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基于级数展开的位置误差加权定位方法

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随着对海洋探索的愈加深入,对水下目标探测能力的要求也愈发严格.针对噪声干扰严重时算法性能大幅度下降的问题,文章主要研究仅利用分布式矢量水听器的波达方向信息对未知目标进行融合定位.在已有的基于位置误差加权方法的基础上,利用几何二次约束减小波达方位角量测误差,并结合泰勒级数展开,将一阶权值推导至高阶,解决在低信噪比情况下定位精度差的问题.仿真结果表明:相对于传统的基于方差倒数的自适应加权算法,该方法在定位精度上有很大提高,尤其在低信噪比的情况下效果显著.
A Position Error Weighted Localization Method Based on Series Expansion
With the deepening of ocean exploration,the requirements for underwater target detection capability are be-coming increasingly strict.In response to the problem of significant decline in algorithm performance under severe noise interference,the fusion localization of unknown targets using only the direction of arrival information of distributed vec-tor hydrophones is studied.On the basis of existing position error weighting methods,geometric quadratic constraints are used to reduce the measurement error of wave arrival azimuth,and the first-order weight is derived to a higher order by combining Taylor series expansion,solving the problem of poor positioning accuracy in low signal-to-noise ratio situa-tions.The simulation results show that compared to traditional adaptive weighting algorithms based on reciprocal vari-ance,the proposed method has a significant improvement in positioning accuracy,especially in low signal-to-noise ratio situations.

geometric constraintsTaylor seriesvector hydrophonefusion positioninglow signal-to-noise ratio

蔡傲潮、莫世奇、陈峰、姚晔东

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哈尔滨工程大学水声技术重点实验室,黑龙江 哈尔滨 150001

哈尔滨工程大学海洋信息获取与安全工信部重点实验室,黑龙江 哈尔滨 150001

哈尔滨工程大学水声工程学院,黑龙江 哈尔滨 150001

几何约束 泰勒级数 矢量水听器 融合定位 低信噪比

国家自然科学基金国家自然科学基金国家自然科学基金黑龙江省博士后科学基金黑龙江省自然科学基金优秀青年基金中央高校基本科研业务费专项中国博士后科学基金

522713435227134262301179LBH-Z22103YQ2023D0083072023CFJ05032023M730828

2024

海军航空大学学报
海军航空工程学院科研部

海军航空大学学报

CSTPCD
影响因子:0.279
ISSN:
年,卷(期):2024.39(3)