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
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