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      Beamforming of Joint Polarization-Space Matched Filtering for Conformal Array

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          Abstract

          Due to the polarization mismatch of the antenna, the received signal suffers from energy loss. The conventional beamforming algorithms could not be applied to the conformal array because of the varying curvature. In order to overcome the energy loss of the received signal, a novel joint polarization-space matched filtering algorithm for cylindrical conformal array is proposed. First, the snapshot data model of the conformal polarization sensitive array is analyzed. Second, the analytical expression of polarization sensitive array beamforming is derived. Linearly constrained minimum variance (LCMV) beamforming technique is facilitated for the cylindrical conformal array. Third, the idea of joint polarization-space matched filtering is presented, and the principle of joint polarization-space matched filtering is discussed in detail. Theoretical analysis and computer simulation results verify that the conformal polarization sensitive array is more robust than the ordinary conformal array. The proposed algorithm can improve the performance when signal and interference are too close. It can enhance the signal-to-noise ratio (SNR) by adjusting the polarization of the elements of the conformal array, which matches the polarization of the incident signal.

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          Most cited references36

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          Is Open Access

          Data-Driven Adaptive Observer for Fault Diagnosis

          This paper presents an approach for data-driven design of fault diagnosis system. The proposed fault diagnosis scheme consists of an adaptive residual generator and a bank of isolation observers, whose parameters are directly identified from the process data without identification of complete process model. To deal with normal variations in the process, the parameters of residual generator are online updated by standard adaptive technique to achieve reliable fault detection performance. After a fault is successfully detected, the isolation scheme will be activated, in which each isolation observer serves as an indicator corresponding to occurrence of a particular type of fault in the process. The thresholds can be determined analytically or through estimating the probability density function of related variables. To illustrate the performance of proposed fault diagnosis approach, a laboratory-scale three-tank system is finally utilized. It shows that the proposed data-driven scheme is efficient to deal with applications, whose analytical process models are unavailable. Especially, for the large-scale plants, whose physical models are generally difficult to be established, the proposed approach may offer an effective alternative solution for process monitoring.
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            Two-dimensional angle and polarization estimation using the ESPRIT algorithm

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              Estimating the DOA and the Polarization of a Polynomial-Phase Signal Using a Single Polarized Vector-Sensor

              Xin Yuan (2012)
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                Author and article information

                Journal
                ScientificWorldJournal
                ScientificWorldJournal
                TSWJ
                The Scientific World Journal
                Hindawi Publishing Corporation
                1537-744X
                2013
                31 December 2013
                : 2013
                : 589675
                Affiliations
                1Department of Information and Communication Engineering, University of Harbin Engineering, Harbin 150001, China
                2Science and Technology on Underwater Test and Control Laboratory, Dalian 116013, China
                Author notes

                Academic Editors: H. R. Karimi, X. Yang, Z. Yu, and W. Zhang

                Author information
                http://orcid.org/0000-0003-0574-8360
                Article
                10.1155/2013/589675
                3899738
                3470c8e0-0054-4b7b-a934-036f461e6d5e
                Copyright © 2013 Lutao Liu et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 September 2013
                : 17 November 2013
                Funding
                Funded by: http://dx.doi.org/10.13039/501100001809 National Natural Science Foundation of China
                Award ID: 61201410
                Categories
                Research Article

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