Overview

Included in degrees & certificates

• 290
• 535

Prerequisites

• EC3400
• EC3410
• EC3500
• EO3402

Learning Outcomes

• Given the spectral characteristics of the sensor signal under consideration, the student will able to determine the far field and near field regions. 
• Given the option to choose an amplitude window, the student will be able to select an appropriate amplitude window among rectangular, triangular, cosine, Hanning, Hamming, and Blackman windows.
• The student will be able to to determine and compute beamwidth at an arbitrary beam-steer angle and apply beamsteering and aperture focusing functions for a given array geometry.
• The student will be able to analyze and solve simple problems in space-time filtering and the spatial Fourtier transform operations.
• Given the array geometry, the student will be able to determine the beam patters for linear, planar and volumetric arrays.
• The student will be able to determine directivity and directivity index and the source level of a directional source for a given array geometry.
• The student will be able to discuss the issues related to adaptive array signal processing methods and compare the performance to that of the fixed array processing.
• The student will be able to design and simulate LMS and RLS adaptive algorithms.
• The student will be able to discuss subspace array signal processing principles and explain the MUSIC and ESPRIT algorithms.
• The student will be able to formulate signal detection as a hypothesis testing problem and compute the probability of detection for a given false alarm probability and the signal to interference ratio.
• The student will be able to determine array gain for linear, plana, and volumetric arrays.