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Due to the fact that the traditional Kalman filtering has difficulties in determining dynamic noise and observation noise in the application of vehicular GPS dynamic positioning, an improved adaptive Kalman filter algorithm is put forward for GPS dynamic positioning in this paper. The proposed algorithm has the ability of making a real-time correction on the parameters of system noise, avoiding the...
Split FOV (Field of View) star tracker was developed by Texas A&M University together with the University of Rome “La Sapienza”. A 50% splitter was used to combine light beams from two separate FOVs, while only a single objective lens and optical detector are used. In this way, double FOV configuration allows increased accuracy in attitude determination by taking advantage of the ability to examine...
An image signature approach for content authentication is proposed. In the proposal, Contour let transformation is used to extract image feature, and the statistics of Contour let transformation coefficients are used to generate image signature. Then a tampering detection and tampering localization algorithm are developed by using generated image signature. Proposed method is robust for perceptually...
Sketch is commonly used in network anomaly detection. However, its irreversibility seriously obstacle for identification of origin of traffic anomaly, such as attack flows. In this paper, we design a novel sketch structure, called Bitwise Sketch, with the ability of fast and lightweight reverse deduction. Bitwisebased hash function, which distributes keys (IPs) is Sketch, is adopted in bitwise sketch,...
This paper considers a distributed estimation problem in which a sensor sporadically transmits information to a remote-observer. An event-triggered approach is used to trigger the transmission of information from the sensor to the remote-observer. The event-trigger is chosen to minimize the mean square estimation error at the remote-observer subject to a constraint on how frequently the information...
This paper studies self-triggering in sampled-data systems, where the next task release time and finishing time are predicted based on the sampled states. We propose a new self-triggering scheme that ensures finite-gain L2 stability of the resulting self-triggered feedback systems. This scheme relaxes the assumptions in that the magnitude of the process noise is bounded by a linear function of the...
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