Space-time interference suppression technology based on sub-band blind adaptive array processing

In the traditional Space-Time Adaptive Processing (STAP), adaptive algorithms require signal information so that lack real-time performance and the array processing techniques are not only of high complexity but also suffer from inadequate anti-jammer capability. In order to solve these problems, a subband blind adaptive array processing algorithm is proposed in this paper, which applies the space-time interference suppression technology to Direct Sequence Spread Spectrum (DSSS) system. For one thing, compared to the pure space-domain processing, Sub-band adaptive array (SBAA) greatly increases the freedoms of degree. For another, it also simplifies algorithm complexity relative to Tapped-delay-line adaptive array (TDLAA) structure of traditional STAP. The proposed sub-band blind adaptive array algorithm can provide higher convergence speed and better convergence accuracy with low algorithm complexity. Furthermore, the novel algorithm doesn´t need training sequences, increasing the ability of tracing signal changes in real time. Simulation results show that the novel space-time interference suppression scheme exhibits a better anti-jamming performance.