An adaptive method applying eigenvalue decomposition-based spectrum analysis technique to narrow-band digital communication interference suppression in radar is proposed and studied.

The signal processing model for EM-sensor mounted on the airframe is made by biquaternion and then the eigenvalue decomposition(EVD)of spectral matrix is obtained by means of the EVD of its quaternion adjoint matrix.

The proposed method consists of the segmented matrix eigenvalue decomposition method,independent component analysis and information bits shell-off algrithm based on m sequence\'s shift-and-add characteristics.

According to the principle of kernel function spectral decomposition,the authors express the discrete real kernel as a symmetric matrix,and indicate the discrete bilinear time-frequency transformation as a weighted sum of discrete spectrograms with eigen-decomposition of symmetric matrices.

Projection approximation subspace tracking with deflation (PASTd) algorithm belonging to eigen-decomposition algorithm was widely used in adaptive beam forming for antenna array.

Based on the theory of eigen-decomposition of fully polarimetric Synthetic Aperture Radar (SAR) and maximum likelihood (ML) classifier,an unsupervised iteration classification method is proposed.

Suppression of radio-frequency interference in HFGW radar based on eigen decomposition;

High-resolution direction-of-arrival (DOA) estimation algorithms based on eigendecomposition have a promising future in engineering application for their good performances.

The new method avoids the estimation and eigendecomposition of the covariance matrix of the received signals which is the main computational burden in traditional subspace method.

Then, exploiting the matrix perturbation theory, the second order correction method of matrix eigendecomposition to update the eigenvalues and eigenvectors is proposed.