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Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays

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Document pages: 6 pages

Abstract: We present a MUSIC-based Direction of Arrival (DOA) estimation strategy usingsmall antenna arrays, via employing deep learning for reconstructing thesignals of a virtual large antenna array. Not only does the proposed strategydeliver significantly better performance than simply plugging the incomingsignals into MUSIC, but surprisingly, the performance is also better thandirectly using an actual large antenna array with MUSIC for high angle rangesand low test SNR values. We further analyze the best choice for the trainingSNR as a function of the test SNR, and observe dramatic changes in the behaviorof this function for different angle ranges.

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