A wireless signal reconstruction method, device, system, equipment and storage medium
A wireless signal and signal data technology, applied in the field of communication, can solve problems such as complex solution process, inappropriateness, and large amount of calculation, and achieve the effects of improving calculation efficiency, solving poor performance, and ensuring channel estimation accuracy
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Embodiment 1
[0040] figure 1 It is a flowchart of a wireless signal reconstruction method provided in Embodiment 1 of the present invention. This embodiment is applicable to the situation of reconstructing a wireless signal sent by a transmitting end, and the method can be executed by the wireless signal reconstruction device in the embodiment of the present invention. The device can be implemented in software and / or hardware, such as figure 1 As shown, the method specifically includes the following steps:
[0041] S110. Receive a wireless signal sent by the transmitter.
[0042] Wherein, the wireless signal refers to a transmission signal sent by a transmitting end that has experienced channel distortion and noise interference. Specifically, in this embodiment, matlab software is used to simulate a physical downlink shared channel (Physical Downlink Shared Channel, PDSCH) transmission process. First generate a PDSCH resource grid, then insert demodulation reference symbols, perform mod...
Embodiment 2
[0051] figure 2 It is a flowchart of a wireless signal reconstruction method provided by Embodiment 2 of the present invention. This embodiment is applicable to the situation of reconstructing the wireless signal sent by the transmitting end. For the technical details described in the embodiments, reference may be made to any of the foregoing embodiments. In this embodiment, the training process of the first LSTM network includes: taking the wireless signal received by the receiving end as input, and the signal data passing through the channel but without adding Gaussian white noise as the first label data, and performing the first label data on the first LSTM network Train until the loss function of the first LSTM network is minimized. The training process of the second LSTM network includes: taking the denoising signal data predicted by the first LSTM network as input, and the modulated signal data emitted by the transmitter as the second label data, and training the secon...
Embodiment 3
[0077] Figure 14 It is a schematic structural diagram of a wireless signal reconstruction device provided in Embodiment 3 of the present invention. Such as Figure 14 As shown, the wireless signal reconstruction device specifically includes: a receiving module 310 , a first processing module 320 and a second processing module 330 .
[0078] Wherein, the receiving module 310 is configured to receive the wireless signal sent by the transmitting end;
[0079] The first processing module 320 is used to remove noise from the wireless signal through the pre-trained first LSTM network to obtain denoised signal data;
[0080] The second processing module 330 is configured to eliminate distortion effects on the denoising signal data through the pre-trained second LSTM network, and restore the original transmission signal.
[0081] In the embodiment of the present invention, two LSTM networks are obtained through pre-training, and two cascaded LSTM networks are used to eliminate the...
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