Machine Learning-Based Direction-of-Arrival Estimation Exploiting Distributed Sparse Arrays

Distributed sparse arrays, consisting of multiple subarrays, facilitate a higher number of degrees of freedom and enhanced direction-of-arrival (DOA) estimation performance beyond what is offered by single uniform linear arrays. When the array elements in each subarray are sparsely located, the covariance matrix is sparse with missing entries. Covariance matrix interpolation is commonly exploited ...