Towards a theory of perception for radar targets

An elimination of polarization bias can be achieved in radar detection if the target scattering matrix is known for the monostatic radar case. In the present treatment of methods for data representation of objects based on fields and on power, the polarized scattered return is in effect given a coherent wave field or completely polarized Stokes' vector power presentation; for targets, a presentation based on scattering matrix or Stokes matrix is given. A novel vector formulation is presented which relates to the cognitive requirement for a string of target features. The concept formulation of general object structures is shown to be diagramatically related to hierarchical object tree structures widely employed in AI.