Radar Target Distance As Identification Method

The low-resolution guard-radar and tracking-radar are made use of detection and measure on the modern battle field usually. Detecting targets and measuring the parameters (location parameters and movement parameters) of targets are the basic roles of radars by far. However, as the speedy development of science and technology, and the especial requirements of anti-missile weapon systems, the target-condition of radar has been becoming complicated increasingly. At the same time, it raises same new tasks to radars, which are target-characteristic-measuring and target-classifying. Therefore, Radar Target Recognition (types, properties, amount, true and false of targets) has become a most important scientific problem which is been researching by most important military countries on the world. The automatic radar target recognition system, which is one of the key components of present and future defense weapon systems, is widely and intensively focused by all of the countries. The scattering information collected by the different radars is different. The range profile can be formed by high-range resolution radar (HRR). The range profiles of the targets contain more information for recognition than the radar cross section (RCS). Some methods of radar target recognition are intensively and extensively studied in this paper.The main contents and new ideas include: Firstly, it gives a survey on the radar target recognition and takes a brief introduction to the foundational of radar target recognition. After introducing the characteristics and classic simulation method of high resolution radar clutter, a neural network type empirical iteration method and a neural network Trained by natural gradient algorithm is proposed to simulate correlated non-Gaussian radar clutter by zero-memory nonlinearities (ZMNL). Radar target recognition by a logarithm bispectrum-based method is simulated and studied. It is discovered that the more test samples that generate the sub-range profile of logarithm of averaged bispectrum are, the higher recognition rate is. And using phase information is a key to obtaining high recognition rate. Radar high-resolution range profile is very sensitive to target-aspect variation. In this paper, dynamic aspect warping is presented to tackle this aspect sensitivity for high resolution range profile radar target recognition. Experimental results of the proposed method for real-life ISAR data target recognition and their comparison with the RBF and the MCC-TMM method indicate effectiveness and efficiency of the proposed method.