Title : 
Locally most powerful invariant tests for signal detection
         
        
            Author : 
Ramprashad, S.A. ; Parks, T.W.
         
        
            Author_Institution : 
Bell Labs., Murray Hill, NJ, USA
         
        
        
        
        
            fDate : 
5/1/1998 12:00:00 AM
         
        
        
        
            Abstract : 
Locally most powerful tests and invariant tests are combined in a new detector to test for the presence of a signal in additive white Gaussian noise. Such tests, locally most powerful invariant (LMPI) tests, are defined using a number of orthogonal linear subspaces, and the second-order signal statistics in each subspace
         
        
            Keywords : 
Gaussian noise; signal detection; statistical analysis; white noise; AWGN; SNR; additive white Gaussian noise; invariant signal characteristics; locally most powerful invariant tests; orthogonal linear subspaces; second-order signal statistics; signal detection; signal mismatch; Additive noise; Detectors; Signal design; Signal detection; Signal to noise ratio; Sonar; Statistical analysis; Statistics; Testing; Training data;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on