Through-Wall Multistatus Target Identification in Smart and Autonomous Systems With UWB Radar

Ultra-wideband (UWB) radar technology is a key technology in the field of target recognition, which is characterized by high resolution and strong anti-interference ability. In this paper, the ultra-wide bandwidth radar equipment is used to identify the multistatus human being after the brick wall by the fuzzy pattern recognition and genetic algorithm. First, The main characteristic parameters are selected and extracted from the received signal, and each feature parameters corresponding to a submembership function. Then, through the genetic algorithm to optimize the submembership function for constructing the membership function set. Last, According to fuzzy pattern recognition principle of maximum degree of membership function to establish target prediction function, and used MATLAB to carry on the simulation for it. The results show that the fuzzy pattern recognition can efficiently discern the multistatus human being behind the wall.