Date of Award

Fall 1994

Document Type

Thesis

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

Alexander Haimovich

Second Advisor

Nirwan Ansari

Third Advisor

Zoran Siveski

Abstract

This work deals with the adaptive correlation of a direct sequence spread spectrum signal in the presence of narrow-band, multipath and multiple user interference. The Least Mean Square and Recursive Least Square algorithms are employed for the adaptive convergence of the correlator receiver to minimize the mean squared error.

The performance of the adaptive correlator is compared with the matched filter correlator receiver and the conventional prediction filter for the suppression of narrow-band interference by calculating the bit error probability rate. The adaptive correlator is also compared with the RAKE receiver for multipath suppression and compared to the decorelating detector for the suppression of multiple user interference. It is shown that the adaptive correlator is capable of suppressing interference when the spread spectrum signal is corrupted by a combination of disturbances, such as narrow-band jammers and multipath or multiple users on the same channel.

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