For direction of arrival (DOA) estimation in the threshold region, it has been shown that use of Random Matrix Theory (RMT) eigensubspace estimates provides significant improvement in MUSIC performance. Here we investigate whether these RMT methods can also improve the threshold performance of unconditional (stochastic) maximum likelihood DOA estimation (MLE).

High sidelobe level and direction of arrival (DOA) estimation sensitivity are two major disadvantages of the Capon beamforming. To deal with these problems, this paper gives an overview of a series of robust Capon beamforming methods via shaping beam pattern, including sparse Capon beamforming, weighted sparse Capon beamforming, mixed norm based Capon beamforming, total variation minimization b...

Two-dimensional (2D) direction-of-arrival (DOA) estimation has played an important role in array signal processing. In this article, we address a problem of bind 2D-DOA estimation with L-shaped array. This article links the 2D-DOA estimation problem to the trilinear model. To exploit this link, we derive a trilinear decomposition-based 2D-DOA estimation algorithm in L-shaped array. Without spec...

This paper investigates the possibility estimating the direction of arrival (DOA) in a system identification perspective. The system is modeled as an autoregressive (AR) process and extended Kalman filter (EKF) is used to estimate the DOA, which forms a state of the augmented state vector of the EKF. The states generate the signals at a linearly phased array. Simulation results demonstrate the ...

A novel algorithm for the joint estimation of the Direction Of Departure (DOD)-Direction Of Arrival (DOA) and Doppler frequency for bistatic multiple-input multiple-output (MIMO) radar is proposed. The proposed algorithm uses the rotational factor produced by the time delay of sampling to construct an angle matrix by fully utilizing the properties of the auto-covariance and cross-covariance mat...

Direction of Arrival Estimation and Tracking with Sparse Arrays Jian-Feng Gu, Ph.D. Concordia University, 2013 Direction of Arrival (DOA) estimation and tracking of a plane wave or multiple plane waves impinging on an array of sensors from noisy data are two of the most important tasks in array signal processing, which have attracted tremendous research interest over the past several decades. I...

In order to solve the problem of poor real-time performance, low accuracy and high computational complexity in the traditional process of locating and tracking of Direction of Arrival (DOA) of moving targets, this paper proposes a DOA algorithm based on the Direction Lock Loop (DILL) which adopts Lock Loop structure to realize the estimation and location of DOA and can adjust the direction auto...

The popular ESPRIT algorithm provides a computationally eficient approach for direction of arrival (DOA) estimation in situations where the sensor array is composed of two identical translated subarrays. One of the key advantages of ESPRIT is that the subarrays need not be calibrated in order to obtain the DOA estimates. In this paper, the problem of DOA estimation using sensor arrays composed ...

This paper address the joint direction-of-arrival (DOA) and time delay (TD) estimation problem, which is a key technique for accurate indoor localization in next generation WiFi and 5G networks. We propose an efficient approximate maximum likelihood (AML) algorithm for this problem, which updates the DOA and TD parameters alternatingly. Then, we present closed-form Cramer-Rao bound (CRB) for jo...

Monopulse is a classical radar technique [1] of precise direction finding of a source or target. The concept can be used both in radar applications as well as in modern communication techniques. The information contained in antenna sidelobes normally disturbs the determination of DOA in the case of a classical monopulse system. The suitable combination of amplitudeand phase-monopulse algorithm ...