Abstract
The goal of this investigation is to develop a real-time, sampled-data processing technique to combat both natural and intention interferences on aeronautical radio communication and data-link channels. The particular detection technique used is Integrated Detection, Estimation, and Identification (IDEI). It is assumed that the received data is in the stationary In-phase/Quadrature (I-Q) form, resulting from a standard coherent product demodulation of the bandpass radio frequency signal. The colored interference represents a jamming signal which is a Gaussian process. A modified diagonal transition matrix is used for the generating model in order to relate to published work and to yield easier calculation of the state variance and output spectrum. The closed-form probability of error expression under imperfect identification is derived to analyze the sensitivity of detecti9on error. The analysis and results of the probability of error of the IDEI detector are presented. The Uniformly Most Powerful property of the IDEI detector is derived. In Chapter IV are presented the mathematical derivation and results for the Maximum Likelihood Identification of the stationary I-Q process. The numerical results obtained in the convergence of the ML identification and the probability of error after identification are shown. It was determined that straight-forward ML identification did not produce as good detection results as a more structural form of identification.
Yoon, Chang-June (1979). Modeling and system identification for the in-phase/quadrature process. Doctoral dissertation, Texas A&M University. Texas A&M University. Libraries. Available electronically from
https : / /hdl .handle .net /1969 .1 /DISSERTATIONS -176527.