Inter-Symbol Interference Mitigation Using Adaptive Dataset Selection in the Parzen Window Method

Abstract

We propose a detection method based on the Parzen window method to mitigate inter-symbol interference. This method selects a trained dataset based on the neighboring symbols, following a decision feedback approach. Simulation results show the proposed method achieved a 3.3 dB improvement in the Q value for a QPSK signal degraded by inter-symbol interference.