Array Parameter Estimation Based On PARAFAC Analysis

With the fast development of mobile communications and emerging services, an increasing number of scientists start to focus on smart antenna technique. In early 90's, smart antenna technique has been applied to commercial mobile communications; it is an important breakthrough in mobile communication techniques and is universally recognized as a general tendency in future. The parameter estimation of array signals is an essential part of smart antenna technique. The parameter estimation of three kinds of antenna arrays(uniform linear array, uniform circular array and square array) is investigated in this paper. The main contents are as follows:The characteristics of smart array technique and classic methods of parameter estimation are simply introduced.The background and knowledge of PARAFAC technique are introduced which mainly focus on analysis of 3-dimension data. Two important methods of decomposition of PARAFAC model are introduced: TALS(Trilinear Alternating Least Square) and COMFAC(COMplex parallel FACtor analysis). COMFAC method will be used in the following chapters as a faster algorithm in simulations.Joint angle and frequency estimation based on parallel factor technique is investigated. A joint angle and frequency estimation method based on trilinear alternating least square in uniform linear array is presented. This algorithm relies on a fundamental result regarding the uniqueness of low-rank three-way array decomposition and has better performance, and supports small sample sizes.Blind joint angle and delay estimation method based on parallel factor technique is investigated. A blind joint angle and delay estimation method based on complex parallel factor in uniform linear array and a blind joint angle and delay estimation method based on complex parallel factor in uniform circular array are presented in this paper to improve convergence performance. The simulation results reveal that the presented algorithms have better performance of the estimation of delay and DOA. They have better convergence , and work well in low snapshots. Furthermore, they are blind and robust.DOA estimation based on PARAFAC technique is investigated. A DOA estimation method based on COMFAC in square array is presented. Compared with traditional methods ,the presented one has better DOA estimation performance and faster convergence rate . It also has blind and robust characteristic.