A REDUCED RANK STAP AND STAGGERED PRF FOR MULTIPLE TARGETSITUATIONS

In this paper, we first present the principles of STAP and discuss the properties of optimum detector, as well as problems associated with estimating the adaptive weights such as ambiguities and the high computational cost. The performances are evaluated highlighting the influence of radar parameters on the detection of slow targets. To resolve problem of high computational cost of optimal STAP, reduced-rank methods are used. And to resolve Doppler ambiguities, staggering of PRF is used. The simulation results are presented and the performances of STAP are discussed. In addition, the effect of an interfering target is analyzed. The performances of detection are discussed using two parameters: power and direction of the interfering target. Numerical evaluation is based on two models of staggering PRF: quadratic and pseudorandom, with two methods for reducing rank: Principal Components and SINR metric. It was shown that the primary target is completely masked if the interfering target is powerful and this for any direction of the second target. It was also proven as when this one is located according to particular directions of the jammers, detection is largely degraded. To cure these problems, one considered an analysis of the staggered PRF of the STAP with the two methods which showed their effectiveness.