Target Identification Technology of Millimeter-Wave Radar Based on Feature Template

Millimeter-wave radar high-resolved one-dimensional distance image (HRRP) provides information about the target longitudinal length (with significant back scattering parts) and the location of strong scattering points, such as the armored target barrel, tracks, and other strong scattering centers. Reflecting the target size, shape, and electrical performance feature information, which forms the basis of HRRP target identification. After obtaining HRRP features, how to maximize the distinction of different targets and improve the target recognition rate is the problem to be solved by the identifier design. Therefore, how to design the appropriate target classification according to the target features determines the target recognition performance of the whole system. According to the characteristic analysis of HRRP, solving the orientation, translation and intensity sensitivity of high resolution distance image sample is the basis of radar high resolution distance image target recognition, which runs through every link in the target recognition process, and is also a problem that must be considered in the identifier design of the radar. Therefore, this paper first introduces the general idea of HRRP template matching target identification, and then expounds the specific classifier principle and classification method. On this basis, the target electromagnetic simulation data is used to verify various classification methods.