①(School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China) ②(Gannan Normal University, Ganzhou 341000, China)
Abstract：Multistage Wiener filter is currently one of the reduced rank space-time adaptive processing algorithms with the fastest convergent speed, but it is only suitable for stationary stochastic signal, so it is not able to directly suppress non-homogeneous clutter of airborne conformal array radar. Based on the characteristic analysis of conformal array radar clutter, a spatial filter in elevation is proposed to overcome the non-homogeneity of the clutter, the traditional covariance matrix taper algorithm is improved and finally a novel algorithm of suppressing clutter of airborne conformal array radar, named spatial filter in Elevation-based New Covariance Matrix Taper MultiStage Wiener Filter algorithm (ENCMT-MSWF) is constructed. Simulation results show that the proposed method has better performance in suppression of conformal array radar clutter than other existing methods, and it has the advantages of small amount of computation and fast convergence speed. It is easy to be realized in engineering and has practical application prospects in conformal array radar clutter suppression.
2014, Vol. 36 
