A jitter separation and BER estimation method for asymmetric total jitter distributions

This paper proposes a fast-Fourier-transform-based jitter separation and model-based bit-error-rate (BER) curve estimation technique for analyzing asymmetric total jitter distributions. The proposed method assumes asymmetric deterministic jitter models which have distributions denoted by even and odd functions. It separates deterministic jitter and random jitter by identifying the model parameters from the measured total jitter histogram, and estimates BER-curves based on the models. Experimental results show that the proposed method can analyze jitter and BER-curves more accurately than existing methods. The advantages and limitations of the proposed method are also discussed.