Efficient search strategy for coarse synchronization of UWB signals without channel knowledge

Author(s):  
Eva Arias-de-Reyna ◽  
Jose Acha-catalina
2018 ◽  
Vol 14 (6) ◽  
pp. 155014771878237
Author(s):  
Wenbiao Tian ◽  
Guosheng Rui ◽  
Daoguang Dong ◽  
Jian Kang

This article introduces a new algorithm that constructs an efficient search strategy, called parallel search, for blind adaptive Karhunen–Loéve transform. Unlike anterior Karhunen–Loéve transform, the proposed algorithm converges quickly by searching for solutions in different directions simultaneously. Moreover, the process is “blind,” which means that minimal information about the original data is used. The new algorithm also avoids repeating the Karhunen–Loéve transform basis learning step in data compression applications. Numerical simulation results verify the validity of the theory and illustrate the capability of the proposed algorithm.


Author(s):  
PETER CUCKA ◽  
NATHAN S. NETANYAHU ◽  
AZRIEL ROSENFELD

A robotic agent operating in an unknown and complex environment may employ a search strategy of some kind to perform a navigational task such as reaching a given goal. In the process of performing the task, the agent can attempt to discover characteristics of its environment that enable it to choose a more efficient search strategy for that environment. If the agent is able to do this, we can say that it has "learned to navigate" — i.e., to improve its navigational performance. This paper describes how an agent can learn to improve its goal-finding performance in a class of discrete spaces, represented by graphs embedded in the plane. We compare several basic search strategies on two different classes of "random" graphs and show how information collected during the traversal of a graph can be used to classify the graph, thus allowing the agent to choose the search strategy best suited for that graph.


2004 ◽  
Vol 21 (3) ◽  
pp. 338-348 ◽  
Author(s):  
L. Ferrarini ◽  
L. Bertelli ◽  
J. Feala ◽  
A. D. McCulloch ◽  
G. Paternostro

2010 ◽  
Vol 28 (2) ◽  
pp. 126-146 ◽  
Author(s):  
Theo A. Arentze ◽  
Aloys W. J. Borgers ◽  
Harry J. P. Timmermans

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