A Spatial Sparse Method for Mobile Localization of Multiple Co-Channel Transmitters

2020 ◽  
Vol 9 (9) ◽  
pp. 1408-1411
Author(s):  
Nan Xia ◽  
Bo Li ◽  
Jue Wang
Keyword(s):  
Mobile Localization

scholarly journals Mobile localization in complex indoor environment based on ZigBee wireless network

2019 ◽  
Vol 1314 ◽  
pp. 012214
Author(s):  
Zhu Wang ◽  
Miaomiao Liu ◽  
Yongsheng Zhang
Keyword(s):  
Wireless Network ◽  
Indoor Environment ◽  
Mobile Localization

scholarly journals Indoor Mobile Localization in Wireless Sensor Network under Unknown NLOS Errors

2013 ◽  
Vol 9 (2) ◽  
pp. 208904 ◽  
Author(s):  
Long Cheng ◽  
Hao Wu ◽  
Chengdong Wu ◽  
Yunzhou Zhang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Mobile Localization

scholarly journals An Indoor Mobile Localization Strategy for Robot in NLOS Environment

2013 ◽  
Vol 9 (1) ◽  
pp. 758749 ◽  
Author(s):  
Yan Wang ◽  
Yuanwei Jing ◽  
Zixi Jia
Keyword(s):  
Mobile Localization ◽  
Localization Strategy

Augmenting Mobile Localization with Activities and Common Sense Knowledge

2011 ◽  
pp. 72-81
Author(s):  
Nicola Bicocchi ◽  
Gabriella Castelli ◽  
Marco Mamei ◽  
Franco Zambonelli
Keyword(s):  
Common Sense ◽  
Mobile Localization ◽  
Common Sense Knowledge

Underwater Localization Techniques

2021 ◽  
pp. 45-66
Author(s):  
Manisha Bharti ◽  
Poonam Rani Verma
Keyword(s):  
Water Environment ◽  
Underwater Acoustic Communication ◽  
Hybrid Technique ◽  
Sink Node ◽  
Sound Waves ◽  
Localization Algorithm ◽  
Anchor Node ◽  
Mobile Localization ◽  
Unknown Node ◽  
Underwater Localization

Underwater acoustic communication uses sound waves to trans-receive information, diving deep inside water, environment scanning, undersea explorations, disaster prevention, etc. In this chapter, an attempt has been made to cover stationary and mobile localization algorithm. They are further subdivided into distributed and centralized. Each one is further subcategorized into estimation-based and prediction-based schemes. The category therefore extends on the basis of ranging method, communication, and synchronization, some of which are area localization, sensor-based localization, forming a sensor array, motion-aware self-localization, silent localization. Each one will be discussed in detail in this chapter. At last, hybrid technique is also discussed, which combines stationary and mobile techniques. The discussion includes various nodes including anchor node, unknown node, sink node, and reference node. Various methods to follow the techniques are also discussed, which include anchor-based method, ranging method, and message communication.

scholarly journals TDOA-Based Mobile Localization Using Particle Filter With Multiple Motion and Channel Models

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 21057-21066 ◽  
Author(s):  
Nan Xia ◽  
Mary Ann Weitnauer
Keyword(s):  
Particle Filter ◽  
Channel Models ◽  
Mobile Localization

Real-Time Ground-Plane Based Mobile Localization Using Depth Camera in Real Scenarios

2015 ◽  
Vol 80 (3-4) ◽  
pp. 525-536 ◽  
Author(s):  
Miguel Vaz ◽  
Rodrigo Ventura
Keyword(s):  
Real Time ◽  
Ground Plane ◽  
Depth Camera ◽  
Mobile Localization

Global and Quadrantal Kernel Information for Mobile Localization

2005 ◽  
Author(s):  
Q. Wan ◽  
W.L. Yang ◽  
M.H. Wang ◽  
Y.N. Peng
Keyword(s):  
Mobile Localization
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