MIMO Radar Transceiver Design for High Signal-to-Interference-Plus-Noise Ratio
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John Lipor Final Thesis.pdf
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John Lipor Final Thesis
Type
ThesisAuthors
Lipor, JohnAdvisors
Alouini, Mohamed-Slim
Committee members
Alouini, Mohamed-Slim
Sultan Salem, Ahmed Kamal
Turkiyyah, George
Program
Electrical EngineeringDate
2013-05-12Permanent link to this record
http://hdl.handle.net/10754/291103
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Show full item recordAbstract
Multiple-input multiple-output (MIMO) radar employs orthogonal or partially correlated transmit signals to achieve performance benefits over its phased-array counterpart. It has been shown that MIMO radar can achieve greater spatial resolution, improved signal-to-noise ratio (SNR) and target localization, and greater clutter resolution using space-time adaptive processing (STAP). This thesis explores various methods to improve the signal-to-interference-plus-noise ratio (SINR) via transmit and receive beamforming. In MIMO radar settings, it is often desirable to transmit power only to a given location or set of locations defined by a beampattern. Current methods involve a two- step process of designing the transmit covariance matrix R via iterative solutions and then using R to generate waveforms that fulfill practical constraints such as having a constant-envelope or drawing from a finite alphabet. In this document, a closed- form method to design R is proposed that utilizes the discrete Fourier transform (DFT) coefficients and Toeplitz matrices. The resulting covariance matrix fulfills the practical constraints such as positive semidefiniteness and the uniform elemental power constraint and provides performance similar to that of iterative methods, which require a much greater computation time. Next, a transmit architecture is presented that exploits the orthogonality of frequencies at discrete DFT values to transmit a sum of orthogonal signals from each antenna. The resulting waveforms provide a lower mean-square error than current methods at a much lower computational cost, and a simulated detection scenario demonstrates the performance advantages achieved. It is also desirable to receive signal power only from a given set of directions defined by a beampattern. In a later chapter of this document, the problem of receive beampattern matching is formulated and three solutions to this problem are demonstrated. We show that partitioning the received data vector into subvectors and then multiplying each subvector with its corresponding weight vector can improve performance and reduce the length of the data vector. Simulation results show that all methods are capable of matching a desired beampattern. Signal-to-interference- plus-noise ratio (SINR) calculations demonstrate a significant improvement over the unaltered MIMO case.Citation
Lipor, J. (2013). MIMO Radar Transceiver Design for High Signal-to-Interference-Plus-Noise Ratio. KAUST Research Repository. https://doi.org/10.25781/KAUST-MV58Hae974a485f413a2113503eed53cd6c53
10.25781/KAUST-MV58H