Abstract: Optimizing the layout of sparse planar arrays constrained by minimum element spacing to reduce the peak sidelobe level (PSLL) is a difficult and challenging task in engineering applications.

Abstract: In this letter, a machine learning-based algorithm, K-nearest neighbor, is employed to predict the actual patterns of the linear arrays with arbitrary positions and varied element numbers.

You are given an array that consists of nnn integers. The array elements are indexed 1,2,…,n1,2,\dots,n1,2,…,n. You can modify the array using the following operation: choose an array element and ...