| 单泽彪,郭靖豪,刘小松,孙煜旗,白昱.基于最优四基阵的被动式声源定位估计[J].电子测量与仪器学报,2024,38(5):56-63 |
| 基于最优四基阵的被动式声源定位估计 |
| Passive sound source localization estimation based on optimal four-base array |
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| DOI： |
| 中文关键词: 被动式声源定位 脉冲噪声 最优四基阵 到达时差估计 |
| 英文关键词:passive sound source localization impulse noise optimal four-base array time difference of arrival estimation |
| 基金项目:吉林省自然科学基金项目（YDZJ202301ZYTS412）、吉林省教育厅科学技术项目（JJKH20240938KJ）、吉林省教育厅产业化培育项目（JJKH20240940CY）资助 |
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| Author | Institution |
| Shan Zebiao | 1.School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China;
2.Changchun Meteorological Instrument Research Institute, Changchun 130102, China |
| Guo Jinghao | School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China |
| Liu Xiaosong | School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China |
| Sun Yuqi | School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China |
| Bai Yu | School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China |
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| 中文摘要: |
| 针对现有被动式声源定位算法测量精度低、适用范围小等问题，提出了一种基于最优四基阵的被动式声源定位估计方法。该方法通过构建最优四基阵阵列结构以实现多阵元点共用，旨在使用较少的阵元总量实现对目标声源的融合定位估计，从而提高定位精度。并就该阵列模型确定空间目标定位方程组，将求解位置坐标问题转换为求解阵元点之间时延差值问题。进而采用二次分数低阶协方差算法求解脉冲噪声环境下的相应阵元间时延差值，即求得阵元信号的自分数低阶协方差和两阵元间信号的互分数低阶协方差之后，再次计算二者的互分数低阶协方差，以期更大程度上抑制脉冲噪声的影响，提高时延差值估计精度；最终将求得的时延估计信息带回定位方程组已实现对空间声源的定位估计。通过数值仿真和实测实验验证了所提方法的可行性及阵列结构的优越性。在实测实验中对声源定位估计误差仅为0.085 1 m，表明所提方法能较高精度的实现脉冲噪声环境下的声源定位，拓展了被动式声源定位算法的应用场景，具有一定的实际应用价值。 |
| 英文摘要: |
| Addressing the challenges of low measurement accuracy and restricted applicability range in existing passive sound source localization algorithms, this paper proposes a passive sound source localization estimation method based on an optimal quadruple-array. This method constructs an optimal quadruple-array structure to enable multi-element point sharing, aiming to achieve fusion localization estimation of the target sound source with a reduced total number of elements, thereby enhancing localization accuracy. Spatial target localization equations are derived from the array model, transforming the problem of solving position coordinates into that of determining time delay differences between array elements. Subsequently, a second-order fractional low-order covariance algorithm is employed to resolve the corresponding time delay differences between array elements in an impulse noise environment. After obtaining the self-fractional low-order covariance of array signals and the mutual-fractional low-order covariance between two array elements, the mutual-fractional low-order covariance of both is recalculated to further mitigate the impact of impulse noise and improve time delay estimation accuracy. Finally, the obtained time delay estimation information is incorporated back into the localization equation set to achieve localization estimation of spatial sound sources. The feasibility of the proposed method and the superiority of the array structure are validated through numerical simulations and field experiments. In the field experiments, the estimation error of sound source localization is only 0.085 1 meters, demonstrating the method’s capability to achieve high accuracy in sound source localization under impulse noise environments. This work extends the application scenarios of passive sound source localization algorithms and holds practical application value. |
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