| This dissertation is an important part of the Tenth Five-year National defense preparatory Plan. It systematically analyzes and studies the application of inverse Fourier transforms and wavelet transforms in the signal processing of interpulse stepped frequency radar returns, which adopts advanced interpulse stepped frequency high resolution radar technology and is based on multitude scattering center theory. The kinds of experiment are simulated by computer, pleased results are achieved.Furthermore, the problems of feature extraction and object identification in the objection identification system are studied systematically in the dissertation. We extract object frame character parameters form phase character of radar returns by adopting TPR method. And then, being based on these frame character parameters, relevant identification methods are studied. The kinds of experiment are simulated by computer, pleased results are achieved.In the end, according to preciously discussed theories and methods, an applied character parameter extraction circuit is designed, which is valuable. |
