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arXiv · 1705.02357

Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2D MIMO Radar

Ming-Yang Cao·Sergiy A. Vorobyov·Aboulnasr Hassanien
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Abstract

In this paper, we propose a two-dimensional (2D) joint transmit array interpolation and beamspace design for planar array mono-static multiple-input-multiple-output (MIMO) radar for direction-of-arrival (DOA) estimation via tensor modeling. Our underlying idea is to map the transmit array to a desired array and suppress the transmit power outside the spatial sector of interest. In doing so, the signal-tonoise ratio is improved at the receive array. Then, we fold the received data along each dimension into a tensorial structure and apply tensor-based methods to obtain DOA estimates. In addition, we derive a close-form expression for DOA estimation bias caused by interpolation errors and argue for using a specially designed look-up table to compensate the bias. The corresponding Cramer-Rao Bound (CRB) is also derived. Simulation results are provided to show the performance of the proposed method and compare its performance to CRB.

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Ming-Yang Cao, Sergiy A. Vorobyov, Aboulnasr Hassanien. 2017-05-05. Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2D MIMO Radar. https://doi.org/10.1109/tsp.2017.2721904

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