Identification of projectile targets with periodic micro movements using micro Doppler effect in radio waves

One of the physical phenomena used in radar systems to identify and classify moving targets is the Doppler Effect. During this Effect, the frequency of the radio wave reflected from a moving object will be different from the frequency of the incident wave. One of the challenges in the case of moving targets with projectile motion is the detection of separated parts (such as fuel tank, engine, etc.) from the main target (warhead). Since the warhead has micro-movements in the final stages of movement and these micro-movements produce alternating micro-Doppler components, it is possible to identify the main target from the false targets by revealing and examining these micro-Doppler effects. In this article, with the help of simulating a radar signal caused by a ballistic target, after compensating the speed and acceleration by Radon contrast transform, the micro-Doppler is extracted due to the micro-movements of the conical and rotational movements of the main target. After that, by using the time-frequency method of short Fourier transform, the target micro-Doppler is extracted in different signal-to-noise ratios. The simulations show the effectiveness of the proposed method in identifying targets with micro-movements from other moving targets.

کلیدواژه ها:

Periodic micro-movements ، micro-Doppler ، time-frequency transformation ، contrast Radon transform