Research Article
Research on Intelligent Detection Method of Weak Sensing Signal Based on Artificial Intelligence
@INPROCEEDINGS{10.1007/978-3-030-36405-2_10, author={Shuang-cheng Jia and Feng-ping Yang}, title={Research on Intelligent Detection Method of Weak Sensing Signal Based on Artificial Intelligence}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Artificial intelligence method Wireless sensor network Weak sensing signal Intelligent detection}, doi={10.1007/978-3-030-36405-2_10} }- Shuang-cheng Jia
Feng-ping Yang
Year: 2019
Research on Intelligent Detection Method of Weak Sensing Signal Based on Artificial Intelligence
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_10
Abstract
In order to improve the detection and recognition ability of weak sensing signal, an intelligent detection algorithm of weak sensing signal based on artificial intelligence algorithm is proposed. The weak sensing signal model is constructed, the weak sensing signal is separated and processed adaptively, the scale and delay of the weak sensing signal are estimated adaptively, and the high resolution spectral features are extracted. The extracted spectral feature is studied adaptively and detected intelligently by artificial intelligence algorithm, and the spectral peak search of weak sensing signal is realized. The spectral feature component method is used to realize the interference suppression of weak sensing signals, thereby improving the detection of the method. The simulation results show that the algorithm has high accuracy and anti-interference ability, and improves the detection and recognition ability of weak sensing signal.
