Development of the Average Likelihood Function for Code Division Multiple Access (CDMA) Using BPSK and QPSK Symbols.

摘要

This interim report summarizes the most relevant findings during the first year of research on the effort titled Average Likelihood Methods for Classification of CDMA. The goal of the research is to present the development of several analytical form of the average likelihood for CDMA using combinations of BPSK and QPSK symbols. In a previous report, the case of CDMA using a BPSK code matrix and a BPSK data vector was studied and published in Technical Report AFRL-RI-RS-TR-2014-093. In this report, the average likelihood for different CDMA transmission models will be developed using similar definitions and propositions. Decision theoretic methods based on average likelihood are the only methods that guarantee the best classification in noise according to the classical Detection Theory. Currently there is a lack of average likelihood methods for CDMA. This research has the purpose to establish a foundation for new classification and estimation of CDMA signals.