Optimization Analysis and Design of Electromagnetic Matching Characteristics of Nano Radar Wave Absorbing Materials Based on Computational Intelligence

Abstract

Nanometer radar wave absorbent is a new type of absorbent with great development prospect, which has important application demand in radar wave application. However, there are great differences in the practical application effects of different nano-radar wave absorbing materials, so it is necessary to optimize and analyze these differences, and the emergence of computational intelligence technology supplements this work. One of the great advantages of computational intelligence is that it does not rely on the correct model of the system when dealing with performance issues, and is affected by a variety of organisms and biota through algebraic methods. The high-level intelligent system with strong cognitive behavior awareness makes each algorithm have the characteristics of parallelism, social behavior, unit intelligence, openness and so on. Based on computational intelligence, this study analyzes the electromagnetic matching characteristics of nano-radar absorbing materials and concludes that: (1) An absorber cell structure with a tunable interface is designed using the tunable FSS bandpass to replace the previous fixed FSS bandpass. The results show that the transmission rate can be adjusted in a certain range and the input loss is low. Meets the design requirements of a customizable absorber. (2) In order to improve the impact force of nano-absorbing materials, it is necessary to analyze the similarities and differences with others, and process the life information after identification. The improved computational intelligence model can extract and analyze the information efficiently and quickly. (3) Under the same thickness of the design, the single-layer fabric has higher electric wave intensity, but the frequency band is narrower, while the double-layer fabric has higher electric wave input bandwidth. Electrical carbon black can be filled with magnetic nanomaterials to enhance radio wave performance. The composite material has very good electric wave mixing performance, and the polar grinding composite nano material is very suitable for improving the magnetic property and the uniformity of the carbon black particles. (4) For a particular secondary channel, consider using a fast numerical algorithm to optimize the path based on the curvature of the key channel. Proper planning in a robotic approach can not only perform the required tasks efficiently, but also improve performance, reduce workload, and extend the lifetime of the robot.