By a News Reporter-Staff News Editor at Journal of Mathematics -- Investigators publish new report on Algorithms. According to news reporting from Beijing, People's Republic of China, by VerticalNews journalists, research stated, "Reduced-dimension space-time adaptive processing (STAP) techniques are often used in multichannel wide-area surveillance airborne systems to suppress ground clutter. However, it is well known that their performance degrades to some extent in non-homogeneous environments because of inaccurate estimation of the interference covariance matrix from secondary data."
The news correspondents obtained a quote from the research from the Chinese Academy of Science, "In this study, the authors propose an algorithm which applies Kalman filtering to suppress ground clutter based on the data model of radar echoes from multichannel wide-area surveillance systems. Since the proposed algorithm does not need to estimate the interference covariance matrix, it has a major advantage when processing the data from non-homogeneous environments. Simulated data from phased-array multifunctional imaging radar (PAMIR) system and real data from an X-band wide-area surveillance system are used to validate the proposed algorithm."
According to the news reporters, the research concluded: "The results show that the new algorithm works well in both radar systems."
For more information on this research see: Clutter suppression for multichannel wide-area surveillance systems via Kalman filtering. IET Radar Sonar and Navigation, 2013;7(3):246-254. IET Radar Sonar and Navigation can be contacted at: Inst Engineering Technology-Iet, Michael Faraday House Six Hills Way Stevenage, Hertford SG1 2AY, England.
Our news journalists report that additional information may be obtained by contacting H. Yan, Chinese Academy Sci, Grad Univ, Beijing 100039, People's Republic of China. Additional authors for this research include M.J. Zheng, R. Wang, C.G. Gao, Y.K. Deng and C.L. Wang.
Keywords for this news article include: Asia, Beijing, Algorithms, People's Republic of China
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