The Least Mean Square Algorithm and Its Application in Passive Localization

被引：0
|
作者：
Zhang, Ping Chuan [1 ]
Gao, Qian [1 ]
Sen Zhang, Hang
机构：
[1] Luohe Vocat Technol Coll, Dept Machine Elect Engn, Luohe City 462002, Henan Province, Peoples R China
来源：
2011 SECOND ETP/IITA CONFERENCE ON TELECOMMUNICATION AND INFORMATION (TEIN 2011), VOL 1 | 2011年
关键词：
Localization; Least mean square; Computation amount; Math optimization;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The traditional normalization algorithm was used for passive localization, but it is with many defects such as large amount of computation, etc.. This paper proposed a linear least mean square method for the solution and built a mathematical model. The analysis shows that the new method has many advantages in many respects, small computation amount, high localization precision, and high computation speed, so it can satisfy the need of passive localization, which may be useful for other similar application systems.
引用
收藏
页码：88 / 90
页数：3
相关论文
共 50 条
  • [41] Kernel least mean square algorithm with constrained growth
    Pokharel, Puskal P.
    Liu, Weifeng
    Principe, Jose C.
    SIGNAL PROCESSING, 2009, 89 (03) : 257 - 265
  • [42] Constrained Least Mean Square Algorithm with Coefficient Reusing
    Valmir S. Nogueira Junior
    Michel P. Tcheou
    Maurício H. C. Dias
    Diego B. Haddad
    Circuits, Systems, and Signal Processing, 2021, 40 : 5705 - 5717
  • [43] Reweighted nonnegative least-mean-square algorithm
    Chen, Jie
    Richard, Cedric
    Bermudez, Jose Carlos M.
    SIGNAL PROCESSING, 2016, 128 : 131 - 141
  • [44] Adaptive Filtering based on Least Mean Square Algorithm
    Sireesha, N.
    Chithra, K.
    Sudhakar, Tata
    2013 OCEAN ELECTRONICS (SYMPOL), 2013, : 42 - 48
  • [45] A recursive data least square algorithm and its channel equalization application
    Lim, Jun-Seok
    Kim, Jea-Soo
    Sung, Koeng-Mo
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2007, E90B (08) : 2143 - 2146
  • [46] A theoretical result of least-mean-square algorithm
    Wu Xiaojun
    Wang Shitong
    Zheng Yujie
    Yu Dongjun
    Yang Jingyu
    2005 INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE AND TECHNOLOGY, PROCEEDINGS, 2005, : 333 - 337
  • [47] Kernel Least Mean Square Algorithm With Mixed Kernel
    Sun, Qitang
    Dang, Lujuan
    Wang, Wanli
    Wang, Shiyuan
    PROCEEDINGS OF 2018 TENTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2018, : 140 - 144
  • [48] Diffusion-Probabilistic Least Mean Square Algorithm
    Guan, Sihai
    Meng, Chun
    Biswal, Bharat
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2021, 40 (03) : 1295 - 1313
  • [49] TRACKING CAPABILITY OF THE LEAST MEAN-SQUARE ALGORITHM - APPLICATION TO AN ASYNCHRONOUS ECHO CANCELER
    MARCOS, S
    MACCHI, O
    IEEE TRANSACTIONS ON ACOUSTICS SPEECH AND SIGNAL PROCESSING, 1987, 35 (11): : 1570 - 1578
  • [50] Diffusion Leaky Zero Attracting Least Mean Square Algorithm and Its Performance Analysis
    Shi, Long
    Zhao, Haiquan
    IEEE ACCESS, 2018, 6 : 56911 - 56923
12345