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Your search keyword '"Ebrahimi, Mohammad"' showing total 2 results
Start Over Author "Ebrahimi, Mohammad" Topic degrees of freedom Publication Year Range Last 3 years Publication Type Periodicals
2 results on '"Ebrahimi, Mohammad"'

1. Optimal sparse linear array design with reduced mutual coupling effect.

Author

Ebrahimi, Mohammad, Karimi, Mahmood, and Modarres-Hashemi, Mahmoud

Subjects
*OPTIMIZATION algorithms, *DEGREES of freedom, *LINEAR programming
Abstract

Sparse linear arrays (SLAs) provide a high number of degrees of freedom (DOF) and reduce the mutual coupling effect between sensors of the array. Many design methods for SLAs have been proposed in the last two decades but most of the existing SLA design methods fail to achieve minimum number of sensors for a desired DOF. In this paper, a design method is proposed which utilizes the branch and bound (B & B) optimization algorithm to give a SLA with the desired DOF and minimum number of physical sensors. The proposed SLA design method is obtained by generalizing the minimum sensor array (MSA) design method which is recently proposed in the literature. This generalized method provides the same DOF as the MSA method but with a smaller number of physical sensors. In addition, a version of this design method is proposed which provides more robustness against mutual coupling effect between the sensors of the array. Simulation results demonstrate the superiority of the performance of the SLAs obtained with the proposed method over the arrays obtained with the MSA method and also over the other existing SLAs. [ABSTRACT FROM AUTHOR]

Published
2023
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2. Optimal placement of sensors to enhance degrees of freedom in monostatic collocated MIMO radar.

Author

Ebrahimi, Mohammad, Modarres-Hashemi, Mahmoud, and Yazdian, Ehsan

Subjects
*MIMO radar, *SENSOR placement, *MONOPULSE radar, *DEGREES of freedom, *ELECTRONIC information resource searching, *DATABASE searching
Abstract

Compared to the traditional monostatic MIMO radar which uses uniform linear arrays (ULAs) for transmitting and receiving signals, sparse linear arrays (SLAs) monostatic MIMO radars can achieve greater Degrees Of Freedom (DOF) and a higher resolution. The optimal placement of sensors in both transmit and receive arrays to attain the maximum DOF is, however, a basic problem in the collocated monostatic MIMO radar. Optimum solution of such a problem is restricted to an exhaustive computer search. Some popular arrays such as nested and coprime arrays have been previously proposed as alternative solutions that can achieve a good DOF, but they do not necessarily lead to the maximum one. In this paper at first, we formulate the optimal placement of sensors in the collocated monostatic MIMO radar to improve the sum coarray as well as the difference coarray of the sum coarray. After that, we present a mathematical framework to achieve the optimal solution for both problems. Finally, we demonstrate that the proposed method yields the optimal MR-MIMO array while demanding much less computational complexity as compared with the computer search. [ABSTRACT FROM AUTHOR]

Published
2023
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