Detection and Correction of Sampling-Time-Errors in an N-Channel Time-Interleaved ADC using Genetic Algorithm

摘要

This paper presents an algorithm to estimate and correct time errors introduced in an N channel time interleaved analog to digital converter (TIADC) network. Sampling time errors are common in TIADCs due to improper switching. Reconstruction of a signal is severely affected by these errors. The proposed algorithm rectifies this problem and faithful reconstruction of the signal from the sampled version is achieved. The estimated errors are fed to the fractional delay filters in all the sampling paths to compensate the sampling-time offsets. Genetic Algorithm is used to detect the errors and fractional delay filters are used to correct these sampling time errors. Simulations are done with sinusoidal and speech signals. Quality of the reproduced signal is represented using Signal to Noise Ratio (SNR). Performance of the proposed algorithm is compared with the existing algorithms available in the literature and superiority of the proposed algorithm is demonstrated.