Direction of Arrival and Polarization Estimation for Nested Polarization Sensitive Array
نویسندگان
چکیده
منابع مشابه
Array Signal Processing for Maximum Likelihood Direction-of-Arrival Estimation
Estimation of the emitters’ directions with an antenna array, or Direction-of-Arrival (DOA) estimation, is an essential problem in a large variety of applications such as radar, sonar, mobile communications, and seismic exploration, because it is a major method for location determination. In wireless communications, DOA estimation may significantly improve communication efficiency and network c...
متن کاملDirection-of-Arrival Estimation with Coarray ESPRIT for Coprime Array
A coprime array is capable of achieving more degrees-of-freedom for direction-of-arrival (DOA) estimation than a uniform linear array when utilizing the same number of sensors. However, existing algorithms exploiting coprime array usually adopt predefined spatial sampling grids for optimization problem design or include spectrum peak search process for DOA estimation, resulting in the contradic...
متن کاملPolarization Sensitive Array Based Physical-Layer Security
In this paper we propose a comprehensive framework exploiting the polarization sensitive array (PLA) to improve the physical layer security of wireless communications. More specifically, the polarization difference among signals are utilized to improve the secrecy rate of wireless communications, especially when these signals are spatially indistinguishable. We firstly investigate the PLA based...
متن کاملMultidimensional Array Interpolation Applied to Direction of Arrival Estimation
In MIMO communications systems, the data has a natural multidimensional structure composed of time, frequency and space dimensions. Recently, multidimensional techniques that take into account the data multidimensional structure have been proposed for model order selection, parameter estimation and prewhitening. These multidimensional techniques require an array with a PARAFAC structure. Howeve...
متن کاملDirection of Arrival Estimation using a Sparse Linear Antenna Array
1057 Abstract—This paper presents the use of Inverse Free Krylov Subspace Algorithm (IFKSA) with Estimation of Signal Parameter via Rotational Invariance Technique (ESPRIT), for Direction-of-Arrival (DOA) estimation using a Sparse Linear Array (SLA) of antenna elements. The use of SLA reduces the hardware requirements and the production cost. The SLA generates the sparse data, the pure signal s...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2949910