Efficient Beampattern Synthesis for Sparse Frequency Diverse Array via Matrix Pencil Method

Due to the introduction of frequency offsets, the pattern synthesis problem of sparse Frequency diverse array (FDA) becomes more complicated than that of the phased array. A typical way to solve this problem is to use a global optimization algorithm, but this is usually time-consuming. In this paper, we propose an efficient non-iterative beampattern synthesis approach for sparse FDA. For a given reference pattern, which can be generated by other synthesis methods, we first sample it uniformly and construct the Hankel matrix with the sampled data. By low-rank processing, a low-rank approximation version of the Hankel matrix can then be obtained. Finally, the matrix enhancement and matrix pencil (MEMP) and matrix pencil (MP) methods are applied to estimate the antenna positions, frequency offsets, and excitations of the obtained array from the approximated matrix. Besides this, two typical FDA frameworks including multi-carrier FDA (MCFDA) and standard FDA (SFDA) are considered. Numerical simulation results prove that the proposed method outperforms the existing methods in terms of synthesis error, average runtime, and percentage of saving elements.

Automated summary

In this paper, an efficient non-iterative beampattern synthesis approach for sparse Frequency diverse array (FDA) is proposed. The proposed method samples a given reference pattern uniformly, constructs a Hankel matrix with the sampled data, and obtains a low-rank approximation of the matrix by low-rank processing. Then, matrix enhancement and matrix pencil methods are used to estimate the parameters of the obtained array. Experimental results show that the proposed method outperforms existing methods in terms of synthesis error, average runtime, and percentage of saving elements.