2012
DOI: 10.3844/ajassp.2012.505.509
|View full text |Cite
|
Sign up to set email alerts
|

Symbol Timing Estimation in Multiband Orthogonal Frequency Division Multiplexing based Ultrawide band System

Abstract: Problem statement: The Multiband Orthogonal Frequency Division Multiplexing (MB-OFDM) Based Ultra Wideband system (UWB) is highly susceptible to symbol timing error. Symbol timing estimation in MB-OFDM based UWB is difficult due to the presence of strongest path at delayed instant. Approach: Symbol timing estimation has two steps namely a coarse estimation and a fine estimation. In this study, a maximum likelihood framework for the fine timing estimation is proposed. It utilizes the delay embedde… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Year Published

2012
2012
2015
2015

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 10 publications
0
3
0
Order By: Relevance
“…Because of the algorithm's recursive nature, it can run in real time using only the present input measurements and the previously calculated state; no additional past information is required (Nasseri and Bakhshi, 2010). From a theoretical standpoint, the main assumption of the Kalman filter is that the underlying system is a linear dynamical system and that all error terms and measurements have a Gaussian distribution (Schafhuber et al, 2003;Suresh et al, 2012).…”
Section: Kalman Filtering Algorithmmentioning
confidence: 99%
“…Because of the algorithm's recursive nature, it can run in real time using only the present input measurements and the previously calculated state; no additional past information is required (Nasseri and Bakhshi, 2010). From a theoretical standpoint, the main assumption of the Kalman filter is that the underlying system is a linear dynamical system and that all error terms and measurements have a Gaussian distribution (Schafhuber et al, 2003;Suresh et al, 2012).…”
Section: Kalman Filtering Algorithmmentioning
confidence: 99%
“…In February 2002, the Federal Communication Committee (FCC) approved the First Report and Order (R and O) for commercial use of UWB technology under strict power emission limits for various devices. The UWB signals must have an average power spectral density not more than -41 dBm/MHz in the 3.1-10.6 GHz band and a bandwidth greater than 500 MHz or fractional bandwidth larger than 20 percent at all times of transmission (Kim et al, 2010;Suresh et al, 2012). Since FCC force stringent power-emission limitations at the transmitter and due to the additional transmission path loss, the received UWB signal exhibits very low Power Spectral Density (PSD) at the receiver antenna.…”
Section: Introductionmentioning
confidence: 99%
“…Kumaran et al (2013) analyzed the performance of OFDM based bidirectional relay network which employs Physical Layer Network Coding (PLNC) in the presence of phase noise. Suresh et al (2012) proposed a novel method to estimate fine symbol timing error for MB-OFDM based UWB system which will be suitable for MB-OFDM receivers for UWB positioning and UWB communication.…”
Section: Introductionmentioning
confidence: 99%