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.