Catalog Description: This course focuses on problems, algorithms,and solutions for processing signals received by an array of sensors. Signal processing systems are developed which take advantage of the space-time nature of the received signals. Applications include communication systems and radar. The class is designed as an advanced digital signal processing course in which students are assumed to be familiar with fundamental concepts of digital signal processing.

Prerequisites: ECEN 3300, Linear Systems; ECEN 3810, Introduction to Probability, and ECEN 5632, Digital Signal Processing

Textbook:

Array Signal Processing:

References:

Student Edition of MATLAB Reference Manual,

Adaptive Signal Processing

Goals: To understand the theoretical foundations of adaptive signal processing theory and to be able to apply it to combined space-time processing of signals received by an array of sensors.

Topics:

Signals in space and time.
Apertures and arrays.
Beamforming.
Detection theory.
Estimation theory.
Adaptive array processing.
Tracking.

Computer Usage:

Most homework assignments include computer questions. Students may use any language of their choice to solve these problems, but the solutions will be presented using MATLAB. Example problems presented in class will also use MATLAB.

Laboratory Projects:

None.

ABET Category Content:

Engineering Science: 1.5 credits or 50%

Engineering Design: 1.5 credits or 50%