Jasurbek Khodjaev

Dr. Jasurbek Khodjaev


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 March 2007
Verified
Conference Paper
Closed access
JKJasurbek Khodjaev
Jasurbek Khodjaev
ANAnvar Narzullaev
Anvar Narzullaev
Yongwan ParkYongwan Park
Yongwan Park
WJWooyoung Jung
Wooyoung Jung
JLJonghun Lee
Jonghun Lee
SKSangdong Kim
Sangdong Kim
The paper provides accuracy improvement of asynchronous UWB position location algorithm using multiple pulse transmission. We eliminate inter symbol interference by increasing time duration between consecutive pulses, and to reduce AWGN noise we transmitted sufficient number of pulses. At the receiver side we averaged signal over time, and performed correlation with template signal. The result shows that the accuracy of asynchronous position location algorithm improved much compare with its initial signal transmission scheme.

26 November 2011 in Annals of Telecommunications
Verified
Journal Article
Closed access
PDF file
JKJasurbek Khodjaev
Jasurbek Khodjaev
Soojung HurSoojung Hur
Soojung Hur
Yongwan ParkYongwan Park
Yongwan Park

1 January 2016 in Progress In Electromagnetics Research Letters
Verified
Journal Article
Open access
PDF file
JKJasurbek Khodjaev
Jasurbek Khodjaev
STSalvatore Tedesco
Salvatore Tedesco
BOBrendan O'Flynn
Brendan O'Flynn
A new improved Least Trimmed Squares (LTS) based algorithm for Non-line-of-sight (NLOS) error mitigation is proposed for indoor localisation systems. The conventional LTS algorithm has hard threshold to decide the final set of base stations (BSs) to be used in position calculations. When the number of Line of Sight (LOS) BSs is more than the number of NLOS BSs the conventional LTS algorithm does not include some of them in position estimation due to principle of LTS algorithm or under heavy NLOS environments it cannot separate least biased BSs to use. To improve the performance of the conventional LTS algorithm in dynamic environments we have proposed a method that selects BSs for position calculation based on ordered residuals without discarding half of the BSs. By choosing a set of BSs which have least residual errors among all combinations as a final set for position calculation, we were able to decrease the localisation error of the system in dynamic environments. We demonstrate the robustness of the new improved method based on computer simulations under realistic channel environments.