Browsing by Author "GUU, JA"

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MANEUVERING TARGET TRACKING USING IMM METHOD AT HIGH MEASUREMENT FREQUENCY
(1991-05-01)
GUU, JA
;
WEI, CH
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In tracking a maneuvering target by a radar system, the measurement noise is significantly correlated when the measurement frequency is high. In this paper, a simple decorrelation process is proposed to enhance the interacting multiple model (IMM) algorithm to track a maneuvering target with correlated measurement noise. It is found that the decorrelation process may improve system performance significantly, especially in velocity and acceleration estimations.
SIMPLE PARAMETER-ESTIMATION TECHNIQUE IN MANEUVERING TARGET TRACKING SYSTEM
(1990-04-12)
GUU, JA
;
WEI, CH
;
交大名義發表
;
電控工程研究所
;
National Chiao Tung University
TRACKING A MANEUVERING TARGET USING INPUT ESTIMATION AT HIGH MEASUREMENT FREQUENCY
(1992-06-01)
GUU, JA
;
WEI, CH
;
交大名義發表
;
電控工程研究所
;
National Chiao Tung University
In tracking a manoeuvring target by radar system, the measurement noise is significantly correlated when the measurement frequency is high. Bogler's input estimation method with decorrelation algorithm is used to track the manoeuvring target. It is found that the decorrelation process may improve the system performance significantly when the target is in a quiescent period or in steady state of the accelerating period. The transient performance may be improved effectively by a modified method denoted as 'modified CHP algorithm'. The performance in the quiescent period can also be improved by adding a quiescent detector to the system.
TRACKING A MANEUVERING TARGET WITH CORRELATED MEASUREMENT NOISES BY MANEUVER DETECTION METHOD
(1991-01-31)
GUU, JA
;
WEI, CH
;
交大名義發表
;
電控工程研究所
;
National Chiao Tung University
The tracking problem for a manoeuvring target with correlated measurement noises is considered in this letter. A modified manoeuvre detection method with the decorrelation process is employed for tracking the manoeuvring target. From computer simulation, it can be seen that the system performance can be improved significantly if the effect of noise-correlation is considered.
TRACKING TECHNIQUE FOR MANEUVERING TARGET WITH CORRELATED MEASUREMENT NOISES AND UNKNOWN-PARAMETERS
(1991-06-01)
GUU, JA
;
WEI, CH
;
交大名義發表
;
電控工程研究所
;
National Chiao Tung University
The problem of tracking a manoeuvring target with sequentially correlated measurement noise is considered in the paper. Using Singer's method to model the manoeuvring target, the correlated measurement noise can be decorrelated by reformulating the measurement equation such that the conventional Kalman filter can be directly applied in this tracking problem. An analytical error analysis for this processing is derived. If some of the parameters are unknown, the conventional innovation correlation method can usually be employed to estimate these parameters adaptively. This method assumes that the measurement noise is white. If the measurement noise is sequentially correlated, this technique is not valid and the parameters can not be estimated with sufficient accuracy to obtain the desired tracking performance. By considering the effect of noise correlation, a modified computationally efficient method known as a multiple-level estimator is presented to improve the performance in estimating the unknown parameters in the presence of correlated measurement noise.