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Model-Set Design for Multiple-Model Estimation - Part I
Optimal Linear Estimation Fusion - Part V: Relationships
P1 Model-Set Design for Multiple-Model Method - Part II: Examples
Performance Enhancement of the IMM Estimation by Smoothing
S2 Optimal Update with Out-of-Sequence Measurements for Distributed Filtering
S3 Optimal Linear Unbiased Filtering with Polar Measurements for Target Tracking
S14 Fault-Tolerant Interval Estimation Fusion By Dempster-Shafer Theory
SPRT-Based Track Confirmation and Rejection