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eess.SP2023
Maximum A Posteriori Direction-of-Arrival Estimation via Mixed-Integer Semidefinite Programming
Tianyi Liu, Frederic Matter, Alexander Sorg +3
We propose a joint sparse maximum a posteriori (MAP) estimator for DOA estimation from multiple snapshots, reformulated as a mixed-integer semidefinite program (MISDP). This enable…
eess.SP2021★ 16 cited
Ambiguities in Direction-of-Arrival Estimation with Linear Arrays
Frederic Matter, Tobias Fischer, Marius Pesavento +1
In this paper, we present a novel approach to compute ambiguities in thinned uniform linear arrays, i.e., sparse non-uniform linear arrays, via a mixed-integer program. Ambiguities…