A generalized information matrix fusion based heterogeneous track-to-track fusion algorithm

Xin Tian; Yaakov Bar-Shalom; Ting Yuan; Erik Blasch; Khanh Pham; Genshe Chen

doi:10.1117/12.883501

5 May 2011 A generalized information matrix fusion based heterogeneous track-to-track fusion algorithm

Xin Tian, Yaakov Bar-Shalom, Ting Yuan, Erik Blasch, Khanh Pham, Genshe Chen

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 805015 (2011) https://doi.org/10.1117/12.883501
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

The problem of Track-to-Track Fusion (T2TF) is very important for distributed tracking systems. It allows the use of the hierarchical fusion structure, where local tracks are sent to the fusion center (FC) as summaries of local information about the states of the targets, and fused to get the global track estimates. Compared to the centralized measurement-to-track fusion (CTF), the T2TF approach has low communication cost and is more suitable for practical implementation. Although having been widely investigated in the literature, most T2TF algorithms dealt with the fusion of homogenous tracks that have the same state of the target. However, in general, local trackers may use different motion models for the same target, and have different state spaces. This raises the problem of Heterogeneous Track-to-Track Fusion (HT2TF). In this paper, we propose the algorithm for HT2TF based on the generalized Information Matrix Fusion (GIMF) to handle the fusion of heterogenous tracks in the presence of possible communication delays. Compared to the fusion based on the LMMSE criterion, the proposed algorithm does not require the crosscovariance between the tracks for the fusion, which greatly simplify its implementation. Simulation results show that the proposed HT2TF algorithm has good consistency and fusion accuracy.

Citation Download Citation

Xin Tian, Yaakov Bar-Shalom, Ting Yuan, Erik Blasch, Khanh Pham, and Genshe Chen "A generalized information matrix fusion based heterogeneous track-to-track fusion algorithm", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 805015 (5 May 2011); https://doi.org/10.1117/12.883501

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