A Fast State-Space Algorithm for 3D Scattering Center Extraction of Radar Targets

Scattering centers play a very important role in applications such as radar target recognition. Extracting the scattering center position parameters during target reconstruction can also greatly reduce the amount of data that need to be stored. The state-space algorithm forms a Hankel matrix by spatial sliding in each direction, then extracts the scattering center coordinate information by three times singular value decomposition, although the precision is high but the time consuming is too much. This paper proposes an optimized fast state-space algorithm, which only needs to compute the singular value decomposition for one time. And based on the GTD model, position coordinates of the scattering center can be directly obtained in this paper. Just one time singular value decomposition reduces the time consuming by this algorithm, and the simulation results show that the precision of this algorithm is also high.