This paper presents a simple yet efficient adaptive Kalman filter for tracking targets expected
to perform varying turn maneuvers. The process noise covariance level of a second order …

An approach to adaptive Kalman filtering is presented. The filter utilizes a scale factor, which
represents the target unpredictability at any time, as estimated from the available data. The …

A new tracking algorithm is proposed. It treats the target acceleration as a nonrandom term,
and consists of a constant velocity filter an input estimator and a maneuver detector …

Two different adaptive Kalman filter designs, for tracking targets expected to perform varying
turn manoeuvres, are presented. In the first one, the process noise covariance level of a …

Beginning with the derivation of a least squares estimator that yields an estimate of the
acceleration input vector, this paper first develops a detector for sensing target maneuvers …

A best linear unbiased estimate (BLUE) of the input process which characterizes a pilot-
induced maneuver is developed for the case of the one-dimensional Kalman filter. This …

Target maneuver has long been a problem of tracking small targets with the Kalman filter.
We describe an incremental model for maneuver detection and estimation for use in target …

Tracking of maneuvering targets is an important area of research with applications in both
the military and civilian domains. One of the most fundamental and widely used approaches …

The conventional Kalman tracking filter incurs mean tracking errors in the presence of a pilot-
induced target maneuver. Chan, Hu, and Plant proposed a solution to this problem which …

PL Boglar (see ibid., vol. AES-23, no. 3, p. 298-310, May 1987) developed a recursive
formulation of the Chan, Hu, and Plant (CHP) algorithm, and the results of the simulation …