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The Probability Hypothesis Density (PHD) filter is a promising technique in terms of computational complexity to solve the multiple targets tracking problem. However, the amount of computation is prohibitive in critical situations when the clutter intensity and sample rate are high. Therefore, the execution time of the sequential particle PHD filter cannot meet the requirement for real-time processing...
Moving infrared small target detection is widely used in areas such as target surveillance, precise guidance, etc. It has a high demand for the real-time and the probability of detection. Multiband simultaneous detection can get a high detection probability, but it leads to substantial growth in computing time, which cannot meet the real-time requirement in practical applications. To solve this problem,...
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