MIMO Radar Waveform Design With PAPR and Similarity Constraints
The paper investigates the joint design of transmit waveform and receive filter for multiple-input multiple-output radar in the presence of signal-dependent interference, subject to a peak-to-average-power ratio constraint as well as a waveform similarity constraint. Owing to this kind of signal dep...
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| Published in | IEEE transactions on signal processing Vol. 66; no. 4; pp. 968 - 981 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
IEEE
15.02.2018
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| Subjects | |
| Online Access | Get full text |
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| Abstract | The paper investigates the joint design of transmit waveform and receive filter for multiple-input multiple-output radar in the presence of signal-dependent interference, subject to a peak-to-average-power ratio constraint as well as a waveform similarity constraint. Owing to this kind of signal dependence and constraints, the formulated optimization problem of the output signal-to-interference-plus-noise ratio (SINR) maximization is NP-hard. To this end, an auxiliary variable is first introduced to modify the original problem, and then a primal-dual algorithm based on the block successive upper-bound minimization method of multipliers (BSUM-M) is developed to deal with the resulting problem. Moreover, an active set method is exploited to solve the quadratic programming problem involved in each update procedure of the proposed BSUM-M algorithm. Finally, numerical simulations are performed to demonstrate the superiority of the proposed algorithm over state-of-the-art methods in terms of the output SINR, beampattern, computational complexity, pulse compression, and ambiguity properties. |
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| AbstractList | The paper investigates the joint design of transmit waveform and receive filter for multiple-input multiple-output radar in the presence of signal-dependent interference, subject to a peak-to-average-power ratio constraint as well as a waveform similarity constraint. Owing to this kind of signal dependence and constraints, the formulated optimization problem of the output signal-to-interference-plus-noise ratio (SINR) maximization is NP-hard. To this end, an auxiliary variable is first introduced to modify the original problem, and then a primal-dual algorithm based on the block successive upper-bound minimization method of multipliers (BSUM-M) is developed to deal with the resulting problem. Moreover, an active set method is exploited to solve the quadratic programming problem involved in each update procedure of the proposed BSUM-M algorithm. Finally, numerical simulations are performed to demonstrate the superiority of the proposed algorithm over state-of-the-art methods in terms of the output SINR, beampattern, computational complexity, pulse compression, and ambiguity properties. |
| Author | He, Zishu Cheng, Ziyang Liao, Bin Fang, Min |
| Author_xml | – sequence: 1 givenname: Ziyang orcidid: 0000-0002-4498-2443 surname: Cheng fullname: Cheng, Ziyang email: zeeyoungcheng@163.com organization: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China – sequence: 2 givenname: Zishu surname: He fullname: He, Zishu email: zshe@uestc.edu.cn organization: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China – sequence: 3 givenname: Bin orcidid: 0000-0003-4636-4339 surname: Liao fullname: Liao, Bin email: binliao@szu.edu.cn organization: College of Information Engineering, Shenzhen University, Shenzhen, China – sequence: 4 givenname: Min surname: Fang fullname: Fang, Min email: fangfangmim@126.com organization: School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, China |
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| SubjectTerms | ASM BSUM-M Interference MIMO radar Optimization PAPR constraint Peak to average power ratio primal-dual receive filter Signal processing algorithms Signal to noise ratio similarity constraint transmit waveform |
| Title | MIMO Radar Waveform Design With PAPR and Similarity Constraints |
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