ISAR cross-range scaling using a correlation based functional

In this paper a technique for cross-range scaling of an ISAR image is proposed. Two suitable rows s_i and s_j, relative to the i-th and j-th range bin, are extracted from the range compressed hologram. Then a proper functional G(d(t)), where d(t) is the target rotation law, is evaluated on the complex vector hequiv[h₁ h₂...h_n _s]^T, with h_k=s*_iks_jk and k=1, ..., n_s, such that its maximization leads to motion rotation parameter estimation. It is shown how cross-range scaling may be obtained with an observation angle of few degrees. It is considered relevant that the scaling technique is applied to the hologram before motion compensation, so target translation estimation error does not affect rotation estimation. An efficient algorithm to evaluate the functional, based on nearest neighbor or linear interpolation, is then described. Finally, the effectiveness of the technique is tested on real data.