Title : 
Parametric separation applied to underwater acoustic multipath propagation
         
        
        
            Author_Institution : 
ENSIEG, CNRS, St. Martin d´´Heres, France
         
        
        
        
        
            Abstract : 
The authors focus on wave parameter estimation. They present a new method using a sliding spatial window along the antenna to improve the performance of parameter estimation and to estimate the shape of the wavefronts. First, ther recall the method which uses a maximum likelihood estimator (MLE) applied on broadband signals. The second part is devoted to applications on real data where the signal to be studied is obtained from a single moving hydrophone measuring the spatial properties of the acoustic multipath propagation
         
        
            Keywords : 
acoustic signal processing; acoustic wave propagation; array signal processing; maximum likelihood estimation; underwater sound; broadband signals; maximum likelihood estimator; ocean; parameter estimation; parametric separation; sliding spatial window; spatial properties; underwater acoustic multipath propagation; wavefront shape; Acoustic measurements; Acoustic propagation; Acoustic sensors; Additive noise; Antennas and propagation; Frequency; Maximum likelihood estimation; Parameter estimation; Sensor arrays; Underwater acoustics;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
         
        
            Conference_Location : 
Adelaide, SA
         
        
        
            Print_ISBN : 
0-7803-1775-0
         
        
        
            DOI : 
10.1109/ICASSP.1994.389666