Ultra-wideband signal feature diversity receiving detection method and system based on deep learning

The invention discloses an ultra-wideband signal feature diversity receiving detection method and system based on deep learning, and relates to the technical field of ultra-wideband wireless communication, and the method comprises the steps: carrying out the feature diversity receiving of a pulse ultra-wideband signal through employing a compression matrix, compressing the signal from a time domain to a feature domain, and carrying out the feature diversity receiving of the pulse ultra-wideband signal; acquiring feature diversity information of pilot symbols and data symbols in the signals; performing average noise reduction on the feature diversity information of the pilot symbols to obtain pilot reference information; weighting the diversity combining coefficient based on pilot frequency reference information to obtain a correlation diversity combining coefficient; performing inner product on the feature diversity information of the data symbols based on the correlation diversity combining coefficient to ob