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 Robust Positioning Algorithms for Wireless Networks. Statistical Approaches to Non-Line-of-Sight
Наименование:

Robust Positioning Algorithms for Wireless Networks. Statistical Approaches to Non-Line-of-Sight (NLOS) Mitigation

автор Ulrich H. издательство Книга по Требованию Организация здравоохранения
Cтраниц 156        мягкая обложка       
Аннотация:This work deals with the problem of determining the geographic position of a radio transmitter by exploiting signal parameters such as time-of-arrival (TOA), angle-of-arrival (AOA) or others together with the geometry of a network of receivers. This book presents several approaches to design statistical algorithms that achieve similar positioning accuracy to conventional techniques in LOS environments and do not degrade significantly when the degree of NLOS propagation increases. This phenomenon, called non-line-of-sight (NLOS) propagation, yields erroneous signal parameters and consequently high positioning errors. If direct physical connections between the transmitter and each of the receivers exist, meaning the channel is in line-of-sight (LOS), accurate position estimates can be obtained by trilateration or triangulation techniques. However, in practice obstacles such as buildings and trees reflect the signals and hinder them to arrive at the receivers via the direct path.
Автор: Ulrich H.
Издательство: Книга по Требованию
Год:2010
Цена:
3214 руб
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Поиск: Robust Positioning Algorithms for Wireless Networks. Statistical Approaches to Non-Line-of-Sight (NLOS) Mitigation
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Evaluating the GPRS Radio Interface for Different Quality of Service...

I co ras o he models developed i , our approach addi io ally represe s he mobili y of users hrough arrival ra es of ew GSM a d GPRS users as well as ha dover ra es of GSM a d GPRS users from eighbori g cells. Fur hermore, we co sider users wi h differe QoS profiles modeled by a weigh ed fair queuei g scheme accordi g o . he remai der of he paper is orga ized as follows. Sec io 2 describes he basic GPRS e work archi ec ure, he radio i erface, a d differe QoS profiles, which will be co sidered i he simula or. I Sec io 3 we describe he sof ware archi ec ure of he GPRS simula or, de ails abou he mobili y of GSM a d GPRS users, he way we modeled quali y of service profiles, a d he workload model we used. Resul s of he simula io s udies are prese ed i Sec io 4. We provide curves for average carried raffic a d packe loss probabili ies for differe cha el alloca io schemes a d packe priori ies as well as curves for average hroughpu per GPRS user.3 he Simula io Model We co sider a clus er comprisi g of sever hexadiago al cells i a i egra ed GSM/GPRS e work, servi g circui -swi ched voice a d packe -swi ched da a calls. he performa ce s udies prese ed i Sec io 4 were co duc ed for he i ermos cell of he seve cell clus er.
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