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Investigation and Simulation of Nonlinear Processors for Spread Spectrum Receivers. Volume 1
Final rept. Feb 1992-Aug 1993
ILLINOIS INST OF TECH CHICAGO DEPT OF ELECTRICAL AND COMPUTER ENGINEERING
Pagination or Media Count:
The objective of the recent research effort was to investigate and determine the viability of utilizing Locally Optimal LO nonlinear processing to mitigate non-Gaussian interfering signals in a Direct Sequence DS SS communications system. The effort centered on the use of memoryless techniques, as well as techniques employing memory, and performance comparisons of many receiver and nonlinear processor configurations. The approach used included the analysis and evaluation of several implementation of the various nonlinear processing algorithms. The analysis included the study of well known techniques, as well as newly developed methods. Evaluation was accomplished through the development of software simulations designed to test the algorithms in various signaling scenarios. The results illustrate the tradeoffs of each nonlinear processor algorithm for use in a spread spectrum receiver. This knowledge can be used to determine the most effective processor for a given interference scenario. The work presented in this report is directly in line with the mission of Rome Laboratory RL to provide secure, reliable communications to the United States Air Force. Adaptive Filtering, Nonlinear Processing, Spread Spectrum
APPROVED FOR PUBLIC RELEASE