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Copyright of Journal of Beijing University of Technology is the property of Journal of Beijing University of Technology, Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The conformal electromagnetic vector sensor (CEMVS) array can be attached to the geometric surface of the conformal carrier and has a high degree of distributed freedom. Since the polarization vectors of different sensors in the comformal CEMVS array change with the change of the normal direction of the attached conformal geometric structure, it is impossible to directly use smoothing algorithms to solve the parameter estimation problem of the coherent signal. In this paper, the interpolation fitting method is creatively used to obtain an interpolation sub-array with the same polarization component after virtual translation of the sub-array, and then the interpolation sub-array is employed by the polarization smoothing methods to estimate the target parameters. At the same time, in order to reduce the influence of the interpolation fitting error on the interpolation sub-array data, a double interpolation fitting (DIF) method is proposed to realize echo decoherence and effectively estimate the two-dimensional angle and the two-dimensional polarization angle of the signal respectively. Finally, the interpolation fitting error and decoherence performance of the DIF method are analyzed by numerical results. [ABSTRACT FROM AUTHOR]

Due to the problem that the traditional direction of arrival (DOA) estimation algorithm can hardly estimate the weak signal when the strong signal is adjacent and it will fail when the signals are coherent， the covariance matrix was reconstructed by corresponding transformation for the received data matrix of array elements on the basis of theoretical derivation and analysis of traditional estimation algorithms. Then the pseudo data correlative matrix was constructed by rearranging the larger eigenvalues of the reconstructed covariance matrix. Finally combined with the MUSIC spectrum to search spectral peaks， the DOA estimation of strong and weak adjacent coherent signals were finished. By simulation， the results show that the coherence of signals could be eliminated by the proposed algorithm without reducing the array aperture. Whats more， the DOA of strong and weak adjacent signals could be estimated accurately. [ABSTRACT FROM AUTHOR]

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)