This dissertation discusses an investigation into methods for detection and direction finding of direct-sequence spread-spectrum signals (DSSS), appropriate for a particular DSP-based direction finding platform. Relevant details on DSSS and radio direction finding are presented. These are used as the theorectical basis for the developemtn of a software-bases simulator fo the direction finding platform, which in turn is used to develop and investigate various algorithms. The algorithms included use a least-squares model-based approach. The results of experiments run on simulated data indicate that this approach has merit for the automated detection and direction finding of DSSS signals. the least-squares algorithm applied to a single capture of power-spectrum data is shown to perform comparably with human experts.

Includes bibliographical references (leaves 77-79).