A Joint Rapid Parameter Estimate Method of Frequency-Hopping Signals

被引：3
|
作者：
Liang Zhongjie [1 ]
Lv Ming [1 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Dept Informat & Engn, Chengdu 610054, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND COMMUNICATION TECHNOLOGY (ICCECT 2012) | 2012年
关键词：
Frequency-hopping signal; Parameter estimation; FFT; Multi-windows iterative SPWVD;
D O I：
10.1109/ICCECT.2012.85
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new joint rapid method is presented, based on fast Fourier transformation (FFT) and multi-windows iterative smoothed pseudo Wigner-Ville distribution (SPWVD) to estimate parameters of frequency-hopping (FH) signals. Firstly, the approximate range including hop timing is searched by segmented FFT, then the both ends of the data segments by multi-windows iterative SPWVD, combining with statistics about the ends to obtain more accurate estimation of the parameters. This method can be easily implemented with lower computation complexity, and making real-time estimation possible. Simulation results show that the method can more rapidly and accurately estimate parameters of FH signals in the low SNR.
引用
收藏
页码：952 / 954
页数：3
相关论文
共 50 条
  • [41] Compressive Detection of Multiple Frequency-Hopping Spread Spectrum Signals
    Liu, Feng
    Marcellin, Michael W.
    Goodman, Nathan A.
    Bilgin, Ali
    2014 DATA COMPRESSION CONFERENCE (DCC 2014), 2014, : 415 - 415
  • [42] INTERFERENCE EFFECTS OF PSEUDO-RANDOM FREQUENCY-HOPPING SIGNALS
    COHEN, SA
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 1971, AES7 (02) : 279 - &
  • [43] Detection of weak astronomical signals with frequency-hopping interference suppression
    Liu, Shengheng
    Zhang, Yimin D.
    Shan, Tao
    DIGITAL SIGNAL PROCESSING, 2018, 72 : 1 - 8
  • [44] The Wigner-Ville distribution analysis of frequency-hopping signals
    Liu, G
    Yang, SM
    Ren, W
    PROCEEDINGS OF THE 2004 CHINA-JAPAN JOINT MEETING ON MICROWAVES, 2004, : 355 - 358
  • [45] TDOA-Based Direct Geolocation of Frequency-Hopping Signals
    Ouyang X.-X.
    Wan Q.
    Cao J.-M.
    Xiong J.-Y.
    2017, Chinese Institute of Electronics (45): : 820 - 825
  • [46] Detection of Frequency-Hopping Signals Based on Deep Neural Networks
    Li, Ziye
    Liu, Ruifang
    Lin, Xuming
    Shi, Hang
    2018 IEEE 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION AND INFORMATION SYSTEMS (ICCIS), 2018, : 49 - 52
  • [47] Detection of Fast Frequency-Hopping Signals Using Dirty Template in the Frequency Domain
    Lee, Kyung-Gyu
    Oh, Seong-Jun
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2019, 8 (01) : 281 - 284
  • [48] Blind separation of frequency-hopping signals based on time-frequency distribution
    Feng T.
    Yuan C.-W.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2010, 32 (05): : 900 - 903
  • [49] Coherent and non-coherent integration TDOA/FDOA estimation method of frequency-hopping signals
    Ouyang X.
    Yao S.
    Yang Y.
    He Q.
    Wan Q.
    Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics, 2021, 43 (05): : 1184 - 1190
  • [50] A Digital Predistortion Method for Fast Frequency-Hopping Systems
    Pan, Wensheng
    Xie, Lanfeng
    Xia, Xiangjie
    Shi, Chengzhe
    Ye, Yufeng
    Cui, Peizhang
    Liu, Ying
    Tang, Youxi
    2019 IEEE 19TH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND INFORMATION TECHNOLOGY (ISSPIT 2019), 2019,
12345