Translator Disclaimer
25 August 2004 Out-of-sequence track filtering using the decorrelated pseudo-measurement approach
Author Affiliations +
Most practical multi-platform data fusion systems use the distributed tracking architecture where each sensor platform has its own local tracker. A local tracker performs tracking using measurements from one or more sensors and sends its track data to a central fusion system. When the track data from a local tracker is transmitted to the central fusion system using a communication network, the track data can arrive out-of-sequence due to random delays in the communication network and different processing times at local trackers. Track-to-track fusion using the equivalent decorrelated pseudo-measurement approach is an efficient algorithm for the distributed tracking problem. In this paper, we use an existing multiple-lag out-of-sequence measurement (OOSM) algorithm and the decorrelated pseudo-measurement approach for track-to-track fusion of out-of-sequence track (OOST) data. We present numerical results using simulated data for a scenario where a global tracker processes track data from two local trackers. Each local tracker processes two-dimensional position and velocity measurements from a single sensor. We use Monte Carlo simulations to evaluate the performance of the algorithm.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mahendra Mallick, Steven Schmidt, Lucy Y. Pao, and K. C. Chang "Out-of-sequence track filtering using the decorrelated pseudo-measurement approach", Proc. SPIE 5428, Signal and Data Processing of Small Targets 2004, (25 August 2004);


Back to Top