Rate Efficient Codes Correcting a Burst of Deletions or Insertions

被引:0
|
作者
Yi, Chen [1 ,2 ]
Han, Xuesong [3 ]
Li, Yong [3 ]
Zhou, Jihua [2 ]
He, Jiguang [4 ]
Li, Chunguo [5 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
[2] Aerosp New Generat Commun Co Ltd, Chongqing 401332, Peoples R China
[3] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China
[4] Technol Innovat Inst, Abu Dhabi, U Arab Emirates
[5] Southeast Univ, Sch Informat Sci & Engn, Nanjing 210096, Peoples R China
关键词
Codes; Symbols; Receivers; Vectors; Termination of employment; Synchronization; Decoding; Binary marker code; Varshamov-Tenengol'ts (VT) code; burst deletions/insertions; maximum distance separable (MDS) code;
D O I
10.1109/LCOMM.2024.3391172
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this letter, we construct two rate efficient codes of length n named as marker-MDS and marker-SVT codes which correct a burst of deletions/insertions of length b (error-free decoding), where b is not necessarily fixed as a constant but is proportional to n , i.e., b = tn , 0 < t < 1 . Both of these two codes consist of binary marker codes which are employed to locate the burst of deletions/insertions. Also, the marker-MDS and marker-SVT codes consist of the maximum distance separable (MDS) codes and shifted Varshamov-Tenengol'ts (SVT) codes, respectively, which are responsible for correcting erasures caused in the synchronization stage. Both the theoretical and simulation results verify that the constructed marker-MDS and marker-SVT codes provide the higher code rate than the existing run-length limited Varshamov-Tenengol'ts shifted Varshamov-Tenengol'ts (RLLVT-SVT) codes if n is not smaller than a lower bound f(t) which is determined by t .
引用
收藏
页码:1253 / 1257
页数:5
相关论文
共 50 条
  • [41] EASILY DECODED, EFFICIENT, BURST ERROR CORRECTING BLOCK CODES
    MANDELBAUM, D
    INFORMATION AND CONTROL, 1973, 23 (03): : 234 - 244
  • [42] Multi-Permutation Codes Correcting a Single Burst Unstable Deletions in Flash Memory
    Han, Hui
    Mu, Jianjun
    He, Yu-Cheng
    Jiao, Xiaopeng
    Ma, Wenping
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (04) : 720 - 724
  • [43] Improved Constructions of Permutation and Multi-Permutation Codes Correcting a Burst of Stable Deletions
    Sun, Yubo
    Zhang, Yiwei
    Ge, Gennian
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2023, 69 (07) : 4429 - 4441
  • [44] Decoding on the Modified Pruning Trellis for Correcting Insertions/Deletions
    Liu, Yuan
    Xing, Ruiqing
    Zhao, Xiaonan
    COMMUNICATIONS, SIGNAL PROCESSING, AND SYSTEMS, 2019, 463 : 1840 - 1847
  • [45] Optimal Codes Correcting Localized Deletions
    Bitar, Rawad
    Hanna, Serge Kas
    Polyanskii, Nikita
    Vorobyev, Ilya
    2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 1991 - 1996
  • [46] Guess & Check Codes for Deletions, Insertions, and Synchronization
    Hanna, Serge Kas
    El Rouayheb, Salim
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2019, 65 (01) : 3 - 15
  • [47] On linear and cyclic codes for correcting deletions
    Abdel-Ghaffar, Khaled A. S.
    Ferreira, Hendrik C.
    Cheng, Ling
    2007 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY PROCEEDINGS, VOLS 1-7, 2007, : 851 - +
  • [48] Polar Codes for Channels with Insertions, Deletions, and Substitutions
    Pfister, Henry D.
    Tal, Ido
    2021 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT), 2021, : 2554 - 2559
  • [49] Multilayer Codes for Synchronization From Deletions and Insertions
    Abroshan, Mahed
    Venkataramanan, Ramji
    Guillen i Fabregas, Albert
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2021, 67 (06) : 3342 - 3359
  • [50] Convolutional codes for channels with substitutions, insertions, and deletions
    Mansour, MF
    Tewfik, AH
    GLOBECOM'02: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-3, CONFERENCE RECORDS: THE WORLD CONVERGES, 2002, : 1051 - 1055