Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/2320
Authors: Gupta, Navin Kumar
Issue Date: 2012
Abstract: Ultra-Wideband communication has developed as an efficient way of providing high speed applications for short range communications. Ultra-wideband communication systems are used in indoor environments with dense multi-path characteristics. Therefore channel estimation has an important role in the receiver of these systems. Mainly two types of channel estimation techniques are addressed in this work. One of them is maximum likelihood technique and the other is least square technique. The objective of these algorithms is to fmd the approximate value of channel parameters which is required for equalization at the receiver. In one algorithm ML estimation is used for estimating the channel parameters, while the other one uses LS estimation. Performance of ML algorithm is evaluated for PPM modulation at the transmitter and for LS algorithm PAM modulation is used. Finally, performance of these two algorithms is compared in MATLAB. For the purpose of comparison PPM modulation technique is used for both the algorithms.
Other Identifiers: M.Tech
Research Supervisor/ Guide: Tyagi, Anshul
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' DISSERTATIONS (E & C)

Files in This Item:
File Description SizeFormat 
ECDG22033.pdf4.77 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.