Efficient Subspace Fitting Algorithms for Diversely Polarized Arrays
نویسنده
چکیده
Diversely polarized antenna arrays are widely used in RF applications. The diverrity of rerponse provided b y such arrays can greatly improve direction finding performance over arrays sensitive to only one polarixation component. For d emitterr, direct implementation of a multidimensional estimation algorithm (e.g., maximum likelihood) requires a search f o r 3d parameters: d directions of arrival (DOAs), and 2d polarization parameters. In this paper, we derive a more ¢ solution based on noise subspace fitting (NSF). The NSF algorithm is decoupled into a two-step procedure, where the DOAs are estimated first, and then the p o larization parametera are obtained b y solving a linear equation. The main advantage of this approach is that the search dimension is reduced b y a factor of three. In addition, the algorithm can be shown to yield asymptotically minimum variance estimates provided no perfectlg coherent signals are present.
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Subspace Fitting with Diversely Polarized Antenna Arrays
Diversely polarized antenna arrays are widely used in l2F applications. The diversity of response provided by such arrays can greatly improve direction finding performance over arrays sensitive to only one polarization component. For d emitters, directly implementing a multidimensional estimation algorithm (e.g., maximum likelihood) would require a search for 3d parameters: d directions of arri...
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