ArticleSensors (Basel, Switzerland)2016
DOA and Polarization Estimation Using an Electromagnetic Vector Sensor Uniform Circular Array Based on the ESPRIT Algorithm.
Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- An Improved Unfolded Coprime Linear Array Design for DOA Estimation with No Phase Ambiguity.Sensors (Basel, Switzerland) · 2024Article
- Ambiguity Resolution for Passive 2-D Source Localization with a Uniform Circular Array.Sensors (Basel, Switzerland) · 2018Article
- Closed-Form Algorithm for 3-D Near-Field OFDM Signal Localization under Uniform Circular Array.Sensors (Basel, Switzerland) · 2018Article
- Real-Valued 2D MUSIC Algorithm Based on Modified Forward/Backward Averaging Using an Arbitrary Centrosymmetric Polarization Sensitive Array.Sensors (Basel, Switzerland) · 2017Article
- Ambiguity Resolution for Phase-Based 3-D Source Localization under Fixed Uniform Circular Array.Sensors (Basel, Switzerland) · 2017Article
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Authors and funding
4 authors.
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Abstract
In array signal processing systems, the direction of arrival (DOA) and polarization of signals based on uniform linear or rectangular sensor arrays are generally obtained by rotational invariance techniques (ESPRIT). However, since the ESPRIT algorithm relies on the rotational invariant structure of the received data, it cannot be applied to electromagnetic vector sensor arrays (EVSAs) featuring uniform circular patterns. To overcome this limitation, a fourth-order cumulant-based ESPRIT algorithm is proposed in this paper, for joint estimation of DOA and polarization based on a uniform circular EVSA. The proposed algorithm utilizes the fourth-order cumulant to obtain a virtual extended array of a uniform circular EVSA, from which the pairs of rotation invariant sub-arrays are obtained. The ESPRIT algorithm and parameter pair matching are then utilized to estimate the DOA and polarization of the incident signals. The closed-form parameter estimation algorithm can effectively reduce the computational complexity of the joint estimation, which has been demonstrated by numerical simulations.
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