Abstract:

In the condition of conformal array, the minimum variance spectrum with sampling matrix inversion (SMI) extends much, which has an influence on the target detection. So the method of using the gain spectrum to analyze is proposed. In the method, the gain weight is used to process the clutter, that is, the element gain is contained in the gain weight to match the actual clutter better. The effects of the central angle and element mainlobe width on eigenvalue, the minimum variance spectrum and the gain spectrum of the clutter are mainly analyzed on the basis of this method. Important suggestions are provided for the structure selection of the conformal array for clutter suppression. The simulation results indicate that a larger mainlobe width makes the minimum variance spectrum extend smaller and a bigger central angle makes the gain spectrum get better performance. Besides, for the case of clutter in main lobe, the gain weight can be used to effectively improve the performance of the target detection. When the central angle is large, the gain weight can evidently get a better processing result than the traditional SMI.