1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Direction-of-Arrival Estimation in Coprime Array Using the ESPRIT-Based Method

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Coprime arrays have shown potential advantages for direction-of-arrival (DOA) estimation by increasing the number of degrees-of-freedom in the difference coarray domain with fewer physical sensors. In this paper, a new DOA estimation algorithm for coprime array based on the estimation of signal parameter via rotational invariance techniques (ESPRIT) is proposed. We firstly derive the observation vector of the virtual uniform linear array but the covariance matrix of this observation vector is rank-deficient. Different from the traditional Toeplitz matrix reconstruction method using the observation vector, we propose a modified Toeplitz matrix reconstruction method using any non-zero row of the covariance matrix in the virtual uniform linear array. It can be proved in theory that the reconstructed Toeplitz covariance matrix has full rank. Therefore, the improved ESPRIT method can be used for DOA estimation without peak searching. Finally, the closed-form solution for DOA estimation in coprime array is obtained. Compared to the traditional coprime multiple signal classification (MUSIC) methods, the proposed method circumvents the use of spatial smoothing technique, which usually results in performance degradation and heavy computational burden. The effectiveness of the proposed method is demonstrated by numerical examples.

          Related collections

          Most cited references 36

          • Record: found
          • Abstract: not found
          • Article: not found

          ESPRIT-estimation of signal parameters via rotational invariance techniques

           R Roy,  T Kailath (1989)
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Beamforming: a versatile approach to spatial filtering

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Nested Arrays: A Novel Approach to Array Processing With Enhanced Degrees of Freedom

                Bookmark

                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                09 February 2019
                February 2019
                : 19
                : 3
                Affiliations
                College of Automation, Harbin Engineering University, Harbin 150001, China; mengzhenheu@ 123456163.com
                Author notes
                [* ]Correspondence: zhouweidong@ 123456hrbeu.edu.cn ; Tel.: +86-451-8256-8107
                Article
                sensors-19-00707
                10.3390/s19030707
                6387344
                30744093
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                Categories
                Article

                Comments

                Comment on this article