Least-squares Estimation Techniques in Stationary Bearings-Only Target Localization

被引：0
|
作者：
Ahmadian, Arman [1 ]
Pezeshk, Amir Mansour [1 ]
机构：
[1] Sharif Univ Technol, Elect Engn, Tehran, Iran
来源：
2014 22ND IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE) | 2014年
关键词：
bearing; bias; position; path; POSITION LOCATION; PARTICLE FILTERS;
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：
A complete review of the Least Square (LS) estimation techniques, in stationary position finding using bearing measurements is presented. Equations are presented/derived in various ways to estimate the target position as well as the sensor bearing bias. Simulation results are compared in a variety of bearing random error and bias as well as different geometries to help the designer decide on an appropriate algorithm.
引用
收藏
页码：1706 / 1711
页数：6
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