Source Localization for Uniform Noise Maximum Likelihood Estimation Method and Iterative Algorithm Based on AOA

Abstract

maximum likelihood estimation(MLE) method and iterative algorithm based on Uniform noise ,which is the same for every sensor in the network, for localizing a source based on angle of arrival (AOA) measurements are presented. We compare MLE iterative method along with least squares estimation(LSE) approach through a number of simulations at various signal to noise levels and target to localization. We find that MLE iterative algorithm is less error and more robust to noise disturbance than LSE method.