An Optimized Weak Target Recognition Method Based on Transform Domain with Strong Background Noise

Abstract

In recent years, numerous scholars have studied how to detect weakly maneuvering targets under strong background noise and strong jamming with frequency modulated continuous wave (FMCW) radars. The realization of this technology can produce profound civil value. However, in order to effectively and clearly detect the target, it is necessary to overcome the difficulty of detecting the target energy in a complex environment. To address the difficulties of detecting weak target with strong background noise, this study presents a novel target recognition algorithm based on the coupling relationship among the velocity, range walk, and Doppler frequency of the weak target. The improved Hough Transform method cannot only realizes the transformation of a line from image coordinate system to parametric coordinate system of the weak target with background noise, but also achieve a large degree of accumulation of weak target energy. It is shown that the proposed method is able to achieve better performance compared with the existing schemes in weak target recognition. In addition, the energy of the detected target is more concentrated based on the method proposed in this study.