Siliang Wu

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

E-mail: liuyishou@bit.edu.cn

Website:

Research Interests: Computational Engineering, Engineering

Biography

Siliang Wu was born in Anhui, China, in  August 1964. He received the Ph.D.  degree from Harbin Institute of  Technology, China in 1995. His major  fields are theory and technology on signal  processing, target detection and  identification, and electronic system  simulation and signal imitation.  He started his postdoctoral research in Radar  Technology Institute in Beijing Institute of Technology,  China in 1996. He was the Director of the State Key  Laboratory of Signal Acquisition and Processing in 2002.  In the same year, he became the member of the Precision  Guidance Team of General Equipment Department. Now  he is the Vice Director of Radar Technology Institute of  Beijing Institute of Technology and the chief professor of  Signal and Processing Subject. He has published over 200  refereed journal and conference papers in the areas of  signal and processing. 

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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