Coherent and Noncoherent Joint Processing of Sonar for Detection of Small Targets in Shallow Water
AbstractA coherent-noncoherent joint processing framework is proposed for active sonar to combine diversity gain and beamforming gain for detection of a small target in shallow water environments. Sonar utilizes widely-spaced arrays to sense environments and illuminate a target of interest from multiple angles. Meanwhile, it exploits spatial diversity for time-reversal focusing to suppress reverberation, mainly strong bottom reverberation. For enhancement of robustness of time-reversal focusing, an adaptive iterative strategy is utilized in the processing framework. A probing signal is firstly transmitted and echoes of a likely target are utilized as steering vectors for the second transmission. With spatial diversity, target bearing and range are estimated using a broadband signal model. Numerical simulations show that the novel sonar outperforms the traditional phased-array sonar due to benefits of spatial diversity. The effectiveness of the proposed framework has been validated by localization of a small target in at-lake experiments. View Full-Text
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Pan, X.; Jiang, J.; Li, S.; Ding, Z.; Pan, C.; Gong, X. Coherent and Noncoherent Joint Processing of Sonar for Detection of Small Targets in Shallow Water. Sensors 2018, 18, 1154.
Pan X, Jiang J, Li S, Ding Z, Pan C, Gong X. Coherent and Noncoherent Joint Processing of Sonar for Detection of Small Targets in Shallow Water. Sensors. 2018; 18(4):1154.Chicago/Turabian Style
Pan, Xiang; Jiang, Jingning; Li, Si; Ding, Zhenping; Pan, Chen; Gong, Xianyi. 2018. "Coherent and Noncoherent Joint Processing of Sonar for Detection of Small Targets in Shallow Water." Sensors 18, no. 4: 1154.
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