Gridless SPICE Applied to Parameter Estimation of Underwater Acoustic Frequency Hopping Signals

被引:0
作者
Zhang Youwen [1 ]
Hong Xiaoping [1 ]
Wang Yonggang [1 ]
Sun Dajun [1 ]
机构
[1] Harbin Engn Univ, Coll Underwater Acoust Engn, Acoust Sci & Technol Lab, Harbin, Peoples R China
来源
2016 IEEE/OES CHINA OCEAN ACOUSTICS SYMPOSIUM (COA) | 2016年
关键词
frequency estimation; PH signal parameter estimation; Time-frequency analysis; SPICE; GLS; SPARSE;
D O I
暂无
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
The Frequency Hopping (FH) communication technique is one of classical methods of spread spectrum communication techniques, and it is widely used in terrestrial and underwater communications due to its robustness to jamming, low probability of interception and facility in communication networking. In particular, estimating and tracking the parameters of FH signals are important tasks in underwater acoustic warfare. This paper applies grid less SPICE (GLS) to the parameter estimation of underwater acoustic FH signals, mainly focused on time-frequency pattern and hop timing. As compared to the conventional spectrogram method, the time-frequency analysis method based on gridless SPICE has better frequency acquisition for the same samples. As compared to the SLR method proposed by Daniele Angelosante, this method has better performance for estimating parameters when we do not know the hopping frequency set.
引用
收藏
页数:5
相关论文
共 18 条
  • [1] On the parameter estimation of frequency components of acoustic signals
    Li, YM
    Sugahara, K
    Osaki, T
    Konishi, R
    2000 5TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS I-III, 2000, : 169 - 176
  • [2] ML-based frequency estimation and synchronization of frequency hopping signals
    Ko, CC
    Zhi, WJ
    Chin, F
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2005, 53 (02) : 403 - 410
  • [3] Parameter estimation of frequency hopping signal based on MWC-MSBL reconstruction
    Guo Yixuan
    Li Zhi
    Li Jian
    Zhou Jianhua
    IET COMMUNICATIONS, 2020, 14 (10) : 1642 - 1649
  • [4] Hopping Time Estimation of Frequency-Hopping Signals Based on HMM-Enhanced Bayesian Compressive Sensing With Missing Observations
    Wang, Hongbin
    Zhang, Bangning
    Wang, Heng
    Wu, Binbin
    Guo, Daoxing
    IEEE COMMUNICATIONS LETTERS, 2022, 26 (09) : 2180 - 2184
  • [5] A blind parameter estimation method of frequency hopping signal with low SNR
    Wang Z.
    Li Y.
    Xu W.
    International Journal of Circuits, Systems and Signal Processing, 2021, 15 : 248 - 253
  • [6] Multimodal Sparse Time-Frequency Representation for Underwater Acoustic Signals
    Miao, Yongchun
    Li, Jianghui
    Sun, Haixin
    IEEE JOURNAL OF OCEANIC ENGINEERING, 2021, 46 (02) : 642 - 653
  • [7] A Parameter Estimation Method of Frequency Hopping Signal Based On Sparse Time-frequency Method
    Wang, Yongzhi
    Lin, Yun
    Chi, Xiuwei
    2018 IEEE 23RD INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP), 2018,
  • [8] Detection and Frequency Estimation of Frequency Hopping Spread Spectrum Signals Based on Channelized Modulated Wideband Converters
    Lei, Ziwei
    Yang, Peng
    Zheng, Linhua
    ELECTRONICS, 2018, 7 (09):
  • [9] Frequency domain parameter estimation of two common frequency single-tone signals
    Radil, Tomas
    Ramos, Pedro M.
    MEASUREMENT, 2010, 43 (09) : 1228 - 1239
  • [10] Time-frequency analysis for underwater acoustic signals based on wideband beamformer outputs
    Guo Qili
    Sun Chao
    2014 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC), 2014, : 355 - 358