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CLC number: TN95

On-line Access: 2018-06-07

Received: 2016-09-13

Revision Accepted: 2017-01-23

Crosschecked: 2018-04-12

Cited: 0

Clicked: 1674

Citations:  Bibtex RefMan EndNote GB/T7714


Jun Wang


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Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.4 P.557-568


Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar

Author(s):  Jue Wang, Jun Wang

Affiliation(s):  National Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

Corresponding email(s):   xdwangjue@163.com

Key Words:  Multistatic passive radar, Compressed sensing, Phase adjustment, Fixed-point iteration technique

Jue Wang, Jun Wang. Joint compressed sensing imaging and phase adjustment via an iterative method for multistatic passive radar[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(4): 557-568.

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The resolution of the multistatic passive radar imaging system (MPRIS) is poor due to the narrow bandwidth of the signal transmitted by illuminators of opportunity. Moreover, the inaccuracies caused by the inaccurate tracking system or the error position measurement of illuminators or receivers can deteriorate the quality of an image. To improve the performance of an MPRIS, an imaging method based on the tomographic imaging principle is presented. Then the compressed sensing technique is extended to the MPRIS to realize high-resolution imaging. Furthermore, a phase correction technique is developed for compensating for phase errors in an MPRIS. Phase errors can be estimated by iteratively solving an equation that is derived by minimizing the mean recovery error of the reconstructed image based on the principle of fixed-point iteration technique. The technique is nonparametric and can be used to estimate phase errors of any form. The effectiveness and convergence of the technique are confirmed by numerical simulations.




Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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