Kun Wang

Work place: Radar Technology Institute, Beijing Institute of Technology, Beijing, P. R.China

E-mail: liuyishou@bit.edu.cn

Website:

Research Interests: Engineering

Biography

Kun Wang was born in Hubei, China, in  September 1985. He received the B.Eng.  and M.Sc. degrees both in electronic  engineering from Beijing Institute of  Technology in 2006 and 2007 respectively.  In 2007, he joint Radar Technology  Institute of Beijing Institute of Technology to pursue his  Ph.D. degree. His major field is digital signal processing  technology and parameter estimation algorithm for  Galileo SAR signal.

 

Author Articles
A New Parameter Estimation Algorithm for Actual COSPAS-SARSAT Beacons

By Kun Wang Jing Tian Siliang Wu

DOI: https://doi.org/10.5815/ijieeb.2010.02.01, Pub. Date: 8 Dec. 2010

According to the high precision demand of estimating frequency of arrival (FOA) and time of arrival (TOA) in Galileo search and rescue (SAR) system, and considering the uncertainty of message bit width in actual received COSPAS-SARSAT beacons, a new FOA and TOA estimation algorithm which combines the Multiple Dimensions Joint Maximum Likelihood Estimation (MJMLE) algorithm and Barycenter calculation algorithm is proposed. The principle of the algorithm is derived and the concrete realization of the algorithm is given. Both Monte Carlo simulation and experimental results show that when CNR equals to the threshold of 34.8dBHz, root-mean-square errors (rmse) of FOA and TOA estimation in this algorithm are respectively within 0.03Hz and 9.5us, which are less than the system requirements of 0.05Hz and 11us. This algorithm has been applied to the Galileo Medium-altitude Earth Orbit Local User Terminal (MEOLUT station).

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