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http://dx.doi.org/10.3837/tiis.2020.07.008

Angle-Range-Polarization Estimation for Polarization Sensitive Bistatic FDA-MIMO Radar via PARAFAC Algorithm  

Wang, Qingzhu (School of Computer Science, Northeast Electric Power University)
Yu, Dan (College of Electrical Engineering, Northeast Electric Power University)
Zhu, Yihai (Engineering Technology Center, CRRC Changchun Railway Vehicles Company Limited)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.14, no.7, 2020 , pp. 2879-2890 More about this Journal
Abstract
In this paper, we study the estimation of angle, range and polarization parameters of a bistatic polarization sensitive frequency diverse array multiple-input multiple-output (PSFDA-MIMO) radar system. The application of polarization sensitive array in receiver is explored. A signal model of bistatic PSFDA-MIMO radar system is established. In order to utilize the multi-dimensional structure of array signals, the matched filtering radar data can be represented by a third-order tensor model. A joint estimation of the direction-of-departure (DOD), direction-of-arrival (DOA), range and polarization parameters based on parallel factor (PARAFAC) algorithm is proposed. The proposed algorithm does not need to search spectral peaks and singular value decomposition, and can obtain automatic pairing estimation. The method was compared with the existing methods, and the results show that the performance of the method is better. Therefore, the accuracy of the parameter estimation is further improved.
Keywords
Bistatic PSFDA-MIMO radar; polarization estimation; angle estimation; range estimation; PARAFAC;
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