PARAFAC Estimators for Coherent Targets in EMVS-MIMO Radar with Arbitrary Geometry

In the past few years, multiple-input multiple-output (MIMO) radar with electromagnetic vector sensor (EMVS) array, or called EMVS-MIMO radar, has attracted extensive attention in target detection. Unlike traditional scalar sensor-based MIMO an can not only provides a two-dimensional (2D) direction finding of targets but also offers 2D polarization parameter estimation, which may be important for detecting weak targets. this paper, we investigate into multiple estimations bistatic presence coherent targets, whose transmitting EMVS and receiving are placed arbitrary topology. Three tensor-aware spatial smoothing estimators introduced. The core proposed is to de-correlate via technique then formulate covariance matrix third-order parallel factor (PARAFAC) tensor. After PARAFAC decomposition tensor, matrices obtained. Thereafter, accomplished normalized cross-product technique. Finally, estimated least squares method. state-of-the-art estimator, suitable geometries, they robust as well position errors. addition, have better estimation performance than current matrix-based estimators. Moreover, computationally efficient subspace methods, especially large-scale array. analyzed detail. Numerical experiments coincide our theoretical findings.