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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)...
A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. The proposed formulation is based on sparse reconstruction using a mixed trace- and ℓ1-norm minimization and exploits joint sparsity and special structure in the signal model. The new technique is applicable to subarrays of arbitrary...
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...
In the present paper, we propose a novel method for estimating one-dimensional damped and undamped harmonics. Our method utilizes the multiple shift-invariance property comprised in the signal model. We develop a new rank-reduction estimator which is formed as the weighted sum of the individual matrix polynomials obtained from individual shift-invariance equations. The uniqueness conditions for the...
In this paper, a novel direction-of-arrival (DOA) method for partly-calibrated arrays composed of multiple identical subarrays is proposed. The new approach enables us not only to estimate the DOAs in this type of arrays but also, to simultaneously, compute the steering vectors of all subarrays. Unlike other methods for partly-calibrated arrays, our proposed algorithm exploits the estimated calibration...
In the present paper, we propose a novel harmonic retrieval (HR) method for estimating the parameters of a damped harmonic mixture. Unlike existing approaches which rely on shift-invariance property of measurement data in the perfect uniform sampling case, here we also consider the incomplete data case where specific samples in the uniform sampling grid are unavailable. We develop a rank-reduction...
In this paper, a new direction-of-arrival (DOA) estimation technique applicable to partly-calibrated arrays (PCAs) composed of arbitrary subarrays with unknown subarray displacements is developed. The new method is not restricted to any specific array geometry and allows joint estimation of the DOAs and calibration of the entire sensor array. Computer simulations show that the proposed approach substantially...
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