Yuneisy Garcia Guzman, Michael Lunglmayr,
"Sparse Cyclic Coordinate Descent for Efficient Frequency Estimation"
: Proceedings of the 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2019), IEEE, 12-2019, ISBN: 978-1-7281-5549-4
Original Titel:
Sparse Cyclic Coordinate Descent for Efficient Frequency Estimation
Sprache des Titels:
Englisch
Original Buchtitel:
Proceedings of the 2019 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2019)
Original Kurzfassung:
We present an approach for low complexity frequency estimation based on Sparse Cyclic Coordinate Descent (SCCD). We demonstrate that contrary to the Root-MUltiple Signal Classi?cation (Root-MUSIC) algorithm, the complexity of our proposed algorithm only scales linearly with the number of measurements as well as the number of frequencies considered on a grid. The presented algorithm is especially suited for digital hardware implementations. Simulations show that it achieves comparable estimation results than Root-MUSIC.
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