Posterior Cramer-Rao lower bound for wireless sensor localisation networks

被引：9
|
作者：
Li, Siming [1 ]
Lv, Jing [1 ]
Tian, Shiwei [1 ,2 ]
机构：
[1] Army Engn Univ, Key Lab Satellite Commun, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China
来源：
ELECTRONICS LETTERS | 2018年 / 54卷 / 22期
基金：
中国国家自然科学基金;
关键词：
sensor placement; wireless sensor networks; target tracking; indoor radio; Bayes methods; posterior Cramer-Rao; wireless sensor localisation networks; general closed expression; PCRLB; Bayesian estimation; dynamic systems; localisation algorithm design; anchor layout; wireless sensor systems; position information indoors; satellite positioning; fundamental lower limit; localisation algorithms; GEOLOCATION;
D O I：
10.1049/el.2018.6456
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 general closed expression of posterior Cramer-Rao lower bound (PCRLB) for wireless sensor networks is derived and presented, based on Bayesian estimation and well suited to dynamic systems. The aim is to guide the localisation algorithm design and anchor layout fulfilling certain accuracy requirement. There is a growing need for wireless sensor systems to determine the position information indoors and in somewhere satellite positioning cannot provide service. PCRLB sets a fundamental lower limit to all kinds of localisation algorithms within consideration of dynamic state transition. This result shows that the theoretically best position solution can be obtained.
引用
收藏
页码：1296 / 1297
页数：2
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