Direction of Arrival (DOA) Estimation Using Array Signal Processin

Array signal processing is an important eld in Signal Processing. It has various applications 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 arriving 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 algorithms 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.