论文标题
Bistatic EMVS-MIMO雷达的8D参数通过嵌套Parafac
8D Parameters Estimation for Bistatic EMVS-MIMO Radar via the nested PARAFAC
论文作者
论文摘要
在这封信中，提出了一种新型的嵌套parafac算法，以改善Bistatic EMVS-MIMO雷达的8D参数估计性能。首先，执行了外部parafac算法以估计接收空间响应矩阵及其第一个方法因子矩阵。对于估计的第一个方法因子矩阵，将其数据重新排列为一个新矩阵，这是一个新矩阵，该矩阵是三向张量的模式-1展开的矩阵。然后，使用内部部分parafac算法来估计发射转向矢量矩阵，传输空间响应矩阵和接收转向矢量矩阵。因此，可以通过上述过程准确地定位传输4D参数和接收4D参数。与原始的ParaFAC算法相比，在估计发送/接收空间响应矩阵时，提出的嵌套Parafac算法可以避免其他重建过程。此外，所提出的算法比原始Parafac算法提供了高度准确的8D参数。模拟结果验证了所提出的算法的有效性。
In this letter, a novel nested PARAFAC algorithm was proposed to improve the 8D parameters estimation performance for the bistatic EMVS-MIMO radar. Firstly, the outer part PARAFAC algorithm was carried out to estimate the receive spatial response matrix and its first way factor matrix. For the estimated first way factor matrix, a theory is given to rearrange its data into an new matrix, which is the mode-1 unfolding matrix of a three-way tensor. Then, the inner part PARAFAC algorithm was used to estimate the transmit steering vector matrix, the transmit spatial response matrix and the receive steering vector matrix. Thus, the transmit 4D parameters and receive 4D parameters can be accurately located via the abovementioned process. Compared with the original PARAFAC algorithm, the proposed nested PARAFAC algorithm can avoid additional reconstruction process when estimating the transmit/receive spatial response matrix. Moreover, the proposed algorithm can offer a highly-accurate 8D parameters estimaiton than that of the original PARAFAC algorithm. Simulated results verify the effectiveness of the proposed algorithm.
