A new 5-D parameters joint estimation method for near field sources
Liguo Wang · 2012
A new method is presented to estimate range, elevation, azimuth and polarization parameters for near-field sources based on the second order statistics. The algorithm adopts centro-symmetric cross polarization sensitive array, every sensor consists of orthogonal dipole-pairs with the same coordinate axis direction, constructs eight second order statistics matrixes by receiving polarized data. According to the tripartite relationships among subspace matrixes, eigenvalue of the matrix and the eigenvector of opposition the eigenvalue, the method estimate the 5-D parameters of near field sources utilizing the subspace decompositions method and total least squares method. Its characteristics are not require any spectral peak search, have high estimation accuracy, low computational complexity, and need once parameter pairing only. It can be applied to additive Gaussian noise environment. The performance of the proposed method is verified by computer simulations.