Wireless Location

Abstract

This article provides an overview of wireless location technologies, methods and applications.

An Improved Scout Wireless Localization Algorithm

“…Compared with 8 nodes are equipped to meet the minimum requirement of the traditional scout algorithm, the improved algorithm needs four card readers only, which has significantly lowered the cost. Nodes distributions of both scout algorithm and improved scout algorithm are illustrated in 3 ; is determined by the mean value of . RSSI values can be substitute into probabilistic formula (1.2) -(1.4) to estimate probability.…”

“…DV-Hop algorithm, APIT algorithm, centroid algorithm are range-free algorithms, their advantage is low hardware requirement, but their accuracies are too low to meet the requirement of indoor scenarios. RSSI, TOA, TDOA and AOA are typical distance measuring methods [1][2] [3]. Among them, the RSSI is the most prevalent method, because it has low hardware requirement and many wireless communication modules have built-in RSSI readers.…”

Basis Expansion Adaptive Filters for Time-Varying System Identification

“…However, the tracking performance of all these block algorithms We show by simulations that our proposed BE-LMS is able to track ple stochastic gradient type of algorithms, lead by the least mean the system time variation better than the NLMS, while maintaining squares (LMS) family, to more elaborated algorithms like those begood convergence properties in case of overlapping blocks. To even longing to the recursive least squares (RLS) class [1,2,3].…”

“…However, the tracking performance of all these block algorithms We show by simulations that our proposed BE-LMS is able to track ple stochastic gradient type of algorithms, lead by the least mean the system time variation better than the NLMS, while maintaining squares (LMS) family, to more elaborated algorithms like those begood convergence properties in case of overlapping blocks. To even longing to the recursive least squares (RLS) class [1,2,3].further improve the tracking capabilities, we also propose another A common feature of most of these algorithms is that they have BEM-based adaptive algorithm that has a nice connection with the been initially derived assuming a time-invariant system model. In matrix generalization of the momentum LMS (MLMS) algorithm case of a time-varying model, adaptive algorithms like LMS try to [14].…”

A Look Into the 4G Crystal Ball

“…This has boosted the research in the field of wireless location as an important public safety feature, which can also add many other potential applications to the future cellular systems [12].…”