测控技术2026，Vol.45Issue(5)：52-58,7.DOI:10.19708/j.ckjs.2026.05.304
交互多模型与简单凸组合下的多传感器融合算法
Multi-Sensor Fusion Algorithm Under Interacting Multiple Model and Simple Convex Combination
摘要
Abstract
Aiming at the problems of low tracking accuracy and poor robustness in single-sensor systems,a multi-sensor information fusion algorithms is investigated to improve the performance of maneuvering target state estimation.Segmented motion models,namely,the constant velocity(CV),constant acceleration(C A),and constant turning(CT)models,are adopted to simulate target maneuvers.By integrating the interacting multiple model(IMM)algorithm with Kalman filtering(KF),nonlinear estimation under a single sensor is achieved.Fur-thermore,the simple convex combination(SCC)algorithm is employed to fuse the local estimation results from multiple sensors,with a focus on addressing challenges such as adaptive model matching and consistent fusion of multi-source information.Simulation results demonstrate that the proposed algorithm significantly enhances estimation accuracy,tracking stability,and system robustness.By combining segmented multi-model modeling with IMM adaptive filtering,the characterization of complex maneuvers is improved,and the SCC fusion strategy is adopted to reduce computational complexity while maintaining accuracy,thereby providing an effective solu-tion for engineering applications.关键词
多传感器融合/卡尔曼滤波/交互多模型/简单凸组合/数据估计Key words
multi-sensor fusion/KF/IMM/SCC/data estimation分类
信息技术与安全科学引用本文复制引用
米未娜,王楠,苟丹丹,吴宏岐..交互多模型与简单凸组合下的多传感器融合算法[J].测控技术,2026,45(5):52-58,7.基金项目
陕西省教育厅2025年度服务地方专项科学研究计划项目(产业化培育项目)(25JC084) （产业化培育项目）
陕西省科学技术厅2025年度科技计划项目(2025CY-YBXM-112) （2025CY-YBXM-112）
