Bayesian radar data cube processing and syntactic tracking

Bhashyam Balaji

doi:10.1117/12.883531

5 May 2011 Bayesian radar data cube processing and syntactic tracking

Bhashyam Balaji

Proceedings Volume 8050, Signal Processing, Sensor Fusion, and Target Recognition XX; 80500Z (2011) https://doi.org/10.1117/12.883531
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

The output of a GMTI tracker (such as the VS-IMM) over an extended period of time can be viewed as generating a string sequence (namely the mode sequence) that defines the trajectory. In previous work, it was demonstrated with real data that the target trajectory could be (probabilistically) parsed in real-time, assuming any string sequence output from the tracker could arise only from a stochastic context-free grammar (SCFG). In this paper, an GMTI data processing chain, with a view towards the application to syntactic parsing, is presented. An emphasis is placed on the Bayesian formualtions, which provides a unified description of the processing algorithms.

Citation Download Citation

Bhashyam Balaji "Bayesian radar data cube processing and syntactic tracking", Proc. SPIE 8050, Signal Processing, Sensor Fusion, and Target Recognition XX, 80500Z (5 May 2011); https://doi.org/10.1117/12.883531

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