Target Recognition Based on the Self-Correlation Function of HRRP

The theoretical result shows that the self-correlation function not only has the time-shift invariant feature, but also largely reduces the computational work. To overcome the sensitivity of High-Resolution Range Profile(HRRP), this paper has extracted the self-correlation function of HRRP as a feature for target recognition. Templates and test data are created by using the measured data of sea targets. The results of comparison among the self-correlation function feature, the original range profiles and the amplitude spectrum feature show that the self-correlation function feature has higher recognition efficiency and better anti-noise performance.