After providing an extension of the Slepian–Bangs formula for general noncircular complex Gaussian distributions, this paper focuses on the stochastic Cramér–Rao bound (CRB) on direction-of-arrival (DOA) estimation accuracy for noncircular sources. We derive an explicit expression of the CRB for DOA parameters alone in the case of noncircular complex Gaussian sources by two different methods. O...

In this paper, we propose a DOA(Direction of Arrival) estimation of speech signal under reverberant influence. We previously proposed a method of estimating DOA for speech by exploiting the harmonic structure existing in voiced sound [1]. However this method is not always robust to reverberations that usually exist in practical indoor environments. Our new proposal aims to suppress the reverber...

In this paper direction-of-arrival estimation (DOA) of multiple narrow-band sources, based on higher-order statistics using propagator, is presented. This technique uses fourth-order cumulants of the received array data instead of second-order statistics (autocovariance) and then the so-called propagator approach is used to estimate the DOA of the sources. The propagator is a linear operator wh...

Multichannel, non-Gaussian linear processes are modeled via direct and inverse cumulant-based methods using noisy, multivariate output data . The proposed methods are theoretically insensitive to additive Gaussian noise (perhaps colored, with unknown covariance matrix), and are guaranteed to uniquely identify the system matrix within a post-multiplication by a permutation matrix . Asymptoticall...

This letter propose a new method based on covariance sparse target recovery for Direction of Departure (DOD) and Direction of Arrival (DOA) in bistatic multi -input multi-output radar. The letter use this property that the number of target in the space is low. In this paper we recover the power of incident signal as a diagonal matrix which its diagonal element are corresponding to the impinging...

Model error sensitivity is an issue common to all high resolution direction of arrival estimators. Much attention has been directed to the design of algorithms for minimum variance estimation taking only finite sample errors into account. Approaches to reduce the sensitivity due to array calibration errors have also appeared in the literature. Herein, a weighted subspace fitting method for a wi...

We present an algorithm for locating and orienting a set of acoustic arrays that have been deployed in a scene at unknown locations and orientation angles. This self-calibration problem is solved using a number of source signals also deployed in the scene. We assume each array can estimate the time-of-arrival and direction-of-arrival (with respect to the array’s local orientation coordinates) o...

A desired speech signal in hands-free communication systems is often degraded by noise and interfering speech. Even though the number and locations of the interferers are often unknown in practice, it is justified to assume in certain applications that the direction-of-arrival (DOA) of the desired source is approximately known. Using the known DOA, fixed spatial filters such as the delay-and-su...

This paper addresses the problem of extracting a time-varying signal subspace from noisy signal measurements for direction-of-arrival (DOA) estimation and tracking. A robust adaptive method for extracting the signal subspace is developed based on robust statistics. The method is more resistant to the presence of outliers than existing adaptive methods. Robust DOA estimation and tracking are ach...

In this paper, an adaptive near-far resistant detector using a multiple antennas for acquiring synchronization of an asynchronous DS-CDMA system is presented. The only requirement is the prior knowledge of the user-spreading sequence of interest. Also, there is no need of a training sequence and a training period. Synchronization acquisition of asynchronous DS-CDMA signals is treated as a binar...