Affiliation:
1. Key Laboratory of Intelligent Information Processing and Control, Chongqing Three Gorges University, Chongqing, Wanzhou 404100, P. R. China
Abstract
To overcome the disadvantages of the traditional power inversion algorithm, which has obvious suppression effect on strong interference signals but unobvious effect on suppression of weak interference signals, a matrix decomposition method is proposed to extract the interference sub-matrix and noise sub-matrix, so that the power inversion algorithm can be adopted to weaken and filter out the signals in the case of weak interference. Through the optimized power inversion algorithm, the interference signal can be weakened obviously at the antenna receiving end, and the quality of the effective signal received by the antenna can be improved significantly. Afterwards, the algorithm was used to carry out MATLAB simulation in space based on the anti-jamming performance of different array models, which determined the anti-jamming antenna array structure as a uniform matrix and optimized the array structure. The simulation results show that the optimized power inversion algorithm can filter strong and weak interference better, and the anti-jamming performance is better under different array models and two kinds of interferences. Through comparative analysis, it is concluded that the four elements have the best interference suppression effect in uniform circular array structure, which provides an important reference for the selection of antenna array in adaptive interference suppression hardware structure. At the same time, the BeiDou four-element adaptive circular array antenna, as an important part of intelligent geological disaster monitoring and early warning system, has good anti-jamming ability.
Publisher
World Scientific Pub Co Pte Lt
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software