Abstract
This paper consists of four inter-related topics on the application of signal processing and pattern recognition to underwater acoustics. Part I is on pattern recognition processing for target motion analysis. The three-dimensional target motion analysis (TMA) in a multipath environment with bearing and multipath delay information has been examined and the extended Kalman filter was used to estimate the target parameters for localization and tracking of a moving underwater target. In this paper, pattern recognition is considered in the context of TMA. Two approaches are examined. The first approach uses the classification method and the pattern matching idea to identify the target location, without employing the conventional optimal filtering. The second approach uses the extended Kalman filtering but with initial parameters determined by the classification method. The simulation results clearly demonstrate a major improvement in the TMA capability via pattern-recognition processing.
Part II is on time dealy estimation from the generalized correlator. The performance improvement available from using the Hassab-Boucher window is closely examined for both known and unknown signals in white or colored noise. Part III is on the parameter estimation of a moving source observed from a linear array. Three simulation examples are presented that use time delays directly in the extended Kalman filter to obtain the localization and motion solutions. Part IV is on multipath ranging pattern recognition. The fundamental issues on this relatively unexplored area are examined. The results presented in this paper clearly illustrate that the study of underwater acoustics can benefit considerably from the rapid progress in signal processing and pattern recognition.
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© 1983 Springer-Verlag Berlin Heidelberg
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Chen, C.H. (1983). Application of Signal Processing and Pattern Recognition to Underwater Acoustics. In: Chen, C.H. (eds) Issues in Acoustic Signal — Image Processing and Recognition. NATO ASI Series, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82002-1_2
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DOI: https://doi.org/10.1007/978-3-642-82002-1_2
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