Abstract: Aiming at the influence of the interference measurement to multistatic measurement fusion for underwater small targets, the multistatic measurement fusion algorithm based on resample is proposed. The random samples which are obtained by resample approximate probability density distribution. Finally, the equivalent measurement in multistatic system is obtained following fusion process of the random samples. The simulation test and performance analysis are conducted. The increase of interference measurement density leads the reduction of the fusion accuracy and the increase of the operating time, while the increase of grid number improves fusion accuracy and increases operating time. Then the algorithm is utilized for the data processing of realistic experiment. The results show that the multistatic measurement fusion algorithm based resample process yields more precision equivalent measurement of the least root mean square error in statistical sense comparing with the fused measurement of monostatic sonar. The algorithm provides more reliable data for the centralized fusion tracking of underwater small targets.

Key words: multistatic system, small underwater target, resample, measurement fusion

摘要： 针对干扰量测对水下小目标多基地量测融合的影响，提出了基于重采样的多基地量测融合算法。重采样的随机样本近似概率密度分布，经随机样本的融合，最终得到多基地等效量测。对算法进行了仿真验证和性能分析，干扰量测密度的增加导致融合精度的下降、运行时间的增加，栅格数目的增加导致融合精度的提高、运行时间的增加。并将算法用于实验数据处理。结果表明，相比于单基地声纳的观测，经基于重采样的量测融合算法求得的等效量测的均方根误差在统计意义上最小，为水下小目标的融合跟踪提供可靠的数据。

关键词: 多基地系统, 水下小目标, 重采样, 量测融合