Split spectrum processing: a new filtering approach for improved signal-to-noise ratio enhancement of ultrasonic signals

Abstract

Split spectrum processing is a frequency diversity technique used to enhance the signal-to-noise ratio of ultrasonic signals. Traditionally, many Gaussian bandpass filters are used to achieve frequency diversity. This paper introduces an alternative method of obtaining frequency diversity wherein raised-cosine bandpass filters with flat-tops are recommended for use. The reasoning behind the use of raised-cosine filters is outlined. Experimental results are provided to demonstrate the advantages of the raised-cosine filters over Gaussian filters. Finally, the limitation of the new filters is experimentally shown.