[PDF] Top 20 Estimation, Decision and Applications to Target Tracking

... estimated target trajectories are given in ...average decision error rate is shown in ...initial estimation error, while DTE method is less vulnerable to this error since the estimation error ... See full document

... to estimation or vice versa), or emphasizes one aspect of the two at a time even if the two-way dependence is ...in target tracking and classification to illustrate how the data are fully utilized in ... See full document

... measurement error consist of a noise component and a bias component, both of which are random [2]. NLOS propagation also makes it difficult to model accurately the received signal power. Thus, NLOS propagation poses a ... See full document

... sensor tracking is widely used technique in aerospace applications to estimate the target kinematics ...naval-based tracking systems utilize, different types of Radars (2-D, 3-D) in multi ... See full document

... ‘simple’ estimation of the targets’ position and velocity, to take into account additional observations, eg the shape/type of a target or the lane within which it is moving, so as to perform target ... See full document

... prediction, estimation problems that now arepopularly known as the Kalman ...accurate estimation of state variables under noisy condition, which makes it suitable for drives, robotic manipulators and other ... See full document

... grid estimation in an automotive ...multi- target tracking algorithms for applications which does not require information such as the number of ...the estimation, a prediction step has ... See full document

... reliable estimation of the parameters or states of a ...the applications of data fusion or information fusion techniques have significantly increased, such as in target tracking, image ... See full document

... and tracking task motivated in the previous ...parameter estimation and model selection, while Section ...tion. Applications of this method to neural recordings in macaque parietal cortex are ... See full document

... only tracking (BOT) is used in many practical military and civil applications including under water weapon systems, infrared seeker based tracking, sonar based robotic navigation and TV ...passive ... See full document

... multi-sensor tracking system ...and estimation in surveillance [19]. For indoor tracking, combination of Kalman sensor group fusion architecture and Alpha-Beta filter is devised to handle persons ... See full document

... In practice, we constantly need to compare multiple algorithms and make hard decisions to pick the better one for real applications. We can also view each algorithm as a hypothesis to characterize the observations ... See full document

... Conventional innovation-based approaches include the generalized likelihood ratio (GLR) test, the simple chi-square test and the sequential probability ratio test. Among these, the GLR is the most popular and has been ... See full document

... From Fig. 3, Fig. 4 and Table III, the EPF-MC use EKF algorithm as the proposal distribution, the EKE algorithm uses linearization and Gaussian assumption to introduce the large error, the performance of EPF-MC is poor ... See full document

... of applications in battlefield surveillance, disaster rescuing, etc. Target tracking in WSN has great importance in military ...multiple target detection has introduced, where each ... See full document

... In the recent years, there has been a rising stake in developing automatic human detection methods for video surveillance systems. The smart home concept [1] is interpreted as an integrated system that presents a range ... See full document

... The receiving system Figure 1 converts the X-band signals (sum, azimuth difference, and elevation difference RF signals) applied from the RF (monopulse duplexer) and antenna system, into60-megahertz IF signals. By using ... See full document

... clutter estimation is derived in [19] based on the Poisson point process ...clutter estimation method under the Gaussian kernel density estimation framework in [20, ...object tracking with ... See full document

... & AWGN) to it, as only the influence of the channel is of interest for channel estimation. So first the channel estimator tries to equalize the distortion during training by assuming the sequence to be known at ... See full document

... the target and search region are cropped and resized to a fixed size before ...the tracking algorithm is not affected by the original size of the ... See full document