Abstract
Sparse circular arrays possess the dual advantages of the sparse array and the circular array: 1) the sparse array has expanded processing aperture and reduced channel number as well as reduced element mutual coupling; 2) the circular array can provide 360° omnidirectional non-ambiguous azimuth coverage. In this paper, a new sparse circular array geometry based on the criteria of minimizing the maximum sidelobe level (MSLL) is pro-posed. In addition, a binary sine cosine algorithm based on the dynamic grading strategy is established for finding the optimized sparse circular array element positions. For a fixed processing aperture, the array configurations given in the paper, as compared with their uniform counterparts, involve less number of receivers, have reduced element mutual coupling and the lowest sidelobe level. Simulations results are provided to illustrate the behavior of the proposed sparse circular arrays.
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