Digital-Analog Hybrid Equalization of Broadband Signals Based on Equivalent Time Sampling

As the symbol rate gradually increases, inter-symbol interference becomes more serious. High-performance and low-resource equalization technology has become one of the research hotspots in the signal processing area. In this paper, for channel with constant characteristics, a digital-analog hybrid equalizer of broadband signals based on equivalent time sampling is proposed. The equivalent time sampling technology can reconstruct signals at a sampling rate much lower than the Nyquist sampling rate, thus, it can greatly alleviate the pressure on the ADC and reduce the processor's resource consumption. In addition, the dual-mode blind equalization algorithm can achieve fast convergence and accurately compensate for errors caused by non-ideal channel. Moreover, the numerical results show that the performance of the dual-mode multi-modulus algorithm and decision-directed algorithm (MMA-DD) is better than the multi-modulus algorithm (MMA) which can further reduce the residual error to accurately track the channel characteristics.