چکیده مقاله
Space time adaptive processing STAP refers to the extension of adaptive antenna techniques has been increasingly applied to suppress interference signals clutter and jamming However, the sea clutter mainly limits the target detection for high frequency surface wave radars HFSWRs Because the interference is unknown a priori, it must be estimated adaptively from the finite amount of data comprising the coherent processing interval CPI In this paper, we applied multi model shrinkage estimator for knowledge aided STAP for real sea clutter data gathered by a HFSWR It offers to estimate the clutter covariance from training data The performance of this approach was studiedwith KASSPER I data set and simulation before We evaluate the performance of it as ROC curve It results the number of pulses and training data for operation in the sea environment with HFSWRs
کلیدواژهها
نویسندگان
M Nezamabadi
Islamic Azad University, Tehran, Iran
M. R. Moniri
Islamic Azad University, Tehran, Iran
شیوه ارجاع
Nezamabadi, M and Moniri, M. R.,1398,Multi-Model Shrinkage for Knowledge STAP in High Frequency Surface-wave Radars,Sixth National Congress on Electrical Engineering and Computer Engineering of Iran with a New Approach to New Energy,Tehran
ارائهشده در
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