R. DeLap Dept of EENG Air Force Institute of Technology Wright-Patterson AFB, OH 45433 A. Hero Dept of EECS The University of Michigan Ann Arbor, MI 48109 ABSTRACT In this paper we develop an adaptive beamsummer for direction of arrival (DOA) estimation of slow fading Raleigh signals, using a new design approach, termed \Adaptive Detection/Estimation for sPeci c Tasks" (ADEPT). For DOA estimati...

This paper presents an initialization scheme for a constant modulus algorithm (CMA) adaptive antenna. With the proposed scheme, the direction of arrival (DOA) of signals is estimated by using nonconventional least square optimization. The antenna steering vector associated with the estimated DOA is used as an initial weight vector for CMA. Simulations were conducted to evaluate the performance ...

This paper presents an efficient sparse representation approach to direction-of-arrival (DOA) estimation using uniform linear arrays. The proposed approach constructs the jointly sparse model in real domain by exploiting the properties of centro-Hermitian matrices. Subsequently, DOA estimation is realized via the sparse Bayesian learning (SBL) algorithm. Further, the pruning threshold of SBL is...

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...

Joint estimation of carrier frequency and direction of arrival (DOA) for multiple signals has been found in many practical applications such as Cognitive Radio (CR). However, Nyquist sampling mechanism is costly or implemented due to wide spectrum range. Taking advantage of sub-Nyquist sampling technology, some array receiver architectures are proposed to realize joint estimation of carrier fre...

Many direction-of-arrival (DOA) estimation algorithms for acoustic sources based on sensor array measurements have been well developed and verified via computer simulations and/or small-scale water trough experiments. However, these results are not in practical use because the testing scenarios may not reflect real underwater environments. In order to have a better understanding of DOA estimati...

An array antenna system with innovative signal processing can enhance the resolution of a signal direction of arrival (DOA) estimation. The performance of DOA using estimation signal parameter via a rotational invariant technique is investigated in this paper. The DOA angles are derived from the auto-correlation and cross-correlation matrices. Three matrix estimation methods, (1) temporal avera...

In recent years, deep learning approaches have gained significant interest as a way of building hierarchical representations from unlabeled data. Additionally, in the field of sound direction-of-arrival (DOA) estimation, the binaural features like interaural time or phase difference and interaural level difference, or monaural cues like spectral peaks and notches are often used to estimate soun...

We consider the estimation of two-dimensional (azimuth and elevation) direction-of-arrival (DOA) using a pair of uniform circular arrays under a coherently distributed source model. Since the coherently distributed source is characterized by four parameters, the nominal azimuth DOA, angular extension of the azimuth DOA, nominal elevation DOA, and angular extension of the elevation DOA, the comp...

Adaptive antenna arrays are widely used in wireless communication and radar. The understanding of array design and optimization often needs sophisticated signal processing methods to estimate the Degree of Arrival (DoA). DoA estimation algorithms often require numerical analysis. We propose an educational tool that can be utilized for adaptive antenna array simulation and DoA estimation. There ...