Accession Number : ADA623645


Title :   The Use of Compressive Sensing to Reconstruct Radiation Characteristics of Wide-Band Antennas from Sparse Measurements


Descriptive Note : Final rept. Jan-Apr 2015


Corporate Author : ARMY RESEARCH LAB WHITE SANDS MISSILE RANGE NM SURVIVABILITY/LETHALITY ANALYSIS DIRECTORATE


Personal Author(s) : Debroux, Patrick ; Verdin, Berenice


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a623645.pdf


Report Date : Jun 2015


Pagination or Media Count : 28


Abstract : Characterization measurements of wide-band antennas can be time intensive and expensive as many data points are required both in the angular and the frequency dimensions. Compressive sensing is proposed to reconstruct the radiation patterns and frequency behavior of antennas from a sparse and random data set of measurements. Parallel compressive sensing is used to reconstruct the desired 2-dimensional (2-D) far-field, radiation-frequency pattern from a randomly distributed, limited set of measurements. Three antenna models were constructed--a pyramidal horn, a Vivaldi, and a bicone--and their 2-D far-field radiation patterns were modeled over a large frequency range using a high-frequency structural simulator. Analyses of uniform- versus nonuniform-pattern reconstruction, of transform function used, and of minimum randomly distributed measurements needed to reconstruct the antennas--radiation characteristics showed the radiation-frequency patterns of the 3 antennas are better reconstructed with the discrete Fourier transform in the angular dimension and with the discrete cosine transform in the frequency dimension. Further, little difference was found in the radiation-frequency pattern's reconstruction using uniform and nonuniform randomly distributed samples even though the pattern error manifests itself differently. The radiation-frequency patterns of the 3 antennas were adequately reconstructed using as little as 30% of calculated points.


Descriptors :   *BROADBAND ANTENNAS , *RADIATION PATTERNS , COMPRESSIVE PROPERTIES , DISCRETE FOURIER TRANSFORMS , ERRORS , FAR FIELD , HIGH FREQUENCY , HORN ANTENNAS , MATHEMATICAL MODELS , NONUNIFORM , SIGNAL PROCESSING , SIMULATORS , SPARSE MATRIX , STRUCTURAL PROPERTIES


Subject Categories : Electrical and Electronic Equipment
      Radiofrequency Wave Propagation


Distribution Statement : APPROVED FOR PUBLIC RELEASE