Title : 
Mean-square correlation of shift-register sequences
         
        
        
            Author_Institution : 
University of Illinois, Coordinated Science Laboratory, Urbana, USA
         
        
        
        
        
            fDate : 
4/1/1984 12:00:00 AM
         
        
        
        
            Abstract : 
The mean value and the mean-square value of various correlation parameters of linear feedback shift-register sequences are obtained and compared with the corresponding parameters for random sequences. The mean-square correlation parameters for maximal-length shift-register sequences, i.e. pseudonoise or pseudorandom sequences, are considerably better than those for random sequences. The mean-square correlation parameters for Gold sequences are found to be the same as those for random sequences. Thus, performance obtained with shift-register sequences is at least as good as the performance obtained with random coding.
         
        
            Keywords : 
correlation theory; encoding; feedback; random processes; Gold sequences; correlation parameters; linear feedback; mean value; mean-square value; pseudonoise; pseudorandom sequences; random coding; random sequences; shift-register sequences;
         
        
        
            Journal_Title : 
Communications, Radar and Signal Processing, IEE Proceedings F
         
        
        
        
        
            DOI : 
10.1049/ip-f-1.1984.0018