PARAFAC-BASED MIMO RADAR MODELING WITH SPACE-TIME-CODING DIVERSITY FOR PARAMETER ESTIMATION

MIMO radar

In this paper we propose tensor-based methods for parameter estimations in bistatic MIMO radar. We first present the basic MIMO radar system parameters including the array steering matrix at the reception and the transmission, the fading coefficients matrix, the symbol matrix and the delay propagation matrix and second the useful PARAFAC models. Different approaches of modelisation are detailed considering instant or convolutive channel processing with raw and statistical data. Our proposed algorithm is based on the knowledge of a coding matrix using Khatri-Rao products at the transmission. Using nested-PARAFAC model, two stages of alternating least squares algorithm allow us to estimate with accuracy all of the transmission parameters: DoA, DoD, fading coefficients and transmitted symbols. Several criteria such as RMSE, PSD, NMSE and SER are tested in the simulation section, where we can see that tensor-based methods provide efficiency due to the fact that they can take into account different kinds of diversity simultaneously.

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