Spatial spectrum estimation algorithm of polarization sensitive array based on compensating spatial domain manifold matrix

Aiming at the uniform circular array model of conformal antenna array, we proposed a spatial spectrum estimation algorithm of polarization sensitive array based on compensating spatial domain manifold matrix. Because the conformal antenna is highly sensitive to the polarization information of the incident signal, traditional spatial spectrum direction-finding algorithm is not suitable. Meanwhile, when the classical polarization sensitive array spatial spectrum estimation algorithm is adopted, the interference generated by the anti-radiation detection system in the case of multipath, signal refraction and diffraction will be directly introduced into the model of the polarization sensitive array spatial spectrum finding theory, and then, resulting in a large estimation error of direction of arrival (DOA) and polarization parameters. The algorithm compensates the spatial domain components of the spatial domain array manifold matrix, which combine with the multiple signal classification (MUSIC) DOA estimation algorithm to construct a four-dimensional polarization sensitive array spatial spectrum function. And then, applying the reducing dimension spectral peak search to achieve the two-dimensional DOA and polarization parameters estimation of the target signal. Compared with the classical polarization sensitive array MUSIC direction-finding algorithm, the algorithm we explored can suppress the front-end error of the system, avoid the mismatch between the spatial domain components and the theoretical model of the algorithm, and realize the high precision direction-finding and tracking of the target signal.