Microstrip Antenna Radar Scattering Cross Section Reduction Research

In this thesis, the methods of reducing the radar cross section (RCS) of microstrip antennas are analyzed and discussed. The RCS of antennas are reduced in a wide frequency band (2GHz-8GHz) at multi-angles while antennas hold the satisfying radiation performance. The author’s main contributions are summarized as follows:1. The research of the microstrip antenna’s RCS reduction are descripted and all methods are classified.2. A C-shaped patch antenna, a slot antenna and a U-shaped slot antenna with resistance-loaded technique are designed, respectively. To a certain extent, the RCS reduction of antennas is obtained.3. A universal and effective optimized method is proposed. The genetic algorithm (GA) is employed to the design of low RCS patch antennas. Combined with the HFSS for antenna simulations, the GA performs the optimization of geometric parameters. The whole design procedure is auto-controlled by programming the Vbscript in the HFSS. Two examples of designing low RCS slot antennas are provided to verify the accuracy and efficiency of the proposed method.4. In order to improve the efficiency of the overall design process, a hybrid optimization algorithm, which combines GA with tabu list, is introduced to design and optimize low RCS patch antennas. The tabu list, which is embedded in GA describes the features of individuals, defines the acceptable neighborhood region of parameters and screens out the poor-scoring individuals. Thus, the amount of time-consuming electromagnetic simulations is largely reduced. Two patch antenna examples are provided to verify the accuracy and efficiency of the proposed method.