UC Riverside

Array signal processing is an important eld in Signal Processing. It has various applica-

tions in the eld of communication, radar, sonar as well as speech processing. Array signal

processing plays a crucial role when it comes to direction of arrival(DOA) estimation using

spectral analysis. The objective is to discuss the methods used to estimate the signal ar-

riving from a desired direction in the presence of noise and interfering signals. The sensor

array collects spatial samples of propagating wave elds, which are processed using dierent

spectral analysis algorithms. We discuss the array models on which direction nding algo-

rithms are based. We review the non-parametric methods and subspace-based algorithms

for DOA estimation. Non-parametric algorithms includes Conventional beamforming and

Capon's method whereas under subspace-based algorithm we discuss the MUSIC method.

We review the performance and limitations of these methods. A user interface in Labview

is used for analyzing the performance. This thesis provides an overview of Convention

beamforming method, Capon's method and the MUSIC method for DOA estimation.