Cramer-Rao Low Bound of Radar Tracking by Exploiting the Correlativities of Multi-Dimension Resolution Cells

Because of the characteristics of radar signal, the echo energy from one target contributes to several adjacent delay-Doppler resolution cells after matched filtering, so that the amplitudes of these cells are correlated; There is a similar situation when the target is illuminated by several overlapped beams, thus there are correlativities among the delay-Doppler cells obtained by these beams. Nevertheless, traditional processing makes little use of the correlativities. It´s feasible to utilize these correlativities in tracking to improve the estimation performances. In this paper, the correlativities are first modeled statistically and then the potential benefits in tracking are evaluated by Cramer-Rao Low Bound (CRLB). The tracking CRLBs are compared with that of traditional tracking scheme, and the simulation results show that the improvement to tracking performances is marked.