火力与指挥控制2007，Vol.32Issue(8)：40-43,4.
舰艇编队多声纳数据融合
The Research of Multi-Sonar Data Fusion in Naval Fleet
摘要
Abstract
With analysis of Kalman Filter (KF) and Adaptive Kalman Filter (AKF),the capability between them is compared by simulation experiments.Considering the measurement properties of different sonar and the underwater targets' characteristics,the data fusion method of naval fleet is proposed.Choose the simple convex-combination algorithm as the track fusion algorithm in naval fleet cooperative anti-submarine,comparing and researching the fusion result of multi-sonar and the simple cross-orientation.The simulation result presents that AKF is better at targets tracking than KF,meanwhile,multi-sonar data fusion is better than simple cross-orientation,and the track of data fusion is fit well for the real.关键词
舰艇编队/声纳/数据融合/卡尔曼滤波/自适应卡尔曼滤波Key words
naval fleet/sonar/data fusion/kalman filter/adaptive kalman filter分类
信息技术与安全科学引用本文复制引用
刘雄,康凤举,张林芳..舰艇编队多声纳数据融合[J].火力与指挥控制,2007,32(8):40-43,4.基金项目
水下信息处理与控制国家重点实验室基金资助项目(51448080105ZS2601) （51448080105ZS2601）
