作者: X.-F. Gong , Z.-W. Liu , Y.-G. Xu
DOI: 10.1049/IET-SPR.2009.0221
关键词:
摘要: This study considers the problem of direction-of-arrival (DOA) and polarisation estimation based on a single six-component electromagnetic vector-sensor. A regularised parallel factor analysis (PARAFAC) model that fuses both second- fourth-order statistics sensor signal is established within framework. The steering vectors can be uniquely identified by exploiting link between this trilinear PARAFAC, from which unambiguous 2-D DOAs states further obtained. proposed method combines nice variance property second-order intrinsic multi-invariance structure cumulant (FOC) in tensorial manner, offers better performance than parameters via rotational invariance techniques FOC-based PARAFAC presence noise finite data length. Simulations are provided to illustrate method.