20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Radar Coincidence Imaging for Off-Grid Target Using Frequency-Hopping Waveforms

      , , , ,
      International Journal of Antennas and Propagation
      Hindawi Limited

      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

          Radar coincidence imaging (RCI) is a high-resolution staring imaging technique without the limitation of the target relative motion. To achieve better imaging performance, sparse reconstruction is commonly used. While its performance is based on the assumption that the scatterers are located at the prediscretized grid-cell centers, otherwise, off-grid emerges and the performance of RCI degrades significantly. In this paper, RCI using frequency-hopping (FH) waveforms is considered. The off-grid effects are analyzed, and the corresponding constrained Cramér-Rao bound (CCRB) is derived based on the mean square error (MSE) of the “oracle” estimator. For off-grid RCI, the process is composed of two stages: grid matching and off-grid error (OGE) calibration, where two-dimension (2D) band-excluded locally optimized orthogonal matching pursuit (BLOOMP) and alternating iteration minimization (AIM) algorithms are proposed, respectively. Unlike traditional sparse recovery methods, BLOOMP realizes the recovery in the refinement grids by overwhelming the shortages of coherent dictionary and is robust to noise and OGE. AIM calibration algorithm adaptively adjusts the OGE and, meanwhile, seeks the optimal target reconstruction result.

          Related collections

          Most cited references24

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

          Compressed sensing

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

            A sparse signal reconstruction perspective for source localization with sensor arrays

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

              Compressed Sensing Off the Grid

                Bookmark

                Author and article information

                Journal
                International Journal of Antennas and Propagation
                International Journal of Antennas and Propagation
                Hindawi Limited
                1687-5869
                1687-5877
                2016
                2016
                : 2016
                :
                : 1-16
                Article
                10.1155/2016/8523143
                f25f54d2-813e-4a8a-866c-d70d08bde488
                © 2016

                http://creativecommons.org/licenses/by/4.0/

                History

                Comments

                Comment on this article