Cognitive radio frequency spectrum perception method based on compressed sensing and BP (back-propagation) neural network
A BP neural network and cognitive radio technology, applied in biological neural network models, network planning, wireless communication, etc., can solve problems such as high computational complexity, poor real-time online detection, etc., to avoid over-training and reduce the impact of noise , the effect of reducing data complexity
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[0036] The technical scheme of the present invention is described in detail below in conjunction with accompanying drawing:
[0037] figure 1 Shows the cognitive radio scenario in a typical frequency division multiple access system (such as GSM, broadcast TV system, OFDM, etc.), where the primary user occupies a fixed spectrum bandwidth, and the secondary user shares the spectrum with the primary user . Let the number of active primary users be , the main user The bandwidth sent by the radio frequency device is , the center spectrum is modulation signal , . Since the bandwidth occupied by the primary user spectrum is fixed, the signal has the characteristic of block sparseness. Spectrum sensing technology requires real-time perception of the spectrum occupancy of the channel without lossless reconstruction of the signal. According to this detection goal, the theoretical framework of compressed sampling can be introduced. Compressed sensing simply collects a part...
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