Real‐valued gridless DOA estimation in massive ULA using a single snapshot

Basis mismatch challenges the conventional direction‐of‐arrival estimation constrained by sparse representation, especially in the case of massive antennas limited to a single snapshot. In this letter, we develop a real‐valued gridless direction‐of‐arrival estimation method to improve angular precision in the aforementioned circumstances. A new data model is first established through real‐valued transformation and then estimate the large low‐rank matrix with nuclear norm minimization. A fast iterative algorithm is designed to recover the underlying matrix faithfully and efficiently by the alternating direction method of multipliers. Numerical examples validate the performance improvement of the proposed method in the massive uniform linear array. This work also shows the potential to apply in measured data of the millimeter‐wave multiple‐input multiple‐output system.

Abstract licence: CC BY-ND

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