DocumentCode
2755940
Title
Modified GML algorithm with simulated annealing for estimation of signal arrival time
Author
Wann, Chin-Der ; Chang, Lun-Kai
Author_Institution
Nat. Sun Yat-Sen Univ., Kaohsiung
fYear
2007
fDate
Oct. 30 2007-Nov. 2 2007
Firstpage
1
Lastpage
4
Abstract
A modified generalized maximum-likelihood (GML) algorithm with simulated annealing for estimating the signal arrival time is presented. In a multipath environment, the GML algorithm can be used for the time-of-arrival (TOA) estimation; nevertheless, the GML algorithm usually takes up a long period of processing time, and sometimes fails to converge. To mitigate the effects from dense multipath interference and to reduce the computational complexity of the algorithm, methods of threshold settings based on the minimum root mean square error (RMSE) criteria are discussed. Instead of performing a full-scale search of adequate threshold settings, the simulated annealing process is adopted for finding the best pair of thresholds for use in the modified GML algorithm. Simulation results show that in the line-of-sight (LOS) short-range propagation environment, the proposed scheme achieves better performance than other statistical schemes in terms of the root mean square error of signal arrival time.
Keywords
least mean squares methods; maximum likelihood estimation; simulated annealing; time-of-arrival estimation; computational complexity; dense multipath interference; generalized maximum-likelihood algorithm; line-of-sight short-range propagation environment; root mean square error; signal arrival time estimation; simulated annealing; time-of-arrival estimation; Computational complexity; Computational modeling; Delay; Interference; Maximum likelihood estimation; OFDM; Root mean square; Signal resolution; Simulated annealing; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2007 - 2007 IEEE Region 10 Conference
Conference_Location
Taipei
Print_ISBN
978-1-4244-1272-3
Electronic_ISBN
978-1-4244-1272-3
Type
conf
DOI
10.1109/TENCON.2007.4429105
Filename
4429105
Link To Document