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We consider the problem of estimating the central direction of arrival (DOA) of multiple coherently distributed sources. This problem is encountered due to the presence of local scatters in the vicinity of a transmitter or due to signals propagating through a random inhomogeneous medium. Since the integral steering vector of coherently distributed source can be deduced to be a Schur-Hadamard product...
We consider the problem of estimating the parameters-the central direction of arrival (DOA) and angular spread of a coherently distributed source. This problem is encountered due to the presence of local scatterers in the vicinity of a transmitter or due to signals propagating through a random inhomogeneous medium. Since the computational complexity of the parameter estimation is normally highly demanding,...
Current research on signal estimation based on antenna array mostly focuses on certain signal of interest (SOI), in the presence of jammers, clutters and thermal noise. In reality, jammers play a critical role on the accuracy of the SOI estimation. In order to fundamentally figure out how jammers affect any estimation result, we concentrate our analysis on Cramer-Rao lower bound (CRLB) of the strength...
Recently, the sparse overcomplete signal representations have been introduced to solve the direction-of-arrival (DOA) estimation problem by sensor array. However, it still has high computational complexity, and as the dictionary, i.e. a collection of possible direction response vectors, is required to be ldquoovercompleterdquo, it has to cover all the possible DOAs both of the interesting signals...
This paper exploits rotation invariance of matrix pencil based on two parallel uniform linear polarization sensitive arrays, and eigenvalues and the corresponding eigenvectors of the matrix pencil are the rotation matrix and time-space-polarization steering vector of the subarray, respectively. The eigenvalues and steering vector can be used to estimate frequency, two-dimensional angles and polarization...
A novel technique is presented in this paper to estimate impairments of array antenna subsystems induced by analog/RF circuits, which include gain/phase mismatches among different antenna elements and imbalances between in-phase and quadrature (I/Q) branches of each element. These impairments are formulated as an impairment parameter matrix (IPM), which can be estimated by using a noise subspace fitting...
In this paper we consider the problem of estimating the eigenvectors of the sample covariance matrix of decentralized measurements in a distributed fashion. The need for a distributed scheme is motivated by the many moment based methods that resort to the covariance of the data to extract information from the measurements. For large sensor network, gathering the data at a central processor generates...
This paper addresses the problem of source localization and waveform estimation in array processing applications. We present two nonparametric user parameter free algorithms, namely the iterative adaptive approach (IAA) and the maximum likelihood based IAA (IAA-ML). Both IAA and IAA-ML can work with arbitrary array geometries and uncorrelated as well as coherent sources. We extend IAA and IAA-ML to...
This paper compare two real-time passive underwater acoustic methods to track multiple emitting whales using four or more omni-directional widely-spaced bottom-mounted hydrophones. The Stochastic Matched Filter (SMF) is first used in the whale tracking. The SMF with an echo removal is compared to the Teager-Kaiser-Mallat (TKM) filter method. We briefly review the SMF and TKM theory, rough time delays...
The channel outputs are sampled on nonuniform sampling sets, and an analysis of the decorrelation based on nonuniform sampling (NUS) is investigated. It is demonstrated that MUSIC algorithm with NUS of various array elements may be capable of selecting the signal of interesting including the coherent group. NUS in the time domain is equivalent to alter the relative distance between sensors and leads...
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