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Relative variation refers to the spread of a sample or a population as a proportion of the mean. Relative variation is useful because it can be expressed as a percentage, and is independent of the units in which the sample or population data are measured.
Multi-dimensional adaptive streaming reconstruction method of spectrum situation tensor for space-based dynamic incomplete observation
The application discloses a kind of multi-dimensional self-adaptive streaming reconstruction methods of spectrum situation tensor for space-based dynamic incomplete observation, comprising: based on spectrum measurement data, construct dynamic tensor and determine dimension evolution mode by the spatial coverage dimension variation of dynamic tensor;When dimension evolution mode is expansion or invariable, using historical factor matrix as prior constraint to process current observation tensor, obtain the factor matrix of current time slot;When dimension evolution mode is short, using time series prediction method to pre-fill blind area, obtain the factor matrix of current time slot;Based on factor matrix, reconstruct spectrum situation tensor, and separate abnormal interference from reconstruction residual using soft threshold operator;Based on the reconstruction residual after separating abnormal interference, calculate relative change rate, update tensor rank in combination with sliding window regression trend;Based on the tensor rank after updating, adjust factor matrix structure, use the adjusted factor matrix for the processing of next time slot, iterate until the reconstruction result converges.
Owner:SHENZHEN UNIV