Performance analysis of New Adaptive Equalizer Based Pseudo Affine Projection Algorithm

This paper presents a performance analysis of the decision feed forward equalizer (DFE) based on the proposed pseudo affine projection (PAP) algorithm. The DFE, combined with adaptive algorithms, is employed to mitigate inter symbol interference (ISI) during signal transmission. Its performance is evaluated through simulations using two distinct criteria: constellation diagram and the mean square error (MSE) criterion. The study investigates the impact of key parameters such the input signal-to-noise ratio (SNR), projection order, adaptation step size, and filter length, on MSE convergence. Simulations are conducted using 32-PSK, 16-PSK and 16-QAM modulation schemes. The results demonstrate the effectiveness of the DFE-PAP algorithm for digital equalization. The proposed approach achieves excellent ISI suppression and significant improvements in MSE convergence for all tested parameters. Furthermore, the DFE-PAP outperforms the normalized least mean square (NLMS) DFE algorithm, exhibiting faster and more stable MSE convergence.