An Improved Square Timing Error Detection Algorithm

被引:0
|
作者
Guo, Pengfei [1 ]
Liu, Celun [1 ]
Li, Mucheng [1 ]
Liang, Bizheng [1 ]
Li, Jianguo [1 ]
机构
[1] Beijing Inst Technol, Sch Informat & Elect, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Timing recovery; Square timing error detection algorithm; Reduce computation; INTERPOLATION; RECOVERY;
D O I
10.1007/978-981-13-6504-1_54
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Timing recovery is one of the most important issues that need to be solved for a receiver. The key of timing recovery is the extraction of timing errors. Currently, the timing recovery in the satellite communication systems cannot meet the requirement of the real-time passive intermodulation (PIM) interference suppression. It calls for the study on improved algorithm that can be applied in the satellite communication system. And the improved algorithm should have small computation and a high running speed. This paper first introduces the overall structure of the traditional square timing recovery loop, and then proposes an improved square timing error detection algorithm. By using the Goertezl algorithm, this improved algorithm optimizes the step-extracting spectral components at the symbol rate 1/T. Finally, this paper simulates and analyzes the improved algorithm, as well as parameters' influence on the performance of the algorithm. It is proved that the improved square timing error detection algorithm can greatly reduce the amount of computation under the premise of guaranteeing performance.
引用
收藏
页码:440 / 448
页数:9
相关论文
共 50 条
  • [41] Recursive inverse algorithm: Mean-square-error analysis
    Salman, Mohammad Shukri
    Kukrer, Osman
    Hocanin, Aykut
    DIGITAL SIGNAL PROCESSING, 2017, 66 : 10 - 17
  • [42] The synchronization of the images based on normalized mean square error algorithm
    Pȩksiński J.
    Mikołajczak G.
    Advances in Intelligent and Soft Computing, 2010, 80 : 15 - 25
  • [43] Synthesis of a novel timing-error detection architecture
    Su, Yu-Shih
    Chang, Po-Hsien
    Chang, Shih-Chieh
    Hwang, Tingting
    ACM TRANSACTIONS ON DESIGN AUTOMATION OF ELECTRONIC SYSTEMS, 2008, 13 (01)
  • [44] An improved genetic algorithm for sphericity error evaluation
    Wen, XL
    Song, AG
    PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS & SIGNAL PROCESSING, PROCEEDINGS, VOLS 1 AND 2, 2003, : 549 - 553
  • [45] An Improved Augmented Algorithm for Direction Error in XPNAV
    Ren, Xiaobin
    Nie, Guigen
    Li, Lianyan
    SYMMETRY-BASEL, 2020, 12 (07):
  • [46] RGB-to-RGBG conversion algorithm with adaptive weighting factors based on edge detection and minimal square error
    Huang, Chengqiang
    Yang, Youchang
    Wu, Bo
    Yu, Weize
    JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 2018, 35 (06) : 969 - 976
  • [47] A sort of new improved algorithm for total least square
    College of Engineering and Designing, Lishui College, Lishui
    Zhejiang
    323000, China
    不详
    430079, China
    不详
    430079, China
    Open Construct. Build. Technol. J., 1 (238-247):
  • [48] An Improved Method for MAD Gross Error Detection of Clock Error
    Huang B.
    Yang B.
    Li M.
    Guo Z.
    Mao J.
    Wang H.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2022, 47 (05): : 747 - 752and761
  • [49] An algorithm based error detection scheme for the multigrid algorithm
    Mishra, A
    Banerjee, P
    TWENTY-NINTH ANNUAL INTERNATIONAL SYMPOSIUM ON FAULT-TOLERANT COMPUTING, DIGEST OF PAPERS, 1999, : 12 - 19
  • [50] Improved Eccentricity Self-Detection Method Based on Least Square Algorithm for Polar Coordinate Encoder
    Zhao, Guobo
    Lei, Biao
    Ye, Guoyong
    Ban, Yaowen
    Li, Xuan
    Liu, Hui
    Liu, Hongzhong
    IEEE SENSORS JOURNAL, 2021, 21 (23) : 26902 - 26911