURAL COMPUTING & APPLICATIONS, 2022, 34 (23): : 20575 - 20587
  • [48] Underwater Bearing-only Passive Target Tracking Method Based on Area of Uncertainty
    Li H.
    Nie Z.
    Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2024, 46 (01): : 109 - 117
  • [49] Research on an Underwater Target-Tracking Method Based on Zernike Moment Feature Matching
    Gao, Wenhan
    Zhou, Shanmin
    Liu, Shuo
    Wang, Tao
    Zhang, Bingbing
    Xia, Tian
    Cai, Yong
    Leng, Jianxing
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 11 (08)
  • [50] Study on Underwater Target Tracking Technology Based on an LSTM-Kalman Filtering Method
    Wang, Maofa
    Xu, Chuzhen
    Zhou, Chuanping
    Gong, Youping
    Qiu, Baochun
    APPLIED SCIENCES-BASEL, 2022, 12 (10):