您选择的条件: Zhang, Y.H.
  • Single layer dual-band reflectarray antenna with two independent radiation patterns

    分类: 地球科学 >> 空间物理学 提交时间: 2017-03-10

    摘要: This paper present a design for X/Ku dual-band reflectarray antennas with single layer which has two independent radiation patterns for X and Ku bands. In the design, a novel dual resonance structure has been used as the unit cell for both X and Ku band to achieve dual-band performance with a new approach. A 10�0 center-fed reflectarray operating at 9 GHz and 13.5 GHz with scattering angles of 12�and -30�respectively, is designed and the simulated results are presented to validate the approach.

  • A novel deorientation method in PolSAR data processing

    分类: 地球科学 >> 空间物理学 提交时间: 2017-03-10

    摘要: Deorientation plays an important role in polarimetric synthetic aperture radar (PolSAR) target decomposition, terrain classification, and geophysical parameters retrieval. The existing deorientation method roughly rotates the target by an average/mixed orientation angle (OA) about the line of radar sight. However, regarding the complex high-entropy mixed scatterer, which usually comprises several comparable sub-scatterers with different OAs, the average/mixed OA is obviously insufficient to account for the diverse OAs’ reality. To address this, a novel PolSAR data deorientation method is proposed in this letter. The proposed method deorients a mixed scatterer by reconstructing the underlying sub-scatterers using the eigenvalue-based Cloude–Pottier decomposition first, and then compensates the OA of each reconstructed sub-scatterer using Huynen’s desying operation, respectively. One important feature of the proposed method is that it is consistent with Huynen’s desying operation that the real part of the (1, 3) element of the deoriented coherency matrix should be zero. The proposed method provides a fine deorientation for mixed targets, and is especially suitable for the extraction of oriented urban regions. Comparative experiments with the existing method on RADARSAT-2 PolSAR data demonstrate the excellent deorientation performance of the proposed method. © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.