This proposal seeks to investigate the use and exploitation of Latin Squares, and more specifically, Sudoku arrays, for radar and antenna beamforming applications for use in frequency diverse arrays (FDAs). A Latin square is comprised of an n~n grid in which each column and row contains all of the integers from 1 to n. Sudoku has the additional constraint that the same integer appears only once in the same row, column or any of the n sub-grids of size m~l of the n~n grid. In addition, the placement of the n symbols is mutually orthogonal, i.e., the correlation between the pattern containing the i-th symbol and the j-th symbol is very low, where i ~ j . This property permits the use of such arrays for spectral efficiency in radar systems and tailored beamforming in antenna arrays. In addition, the mutual orthogonality of the symbols can be exploited to implement optimal MIMO arrays for radar and communications applications.Our proposed research will involve modeling efforts, simulation studies, and experimental validation to design array architectures to meet specific objectives for radar and antenna applications. Examples include the implementation of specific radar 2-D ambiguity functions and formation of multiple antennas beamsfrom the same array. The advantage of the proposed approach is economy in the array size to meet exacting design requirements and the ability to quickly modify the array parameters for alternate applications, if desired.The four main topics to be addressed in our proposed research include: (1) Radar Waveform Optimization; (2) Spectral Efficiency of Radar Networks; (3) Multiple Antenna Beamforming for Radar Applications; and (4) Tailored MIMO Radar Designs.
|Effective start/end date||2/1/20 → 2/1/20|
- Office of Naval Research: $615,000.00