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In this letter, a novel nested PARAFAC algorithm was proposed to improve the8D parameters estimation performance for the bistatic EMVS-MIMO radar. Firstly,the outer part PARAFAC algorithm was carried out to estimate the receivespatial response matrix and its first way factor matrix. For the estimatedfirst way factor matrix, a theory is given to rearrange its data into an newmatrix, which is the mode-1 unfolding matrix of a three-way tensor. Then, theinner part PARAFAC algorithm was used to estimate the transmit steering vectormatrix, the transmit spatial response matrix and the receive steering vectormatrix. Thus, the transmit 4D parameters and receive 4D parameters can beaccurately located via the abovementioned process. Compared with the originalPARAFAC algorithm, the proposed nested PARAFAC algorithm can avoid additionalreconstruction process when estimating the transmit/receive spatial responsematrix. Moreover, the proposed algorithm can offer a highly-accurate 8Dparameters estimaiton than that of the original PARAFAC algorithm. Simulatedresults verify the effectiveness of the proposed algorithm.

8D Parameters Estimation for Bistatic EMVS-MIMO Radar via the nested PARAFAC