A novel joint parameter estimation method based on fractional ambiguity function in bistatic multiple-input multiple-output radar system
[Display omitted] •A new signal model for parameter estimation of the target in bistatic MIMO radar is proposed.•The fractional ambiguity function is utilized to estimate Doppler frequency parameters in the FRFT domain.•Two sub-array models are constructed based on the peak of the fractional cross-a...
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Published in | Computers & electrical engineering Vol. 39; no. 4; pp. 1248 - 1259 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.05.2013
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Subjects | |
Online Access | Get full text |
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Summary: | [Display omitted]
•A new signal model for parameter estimation of the target in bistatic MIMO radar is proposed.•The fractional ambiguity function is utilized to estimate Doppler frequency parameters in the FRFT domain.•Two sub-array models are constructed based on the peak of the fractional cross-ambiguity function.•Two new algorithms referred to as FCAF-MUSIC and FCAF-ESPRIT are proposed to estimate the DOA and DOD.
Due to the three dimensional motion characteristics of the target, the received scattering signal often contains a cubic term in its phase function. The existing signal model is not appropriate to approximate parameters in this case. In this paper, we propose a new signal model to accurately estimate parameters of the target. We use a novel approach, the fractional ambiguity function, to estimate Doppler frequency parameters in the fractional Fourier transform domain. Furthermore, we also develop two sub-array models to accurately estimate the direction-of-departure and direction-of-arrival by employing the proposed fractional cross-ambiguity function based MUSIC (FCAF-MUSIC) algorithm and the fractional cross-ambiguity function based ESPRIT (FCAF-ESPRIT) algorithm. Simulation results are presented to verify the effectiveness of the proposed method. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0045-7906 1879-0755 |
DOI: | 10.1016/j.compeleceng.2013.03.007 |