Abstract:
Three important problems have been discussed in this thesis in detail. First, the problem of
tracking is considered when poor and noisy measurements at receiver are available. Secondly,
there is a need for predicting target location when observations are not available for long time
i.e. when targets are not illuminated by the radar antenna. And thirdly, the most important
problem of tracking single or multiple targets in the presence of clutter using PDAF or JPDAF
algorithm respectively is discussed. Special problem of data outage for long time may arise due
to limited resources, e.g. an Omni‐directional antenna rotating 3600 illuminates target for small
interval of time, during illumination, any optimal or suboptimal estimator may be used to
mitigate the noise and estimate a fine three dimensional position of the target. But when the
target is out of sight as discussed in chapter 2 of this thesis, prediction technique must be
applied for speculating target three dimensional location. Computer simulation results
regarding above mentioned three problems including the special case of long time data outage
are shown in this thesis. Three dimensional tracking of single and multiple targets in the clutter
via PDAF and JPDAF respectively is one of the major works in this thesis. Moreover this thesis
gives comprehensive details on detection theory, parameter estimation, state‐space recursive
LS, Kalman Filter, estimation of states in the existence of data association uncertainty, pure
MMSE approach, MMSE‐MAP approach, MMSE‐maximum likelihood approach, few other
heuristic approaches, data association in non‐linear dynamic systems, some practical
estimators, PDAF and JPDAF.
