Micro‐Doppler characteristics of streamlined ballistic target

Abstract

Micro-Doppler (mD) characteristics of the ballistic targets have attracted great attention due to the potential in target discrimination. However, current investigations mainly focus on blunt-nosed cone and cone-cylinder-shaped targets. In practical applications, ballistic targets are always designed as the streamlined shape due to smaller aerodynamic resistance and lower detectability. In this Letter, the mD characteristics of streamlined ballistic targets are analysed. Owing to the unique mD signatures, the sliding scattering centre induced by the reflection from the streamlined curved surface is particularly focused. Finally, simulation results via the electromagnetic computation verify the correctness of the analysis.

Micro-Doppler characteristics of rough cone space target

“…When the CST surface is perfectly smooth, the location of two types of scattering centers located at the CST top and bottom edge is consistent with the analysis in Ref. [11,12]. When the surface roughness is considered, the scattering centers are continuously distributed on the CST surface due to the diffuse reflection of the EM wave.…”

Micro-Doppler-Based Space Target Recognition with a One-Dimensional Parallel Network

“…In particular, point A is fixed on the top of the warhead, which can be assumed as a localized scattering center. Points B and C are located at the edge of warhead, that is, the position of points B and C slides with the movement of the target [9], which can be considered as SSCE. According to [19], the m-D distance of each scattering point can be expressed as follows: where t is the time variable, r is the radius of the target bottom, h 1 and h 2 are the distances from the top of the cone to the center of the mass and from the center of the mass to the center of the bottom, respectively.…”

“…According to the theory of electromagnetic scattering, the electromagnetic characteristics of the space target are approximately equal to the sum of some scattering centers at high frequencies. In [9], the scattering center is divided into localized scattering centers (LSC), distributed scattering centers (DSC), sliding-type scattering centers generated by edge diffraction (SSCE), and sliding-type scattering centers on the space target curved surface (SSCS).…”

Feature Extraction of Micro-Motional Targets Via Time-Range Distribution

“…Then, the peak value of the correlation matrix C ( t, r) should appear at n•T w , which denotes n times of the wobbling period. Because (18) utilizes all profiles for the correlation calculation, the false peak values that appear in (14) are greatly reduced compared with the correlation method of the single range profile. Thus, its robustness is improved.…”

“…This precession feature has been used for spatial target recognition, and many effective methods for precession feature extraction have been proposed and validated by experimental data [6]- [10]. In recent years, characteristics analysis, feature extraction and recognition of wobbling targets have gained worldwide attention [11]- [14]. The current wobbling micro-motion models are mainly based on the localized scattering center model which assume the scattering center location remains unchanged with the line of sight (LOS) varying.…”