An Improved Beamforming Method With Compressive Sensing For Interference Suppression

The Automatic Dependence Surveillance-Broadcast (ADS-B) system is vulnerable to all kinds of interferences. Adaptive beamforming is widely used in array signal processing for enhancing a desired signal while suppressing interference and noise at the output of the antenna array while generate redundant sample data at the same time at the frequency of 1090MHz. the compressive sensing (CS) method embedded with Orthogonal Matching Pursuit (OMP) algorithm was introduced, which can reconstruct the signal with fairly low sample rate, and the Semidefinite Programming algorithm was adapted in the MVDR beamforming method which can calculate the optimal array element arrangement.