An estimation method of source location of undesired electromagnetic wave from electronic devices by using the MUSIC algorithm is proposed. The MUSIC algorithm can estimate the direction of arrival accurately, however, the estimation error is large in the case of short range multiple coherent sources. In order to overcome this problem, a method to improve the estimation accuracy is presented. E...

We have seen that there is a one-to-one relationship between the direction of a signal and the associated received steering vector. It should therefore be possible to invert the relationship and estimate the direction of a signal from the received signals. An antenna array therefore should be able to provide for direction of arrival estimation. We have also seen that there is a Fourier relation...

Array Signal Processing (ASP) is a relatively new technique in Digital Signal Processing (DSP) with many potential applications in communication and speech processing. Direction of arrival (DOA) can be estimated using different techniques evolved with ASP. It is observed that subspace method provides superior performance in resolving closely spaced sources.

..........................................................................................................................xiv STATISTICAL ERROR ANALYSIS OF A DOA ESTIMATOR FOR A PCL SYSTEM USING THE CRAMER-RAO BOUND THEOREM.................................... 1 1 . INTRODUCTION........................................................................................................ 1 1.1 Backgrou...

In our real time experimental analysis the acoustic sensor estimates the specific target (elephant) coverage localization at 3 different types of forests. The proposed method consists of estimating Direction of Arrival Estimation using partial hyperbolic circular array and also identified few external factors affecting outdoor propagation and acoustic source localization in forest. We already i...

In this paper, an array aperture extension algorithm is developed for two-dimensional (2-D) direction-of-arrival (DOA) estimation with L-shaped array. We enlarge the dimension of the covariance matrix by using the rotational invariance in conjunction with the property that the signal covariance matrix is real diagonal matrix. Estimation of DOAs is performed by processing this larger dimensional...

This paper addresses asymptotically (in the number of measurements) minimum variance (AMV) estimators within the class of estimators based on a mixture of real and complexvalued sequence of statistics whose first covariance of its asymptotic distribution is singular. Thanks to two conditions, we extend the standard AMV estimator. We prove that these conditions are satisfied for the estimates of...

In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sensor setup. Since the assumed linear support of the ordinary Laplacian distribution is not valid to model angular quantities, such as the Direction of Arrival to the set of sensors, the authors investigate the performan...

| A simple general formula is derived under a Gaussian model for the asymptotic covariance of direction-of-arrival (DOA) estimators based on the covariance of the sensor array data. It is then established that the same formula remains valid for a wide class of statistical models for source signals. Hence, under mild assumptions, the asymp-totic performance of most high-resolution covariance-bas...