This is the fifth part of a series of papers that provide a comprehensive survey of techniques
for tracking maneuvering targets without addressing the so-called measurement-origin …

A framework is presented for controlling a phased array radar for tracking highly
maneuvering targets in the presence of false alarms (FAs) and electronic countermeasures …

A unique and comprehensive collection of submarine landslide data from different tectonic
environments in the North Atlantic, based on published literature and industry sources, is …

An algorithm is presented for tracking a highly maneuvering target using two different
sensors, a radar and an infrared sensor, assumed to operate in a cluttered environment. The …

Tracking multiple targets with uncertain target dynamics is a difficult problem, especially with
nonlinear state and/or measurement equations. With multiple targets, representing the full …

In this paper, a performance comparison between a Kalman filter and the interacting multiple
model (IMM) estimator is carried out for single-target tracking. In a number of target tracking …

A review of effective radar tracking filter methods and their associated digital filtering
algorithms. It examines newly developed systems for eliminating the real-time execution of …

Estimation can be classified in terms of the quantity to be estimated as parameter estimation
or state/signal estimation. A “parameter” usually refers to a constant (or slowly-varying) …

The special feature of the interacting multiple model (TMM) estimator that distinguishes it
from other suboptimal multiple model (MM) estimators is the" mixing/interaction" between its" …

Multiple-model approach provides the state-of-the-art solutions to many problems involving
estimation, filtering, control, and/or modeling. One of the most important problems in the …