Quantization and Compensation in Sampled Interleaved Multi-Channel Systems

Abstract

This paper considers the environment of interleaved, multi-channel measurements as arises for example in time-interleaved A/D converters and in distributed sensor networks. Such systems take the form of either uniform or recurrent nonuniform sampling, depending on the timing offset between the channels. Quantization in each channel results in an effective overall signal to noise ratio in the reconstructed output which is dependent on the quantizer step sizes, the timing offsets between the channels and the oversampling ratio. Appropriate choice of these parameters together with the design of appropriate compensation filtering is discussed.