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Direction-of-arrival (DOA) estimation using non-uniform linear arrays is considered. We focus on the so called "fully augmentable arrays" (FAAs) with full set of covariance lags. In FAAs, the number of covariance lags is usually larger than the number of sensors in the array. Thus, with FAAs more sources than the number of sensors can be identified. Existing DOA estimation algorithms for...
Parameter estimation has applications in many fields of signal processing, such as spectral analysis or direction-of-arrival estimation. Subspace-based methods like root-MUSIC and ESPRIT provide high parameter resolution at low computational complexity by exploiting specific sampling structure, namely uniform linear sampling and shift-invariant sampling, respectively. On the other hand, compressed...
In this paper, we consider the performance analysis of the distributed eigenvalue estimation technique based on the decentralized power method (d-PM) and the averaging consensus (AC) protocol. An analytical asymptotic expression of the second order statistics of the eigenvalues obtained from the d-PM is presented. This expression is essential for assessing the performance of estimators which are based...
Direction-of-arrival (DOA) estimation in partly calibrated array composed of multiple fully calibrated subarrays is considered. The location of the sensors in the subarrays are assumed to be arbitrary, i.e., no specific subarray geometry is assumed. Using array interpolation, we extend the previously proposed decentralized ESPRIT algorithm (d-ESPRIT), originally designed for shift-invariance array...
In this paper, decentralized spectrum sensing in a network of multiple cooperative cognitive nodes is considered. Based on the averaging consensus protocol, we propose a decentralized implementation of the energy detector, which is conventionally applied for spectrum sensing in a centralized fashion. The exact (non-asymptotic) null distribution of the decentralized energy detector test statistic is...
In this paper, we consider performance analysis of the decentralized power method for the eigendecomposition of the sample covariance matrix based on the averaging consensus protocol. An analytical expression of the second order statistics of the eigenvectors obtained from the decentralized power method, which is required for computing the mean square error (MSE) of subspace-based estimators, is presented...
In this paper, we propose a decentralized implementation of the root-MUSIC algorithm over a network of nodes based on averaging consensus (AC) protocol. In our implementation, the nodes compute a sufficient statistic of their measurements, namely the signal subspace, in a decentralized fashion and sent it to a fusion center (FC), which performs the direction-of-arrival (DOA) estimation using the root-MUSIC...
The problem of direction-of-arrival (DOA) estimation using partly calibrated arrays composed of multiple identically oriented subarrays is considered. The subarrays are assumed to possess the shift-invariance property which is exploited to develop a distributed search-free DOA estimation algorithm that is based on the generalized eigendecomposition (GED) of a pair of covariance matrices. We propose...
The problem of Direction of Arrival (DoA) estimation using partly calibrated arrays composed of multiple identically oriented subarrays is considered. The subarrays are assumed to possess the shift invariance property which is exploited to achieve decentralized search free DoA estimation based on the ESPRIT method. In our previous work, the decentralized power method and the Averaging Consensus (AC)...
We consider decentralized direction-of-arrival (DoA) estimation for large partly calibrated arrays composed of multiple fully calibrated uniform linear subarrays. Due to the difficulty of maintaining coherence between signals received in widely separated subarrays, the practical case of non-coherent subar-rays is investigated. Our novel approach for decentralized and non-coherent DoA estimation is...
We consider direction-finding in partly calibrated arrays composed of multiple identically oriented subarrays. The subarrays are assumed to possess a shift invariance structure that can be exploited for search free direction of arrival (DoA) estimation. We propose a fully distributed DoA estimation scheme that is based on the averaging consensus algorithm, in which the subarrays communicate only locally...
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