Abstract | ||
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In order to solve the problem that imaging is greatly disturbed by noise in the application of TKIS series helmet-mounted colorful imaging sonar, anti-noise ability research was conducted on three imaging methods commonly used in imaging sonar systems. In this paper, based on TKIS series helmet-mounted colorful imaging sonar system, the traditional fast Fourier transform (FFT) method, orthogonal-demodulation-based method and linear frequency modulation (LFM) cross-correlation method were used for comparative analysis of anti-noise capability. The imaging experiment of the traditional FFT method has been completed, and the imaging experiment of the other two methods will be completed in the future. The results show that the orthogonal-demodulation-based method has strong noise suppression ability in all scopes of the system, and is more suitable for the upgrade of TKIS series helmet-mounted colorful imaging sonar system. |
Year | DOI | Venue |
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2020 | 10.1109/ICSPCC50002.2020.9259472 | 2020 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2020) |
Keywords | DocType | Citations |
colorful imaging sonar, anti-noise ability, FFT, orthogonal-demodulation-based method, LFM cross-correlation method | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jingli Wang | 1 | 0 | 0.68 |
Jing Wang | 2 | 0 | 0.68 |
Xiangkai Jia | 3 | 0 | 0.68 |
Wenjiao Shan | 4 | 0 | 0.68 |
Jing Guan | 5 | 0 | 0.34 |