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Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses
Joint Authors
Deng, Zhenmiao
Zhang, Yunjian
Shi, Jianghong
Ye, Linmei
Fu, Maozhong
Zhao, Chen
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
A novel method for solving Doppler ambiguous problem based on compressed sensing (CS) theory is proposed in this paper.
A pulse train with the random and sparse transmitting time is transmitted.
The received signals after matched filtering can be viewed as randomly sparse sampling from the traditional fixed-pulse repetition frequency (PRF) echo signals.
The whole target echo could be reconstructed via CS recovery algorithms.
Through refining the sensing matrix, which is equivalent to increase the sampling frequency of target characteristic, the Doppler unambiguous range is enlarged.
In particular, Complex Approximate Message Passing (CAMP) algorithm is developed to estimate the unambiguity Doppler frequency.
Cramer-Rao lower bound expressions are derived for the frequency.
Numerical simulations validate the effectiveness of the proposed method.
Finally, compared with traditional methods, the proposed method only requires transmitting a few sparse probing pulses to achieve a larger Doppler frequency unambiguous range and can also reduce the consumption of the radar time resources.
American Psychological Association (APA)
Zhang, Yunjian& Deng, Zhenmiao& Shi, Jianghong& Ye, Linmei& Fu, Maozhong& Zhao, Chen. 2015. Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses. Journal of Electrical and Computer Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068085
Modern Language Association (MLA)
Zhang, Yunjian…[et al.]. Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses. Journal of Electrical and Computer Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1068085
American Medical Association (AMA)
Zhang, Yunjian& Deng, Zhenmiao& Shi, Jianghong& Ye, Linmei& Fu, Maozhong& Zhao, Chen. Doppler Ambiguity Resolution Based on Random Sparse Probing Pulses. Journal of Electrical and Computer Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1068085
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1068085