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一种多波束声呐的小波变换自适应波束增密方法

A wavelet transform adaptive method to increase beam density for multi-beam sonar

  • 摘要: 多波束声呐系统测量水下复杂地形时,常因波束稀疏而导致测量精度下降、细节信息丢失。传统波束增密方法能够提高测量精度,但需要人工判别增密区域,难以满足大海域连续测绘作业需求。文章提出一种多波束声呐的小波变换自适应波束增密方法。该方法采用可编程门阵列和高级精简指令集组合而成的单芯片异构处理器方案,在高级精简指令集对前帧地形数据进行小波分析,获得下一帧预增密区域,再通过可编程门阵列对预增密区域进行局部波束增密。经水池及自然水域初步实验验证,表明该方法可行,可实现水下复杂地形的自适应高精度测量,在水下探测和资源勘探等方面应用前景良好。

     

    Abstract: During the process of complex terrain surveying, the sparse distribution of beams in multibeam echosounders (MBES) will result in decreased measurement accuracy and loss of detailed information. Traditional beam interpolation methods can improve measurement accuracy, but they require manual identification for encryption areas, which is challenging for continuous surveying operations in large sea areas. In this article, a wavelet transform adaptive method to increase beam density for multi-beam sonar is proposed. The method utilizes a single-chip heterogeneous processor scheme consisting of FPGA+ARM. It performs wavelet analysis on the previous frame’s terrain data at the ARM end to obtain the pre interpolated area for the next frame. Subsequently, local beam encryption is conducted on this pre interpolated area using FPGA. Experimental data from tanks and natural water bodies demonstrate that this approach enables adaptive high-precision measurements of complex underwater terrains. The method holds promising applications in underwater detection and resource exploration.

     

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