Adaptive Mismatched Filter Design for Radar Pulse Compression

Abstract

Adaptive Pulse Compression (APC) techniques for target detection differ from their mismatched filtering techniques based counterparts in their improved ability to detect the target efficiently. In order to further improve the target detection capability, an attempt has been made to design a novel pulse compression model, named Adaptive Mismatched Filter (AMMF). The AMMF consists of a linear network of fixed weights followed by an adaptive linear network. An adaptive algorithm based on Minimum Mean-Square Error (MMSE) has been suggested to estimate the weight coefficients of the adaptive network. The performance analysis of the new adaptive model has been carried out using an extensive simulation study. The detection efficiency of the proposed scheme, in terms of Peak Signal-to-sidelobe Ratio (PSR), Integrated Sidelobe Ratio (ISLR) and Average Target Power Prediction Accuracy (ATPPA), has been compared with that obtained using other existing APC techniques. The simulation study reveals the enhanced detection ability of the proposed AMMF