Subspace based radar signal processing methods for array tapering and sidelobe blanking

Dinler, Doğancan
The discretization of the signal impinging on several hundreds, even thousands, of receiving elements has become a common problem in modern phased array radar systems along with the developments in the digital signal processing. The spatial and temporal processing of such large dimensional data is too challenging for all steps of signal processing. This thesis is focused on the subspace methods that making the processing of the full dimensional data feasible at reduced dimensions. The first objective of the thesis is to develop a proper subspace such that the essence of the signal coming from a predefined sector is captured at reduced dimensions. To realize that aim, eigenvector and Fourier bases of the sector are studied and evaluation of these bases are performed considering the detection and parameter estimation performances. The second objective is to apply some conventional radar signal processing methods, namely array tapering and sidelobe blanking, at reduced dimensions. The main contributions are subspace construction and reduced dimensional implementations of array tapering and sidelobe blanking. Numerical results are provided to evaluate the performance of suggested methods in different scenarios. 


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Citation Formats
D. Dinler, “Subspace based radar signal processing methods for array tapering and sidelobe blanking,” M.S. - Master of Science, Middle East Technical University, 2017.