Graduate Thesis Or Dissertation
 

Passive source tracking from spatially correlated angle-of-arrival data

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/nz806302m

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  • This thesis presents a simulation technique for the post-detection of a point-source trajectory in an isotropic, stationary random medium. The two-dimensional source location is estimated from spatially correlated angle-of-arrival data which are collected simultaneously at two sensor positions. We assume that the data are collected at discrete, constant time intervals and consist of true (unbiased) source angles plus zero-mean, spatially correlated angular white noise with equal time- and direction-independent variances at both sensors and negligible higher moments. Smoothing of the tracking data by means of an asymmetric smoothing technique gives an optimum source trajectory estimate provided that, for the duration of the smoothing time interval, the source travels at constant (but unknown) speed along a trajectory having constant (but unknown) radius of curvature. A mathematical model based on these assumptions is developed for this configuration and tested by simulation. For a limited range of angular noise variance we achieve good agreement between theory and simulation for cases of negative and positive spatial correlation, as well as for the uncorrelated case. In this thesis we first examine the case of a nonmoving source and then apply the results to the general trajectory estimation of a moving target, testing the new smoothing technique and comparing it with an extended Kalman filtering technique.
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