Multitarget Tracking Studies

摘要

This report presents the results of Phase II of an investigation of a new concept for tracking multiple targets. This concept is based on parametric modeling of the observed data. The recursive maximum likelihood algorithm was used to estimate the parameters of an ARMA model. The single channel version of the algorithm was used as an adaptive IIR filter. The algorithm was applied to: adaptive line enhancement, adaptive noise cancelling, high resolution spectral estimation, time delay estimation, and adaptive deconvolution. The multichannel version of the algorithm was used to estimate TDOAs and spectral parameters of multiple targets. Results based on simulations using synthetic data are persented. (Author)