Enhanced PUMA for direction-of-arrival estimation and its performance analysis

Cheng Qian
Direction-of-arrival (DOA) estimation is a problem of significance in many applications. In practice, due to the occurrence of coherent signals and/or when the number of available snapshots is small, it is a challenge to find DOAs accurately. This problem is revisited here through a new enhanced principal-singular-vector utilization for modal analysis (EPUMA) DOA estimation approach, which improves the threshold performance by first generating ($P+K$) DOA candidates for $K$ sources where $P\geq K$, and then judiciously...
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