Adaptive filtering in polarization domain with the criterion of LCMV

The radar targets can be detected by polarization information when they are difficult to be distinguished from clutter or interference environment by information derived from time and frequency and spatial domains. The traditional methods of polarization filtering are not suitable for the detection of targets in an environment containing strong jams because the Signal to Interference Ratio (SIR) is usually every small and the polarization state of the jam is unknown or distributed continuously. This paper proposes a novel algorithm of adaptive polarization filtering based on the principle of Linear Constraint Minimum Variance (LCMV), which achieves the optimal receive of signal by adopting the variable polarization of antenna. For the realization of algorithm and the adaptive fast varying interference, a recursion polarization filtering algorithm is given which can adapt the polarization states of the jam at sampling speed. Simulations are shown and results are in good agreement with theoretical analysis.