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