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

• URL: http://arxiv.org/abs/2007.13824v3
• Date: Fri, 5 Mar 2021 12:24:53 GMT
• Title: Deep Learning for DOA Estimation in MIMO Radar Systems via Emulation of Large Antenna Arrays
• Authors: Aya Mostafa Ahmed, Udaya Sampath K.P. Miriya Thanthrige, Aly El Gamal, and Aydin Sezgin
• Abstract summary: We present a MUSIC-based Direction of Arrival estimation strategy using small antenna arrays. We employ deep learning to reconstruct the signals of a virtual large antenna array.
• Score: 15.180687831560174
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We present a MUSIC-based Direction of Arrival (DOA) estimation strategy using small antenna arrays, via employing deep learning for reconstructing the signals of a virtual large antenna array. Not only does the proposed strategy deliver significantly better performance than simply plugging the incoming signals into MUSIC, but surprisingly, the performance is also better than directly using an actual large antenna array with MUSIC for high angle ranges and low test SNR values. We further analyze the best choice for the training SNR as a function of the test SNR, and observe dramatic changes in the behavior of this function for different angle ranges.

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