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This paper addresses the compensation problem of the missile radome aberration error using the interacting multiple model (IMM) algorithm. To compensate the radome error, the proposed method estimates the radome slope by applying the modified IMM algorithm. In the proposed approach, the mode probability update in the IMM algorithm is redefined for improving performance of the radome slope estimation...
This paper is concerned with the mixed-time fuzzy optimal estimator for the target tracking. The proposed method takes account of behaviour for target motion in continuous time and system measurement in discrete time. The overall dynamic of system in continuous-time is discretised by using Takagi-Sugeno(T-S) fuzzy models. Based on the fuzzy model the fuzzy estimation is studied. Then the error state...
In this paper, we introduce a reflectometry which is used as localizing faults in an underground power cable. To increase the resolution and SNR, time-frequency domain reflectometry (TFDR) adopts the Gaussian enveloped linear chirp signal and Wigner-Ville distribution (WVD) based time-frequency cross-correlation (TFCC) method. However, the nonlinearity of WVD and the computational burden of 2D cross-correlation...
Mobile robot control or an assistive system for the visual disabled needs real-time and stable estimation results for the position and heading information. If the information is estimated in time difference of arrival (TDOA) based sensor network, a linear estimator can be applied to this problem which is not suffering from the initial guess problem and can be derived in a recursive formula. However,...
A robust linear estimation scheme is newly proposed for solving the time delay estimation problem. The conventional linear estimators cannot effectively deal with the stochastic parameter uncertainty included in the measurement model. As a remedy for this problem, the recently proposed non-conservative robust Kalman filter (NCRKF) can be used for time delay estimation. In spite of using the noisy...
In this paper, a novel reflectometry, which is characterized by a simple autoregressive (AR) modeling of a chirp signal and an weighted robust least squares (WRLS) AR coefficient estimator, is proposed. In spite of its superior fault detection performance over the conventional reflectometries, the recently developed time-frequency domain reflectometry (TFDR) might not be suitable for real-time implementation...
In this paper, a new class of robust Kalman filtering problem is tackled for time-varying linear systems. Aside from the conventional problem settings, it is assumed that the measurement matrix be unknown and only a noise corrupted observation of it be available for state estimation. The influence of the noise contaminated measurement matrix on the Kalman filter estimate is analyzed in the sense of...
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