Direction of Arrival Algorithms for Mobile User Detection

Smart antennas involve processing of signals induced on an array of sensors such as antennas, microphones, and hydrophones. They have applications in the areas of Radar, Sonar, Medical Imaging and Mobile Communication. Smart antennas have the property of spatial filtering, which makes it possible to receive energy from a particular direction while simultaneously block energy from other direction. This property makes smart antennas a very effective tool in detecting, locating sources and finally forming the main beam in the look direction and nulls in the interfering signal directions. In this work, we studied the performance of various direction of arrival (DOA) algorithms for direction estimation of incoming source signals. Namely, Maximum Likelihood Method (MLM), Maximum Eigen Value (MEV) Method, Bartlett method, Multiple Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational invariant technique (ESPRIT) for detecting single and multiple mobile user. All the methods are simulated using MATLAB simulation software. The simulation results clearly show that the subspace methods outperform the classical methods.