Adaptive Weight Vector Solving Based on the Summation of Partial Eigenbeams in STAP

Abstract

For the side-looking airborne or spaceborne early warning radar, Space-time adaptive processing (STAP) is a well-established technique. The adaptive weight vector can be written in the form of summation that equivalents to the inversion of covariance matrix. In order to reduce the computational complexity of the adaptive weight vector, this paper proposes a modified calculation method based on the weighted sum of partial eigenbeams according to the array model of the radar system. Both the loss of signal-to-interference and noise ratio (LSINR) and adapted patterns are used as performance metrics. Computer simulations verified the effectiveness of the method and its adaptability in traditional full-dimension, fixed-structure reduced dimension STAP.