Improved MUSIC Algorithm for Multiple Noncoherent Subarrays

This work addresses the direction-of-arrival (DOA) estimation issue with multiple noncoherent subarrays. We use a maximum likelihood approach to derive a weighted MUSIC (w-MUSIC) algorithm for such arrays, which obtains the overall spatial spectrum via combining the weighted MUSIC spectrum of the subarrays. Theoretical analysis and numerical examples demonstrate that the w-MUSIC algorithm has a better performance compared to a previously introduced MUSIC algorithm for noncoherent subarrays.