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Exponential Mixture Densities (EMDs) is increasingly popular as a suboptimal distributed fusion technique that avoids calculating the common information between different nodes. However, there exists some concerns about the EMDs because it fuses the cluttered posterior density as a whole, which contains plenty of components of little physical significance. Thus, it becomes intractable and computation...
Detection probability is one of the most important criteria in the satellite-based automatic identification system. It represents how many vessels can be detected in the monitoring area of the system. However, existing research often neglects practical factors in S-AIS (satellite-based AIS) and cannot assess the performance of a practical system. In this paper, we propose a much detailed collision...
Broadband communication is demanded to satisfy a much wider variety of multimedia services. Among the multi-carrier schemes proposed in recent years, Orthogonal Frequency Division Multiplexing Access (OFDMA) and Single-carrier Frequency Division Multiple Access (SC-FDMA) are the most appealing candidates for broadband systems. However, traditional sampling scheme with a single high-rate Analog Digital...
We consider the problem of super-resolution from unregistered aliased images with unknown spatial scaling factors and shifts. Due to the limitation of pixel size in the image sensor, the sampling rate for each image is lower than the Nyquist rate of the scene. Thus, we have aliasing in captured images, which makes it hard to register the low-resolution images and then generate a high-resolution image...
A modified track-before-detect based on two-stage sampling particle filter is proposed for detection and tracking of a target with low signal-to-noise ratio in an image sequence. According to each component's impacting on measurement directly or not, the state vector is partitioned into two parts. Then a higher-dimensional sampling problem in TBD can be changed into two successive lower-dimensional...
This paper studies algorithm design and realization for distributed spectrum sharing. In algorithm design, one game theory based solution, price-based distributed spectrum sharing (PDSS) algorithm is presented to achieve optimal spectrum utilization. To realize the algorithm, synchronous and sequential schemes are investigated for iterative execution of user spectrum sharing strategy. The synchronous...
An expectation-maximization (EM)-based estimator for doubly selective channel parameterized by basis expansion model (BEM) is proposed, which converts the problem of estimating a multipath channel to parallel channel estimations. The convergence property of the algorithm has been carefully investigated, which shows that global convergence is always guaranteed. A novel initialization strategy is proposed...
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