Robust normalization algorithms for low-frequency active sonar signals

Abstract

Two normalization processors of active sonar signals are presented. Due to their specific design, these algorithms are particulary good candidates to normalize the data stream before applying postprocessing methods based on ping history. Their performances and their robustness against signal components in the reference cells are examined. Some recommendations about the implementation of the algorithms are derived. Results on a real data set show that they perform well.