In this paper, an algorithm of direction finding is proposed in the presence of unknown mutual coupling. The preliminary direction of arrival (DOA) is estimated using the whole array for high resolution. Further refinement can then be conducted by estimating the angularly dependent coefficients (ADCs) with the subspace theory. The mutual coupling coefficients are finally determined by solving t...

In this paper, we propose an efficient geo-location system for social safety robot using a single base station, where its location is obtained by direction of arrival (DOA) and time of arrival (TOA) of the radio signal. The proposed system requires two reference signals while the conventional systems generally deploy more than three reference signals. For estimating DOA and TOA information toge...

This paper addresses the problem of direction-of-arrival (DOA) estimation of correlated and coherent signals, and two sparsityinducing methods are proposed. In the first method named L1-EVD, the signal-subspace eigenvectors are represented jointly with wellchosen hard thresholds attached to the representation residue of each eigenvector. Then only the eigenvector corresponding to the largest ei...

In sensor array signal processing especially in Radar, there is a growing interest in the estimation of a targets direction of arrival (DOA) against strong background noise or interference. Many algorithms used to estimate target DOA broadly classified as classical beam forming techniques and subspace based techniques (high resolution algorithms).In this paper a new DOA estimator is proposed ba...

This paper proposes a novel fast direction of arrival (DOA) estimation method for scenarios when uncorrelated and coherent signals exist simultaneously. First, using uniform transformation, we change complex matrix into real matrix, then, just by exploiting real propagator method (RPM), we can attain the uncorrelated signals DOA fastly. Second, based on new spatial difference technique, we can ...

A simple scheme for joint direction of arrival (DOA) and array manifold estimation for a MIMO array system is proposed, where only two transmit antennas are calibrated initially. It first obtains a set of initial DOA results by employing a rotational invariance property between two sets of received data, and then more accurate DOA and array manifold estimation is obtained through a local search...

This paper presents the use of Inverse Free Krylov Subspace Algorithm (IFKSA) with Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) for the Direction-of-Arrival (DOA) estimation under element failure in a Uniform Linear Antenna Array (ULA). Failure of a few elements results in sparse signal space. IFKSA algorithm is an iterative algorithm to find the dominant eigenva...

In this paper, we investigate localization techniques based on direction-of-arrival (DoA) measurements to estimate the position of primary users in cognitive radio networks. In the proposed approach, different multi-antenna sensors estimate the DoA of a primary signal by subspace-based techniques and the target position is estimated from the available DoA measurements using maximum-likelihood, ...

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, the direction of arrival (DOA) and polarization parameters are estimated by a uniform circular array (UCA) with several single-polarized sensors. An efficient and improved polarization MUSIC algorithm for estimating the DOA and polarization parameters is presented. This method uses information on the amplitude to reduce the computational complexity. When the source is linearly po...