Xionghou Liu

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About

Xionghou Liu is a leading researcher in underwater acoustic imaging, specializing in high-resolution sonar systems for small autonomous platforms. His work focuses on overcoming the fundamental trade-off between array aperture size and imaging resolution, particularly for space-constrained vehicles like underwater unmanned vehicles (UUVs) and underwater robots. Liu’s major contributions include pioneering the application of the Fourier Integral Method (FIM) to MIMO (Multiple-Input Multiple-Output) sonar arrays, enabling 2D and 3D forward-looking imaging with significantly reduced hardware complexity. His 2019 paper on high-resolution 2D imaging using MIMO sonar with FIM (4 citations) demonstrates how to achieve superior angle resolution without physically enlarging the receiving array—a critical breakthrough for compact underwater platforms. In parallel, his work on MIMO sonar arrays for 3D forward-looking imaging (2 citations) addresses the prohibitive cost of traditional planar or volumetric hydrophone arrays by drastically reducing the number of required hydrophones while maintaining volumetric target information. Liu’s research directly enables practical, cost-effective sonar systems for real-time underwater navigation, obstacle avoidance, and target identification, making him a key innovator in the field of autonomous underwater sensing.