Simulation and Analysis of Adaptive Interference Suppression for Bistatic Surveillance Radars

摘要

The standard training approach for Space Time Adaptive Processing (STAP) works poorly, especially in cases of non-stationary interference. Bistatic clutter interference exhibits a strongly range-dependent structure. The Derivative-based Updating (DBU) algorithm has an advantage over other algorithms in that no knowledge of transmitter position and velocity are required. The disadvantages of DBU are that it doubles the STAP degrees of freedom, doubles the number of training samples required, and increases the cost of weight computation by a factor of eight. The High-Order Doppler Warning (HODW) algorithm has the advantage of not requiring an increase in degrees of freedom and of being fully adaptable in spatial dimension. The disadvantages of HODW is that it requires knowledge of transmitter position and velocity, increases the complexity of Doppler filtering, and FFT techniques may not be possible with its use. These two algorithms are assessed in Air-to-Air and Space-to-Air bistatic scenarios using covariance analysis and time series analysis.