IJIEEB Vol. 2, No. 2, 8 Dec. 2010
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FOA and TOA, message bit width, Multiple Dimensions Joint Maximum Likelihood Estimation, Barycenter calculation algorithm
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).
Kun Wang, Jing Tian, Siliang Wu, "A New Parameter Estimation Algorithm for Actual COSPAS-SARSAT Beacons", International Journal of Information Engineering and Electronic Business(IJIEEB), vol.2, no.2, pp.1-9, 2010. DOI:10.5815/ijieeb.2010.02.01
[1]Mo Lin, Shaobo Liu, Lina Shang, Jilin Li. “Performance analysis of the Galileo system search and rescue service in China”, Journal of Telemetry, Tracking and Command, vol. 30, no. 3, pp.2-4, May. 2009.
[2]Maqsood A, “Satellite-Aided Search and Rescue (SAR) System”. IEEE Aerospace and Electronic Systems Magazine, vol. 22, no. 8, pp. 3-8, Aug. 2007.
[3]Lewandowski A, Niehoefer B, Wietfeld C, “Galileo SAR: Performance aspects and new service capabilities”, International Journal of Satellite Communications and Networking, vol. 28, no. 6, pp. 1-8, 2010.
[4]Gomez P C, Prades C F, Rubio J A F, “Design of Local User Terminals for Search and Rescue Systems with MEO Satellites”, The Proceedings of Navitec, ESA/ESTEC, Netherlands, Dec, 2004, pp. 1-10.
[5]G Liu, B He, J.L. Li, “A new FOA estimation method in for SAR/Galileo system”, The 2nd International Conference on Space Information Technology, Wuhan, Nov, 2007, pp. 1-6.
[6]Rui Li, Jilin Li, “A FOA Estimation Approach for GALILEO SAR Signal”, Radio Engineering, vol. 37, no. 10, pp. 33-41, 2007.
[7]Granados G S, Rubio J A F, Prades C F, “ML Estimator and Hybrid Beam former for Multipath and Interference Mitigation in GNSS Receivers”, IEEE Transactions On Signal Processing, vol. 53, no. 3, pp. 1194-1208, 2005.
[8]Prades C F, Closas P, Rubio J A F, “Advanced Signal Processing Techniques in Local User Terminals for Search & Rescue Systems Based on MEO Satellites”, ION GNSS 18th International Technical Meeting of Satellite Division, Long Beach, CA, Sep, 2005, pp. 1349-1360.
[9]Prades C F, Gomez P C, Rubio J A F, “Time-frequency estimation in the cospas-sarsat system using antenna arrays: variance bounds and algorithms”, The 13th European Signal Processing Conference, Antalya, Sep, 2005, pp. 1-4.
[10]G Liu, B He, H Feng, “A novel TOA estimation algorithm for SAR/Galileo system”, IEEE International Conference on Systems, Man and Cybernetics, Suntec, Oct, 2008, pp. 3554-3557.
[11]Cospas-Sarsat Council, Specification for Cospas-Sarsat 406MHz distress beacons. [EB/OL].2007. http://www. cospas-sarsat.org /Documents/tDocs.htm.
[12]Zhihong Dong, Na Yang, Wei Cui, Xin Sun, “Design of modulation-decoding algorithm in Galileo SAR system”, Chinese Journal of Science Instrument, vol. 31, no. 8, pp.357-361, Aug, 2010.
[13]Zhihong Dong, Jian Wang, Kun Wang, Xin Sun, “Design of Signal Detection Methods in Galileo SAR System”, Transaction of Beijing Institute of Technology, vol. 30, no. 8,pp. 969-973, Aug, 2010.