Type
ArticleKAUST Department
Electrical Engineering ProgramComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Electrical Engineering Program
Communication Theory Lab
Date
2014-05Permanent link to this record
http://hdl.handle.net/10754/575713
Metadata
Show full item recordAbstract
In multiple-input multiple-output (MIMO) radar settings, it is often desirable to transmit power only to a given location or set of locations defined by a beampattern. Transmit waveform design is a topic that has received much attention recently, involving synthesis of both the signal covariance matrix,, as well as the actual waveforms. Current methods involve a two-step process of designing via iterative solutions and then using to generate waveforms that fulfill practical constraints such as having a constant-envelope or drawing from a finite alphabet. In this paper, a closed-form method to design for a uniform linear array 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 uniformelemental 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.Citation
Lipor, J., Ahmed, S., & Alouini, M.-S. (2014). Fourier-Based Transmit Beampattern Design Using MIMO Radar. IEEE Transactions on Signal Processing, 62(9), 2226–2235. doi:10.1109/tsp.2014.2307838Sponsors
This work was supported by a grant from the Office of Competitive Research Funding (OCRF) at King Abdullah University of Science and Technology (KAUST). This work will be presented in part at the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Florence, Italy, May 2014.ae974a485f413a2113503eed53cd6c53
10.1109/TSP.2014.2307838