Identification of Pseudo-random Sequences in DS/SS Intercepts by Higher-order Statistics
Final rept. 7 Jun 2001-7 Jun 2002
CRANFIELD UNIV (UNITED KINGDOM) ROYAL MILITARY COLLEGE OF SCIENCE
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This report results from a contract tasking Cranfield University RMCS as follows The contractor will investigate discriminant functions for known m-sequences and develop higher-order statistical methods to identify Gold codes in intercepts. The contractor will then assess the robustness of a detection to realistic channel effects that would occur for airborne RF signals.
- Statistics and Probability