17 Papers
165 Citations
C. Chang is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Extended Kalman filter & Kalman filter. The author has an hindex of 9, co-authored 17 publications.
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Papers
Kalman filter algorithms for a multi-sensor system
D. Willner,C. Chang,K. Dunn +2 more
- 01 Dec 1976
TL;DR: The purpose of this paper is to examine several Kalman filter algorithms that can be used for state estimation with a multiple sensor system and the data compression method is shown to be computationally most efficient.
278
Ballistic trajectory estimation with angle-only measurements
C. Chang
- 01 Dec 1979
TL;DR: In this paper, an iterative least square estimation algorithm is applied to the problem of state estimation of ballistic trajectories with angle-only measurements, and a filter initiation procedure is suggested.
57
Measurement correlation for multiple sensor tracking in a dense target environment
TL;DR: In this article, the authors describe an algorithm for correlating measurements from several sensors in a dense target environment and show that the correlation problem is similar to the assignment problem in operation research with assisgnment penalties being equal to the sufficient statistic of the generalized likelihood ratio test.
53
On GLR detection and estimation of unexpected inputs in linear discrete systems
TL;DR: The application of linear filtering techniques is demonstrated to obtain a recursive GLR algorithm so that the requirement for matrix inversions in the previously known GLR algorithms can be reduced or avoided.
30
Two lower bounds on the covariance for nonlinear estimation problems
TL;DR: Two Convariance lower bounds for nonlinear state estimation problems are presented, based upon the Cramer-Rao bound for treating nuisance parameters, and they can be applied to filtering, smoothing, and prediction problems.
22