Aperture extension (interferometry baseline extension) is achieved in this novel ESPRIT-based two-dimensional (2-D) arrival angle estimation scheme using a sparse (a.k.a., thin or thinned) uniform rectangular array of electromagnetic vector sensors spaced much farther apart than a half-wavelength. An electromagnetic vector sensor is composed of six spatially co-located, orthogonally oriented, d...

In this paper, we discuss a number of high-resolution direction finding methods for determining the two-dimensional directions of arrival of a number of plane waves, impinging on a sensor array. The array consists of triplets of sensors that are identical, as an extension of the 1D ESPRIT scenario to two dimensions. New algorithms are devised that yield the correct parameter pairs while avoidin...

Direction finder, an important component of electronic warfare system, is a device that detects electromagnetic waves radiated from target radar and measures its angle of arrival. Compared to the phase-comparison method, the amplitudecomparison method has simpler system, and it’s easy to miniaturize; however, relatively, its direction finding is less accurate, and it has various factors that oc...

A novel scheme is proposed for direction finding with uniform rectangular planar array. First, the characteristics of noncircular signals and Euler's formula are exploited to construct a new real-valued rectangular array data. Then, the rotational invariance relations for real-valued signal space are depicted in a new way. Finally the real-valued propagator method is utilized to estimate the pa...

This paper describes generalizations of the MUSIC and root-MUSIC algorithms for direction of arrival (DOA) estimation to arrays composed of multiple translated subarrays. The advantage of these new approaches is that the DOAs can be estimated using either a one-dimensional search or by rooting a polynomial, as opposed to a multidimensional search as required by the Multiple Invariance (MI)-ESPR...

In this paper we present an alternative to the Gaussian and Cauchy distributions for modeling stochastic signals. The proposed model has the same impulsiveness as the Cauchy density, but it is derived as a sub-Gaussian process, i.e., a variance mixture of Gaussian random variables. We proceed to use the derived model in the problem of signal parameter estimation through the use of multisensor d...

The stochastic Cramér-Rao bound (CRB) plays an important role in array processing because several high-resolution direction-ofarrival (DOA) estimation methods are known to achieve this bound asymptotically. In this paper, we study the stochastic CRB on DOA estimation accuracy in the general case of arbitrary unknown noise field parametrized by a vector of unknowns. We derive explicit closed-for...

In this paper, we propose a new algorithm of enhancing covariance matrix estimate to be used for estimating the directions-of-arrival (DOAs) of multiple incoherent signals incident on a uniform circular array. The underlying covariance matrix possesses a special theoretical property such as having spatial stationarity. The proposed enhancement approach based on the use of this property is found...

A low-complexity joint 2D-DOD and 2D-DOA estimation algorithm for MIMO radar with arbitrary arrays Chen Chen a & Xiaofei Zhang a b c a College of Electronic and Information Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing, China, 210016 b Nanjing Panda Electronics Group, Nanjing, China, 210002 c Key Laboratory of Underwater Acoustic Communication and Marine Information Tec...

In this paper, we propose a novel system to localize a sound source in any planar direction using only two microphones. In our system, the two microphones are asymmetrically placed on a sphere, thus, 1) the diffraction by the sphere and the asymmetrical arrangement of the microphones give the localization cue including the frontback judgment, and 2) unlike the dummy head system, no previous mea...