Method and device for processing multi-carrier signal
A multi-carrier signal and processing method technology, applied in the direction of multi-frequency code system, etc., can solve the problem of poor PAPR suppression performance, achieve the effect of avoiding peak rise again and improving PAPR suppression performance
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Embodiment 1
[0096] Figure 4 A flow chart of the multi-carrier signal processing method in Embodiment 1 of the present invention is shown. Assuming that the target threshold in this embodiment is Th, K comparison thresholds {Th_comp 0 , Th_comp 1 ,...,Th_comp k ,...,Th_comp K-1}, and the signal to be processed is the time-domain OFDM multi-carrier signal s=[s(0),s(1),...,s(n),...,s(JN-1)], where J is Oversampling multiple, N is the number of subcarriers. see Figure 4 , the method includes:
[0097] In step 401, a current comparison threshold is selected from K comparison thresholds.
[0098] In this step, when selecting the current comparison threshold, it can be selected in descending order, that is, the larger comparison threshold is selected first, and then the smaller comparison threshold is selected; of course, it can also be selected in other commonly used orders.
[0099] In step 402, a sampling point in the signal to be processed that has not been compared with the curren...
Embodiment 2
[0137] The multi-carrier signal processing process in the foregoing embodiment 1 is mainly performed at the transmitting end of the signal. In this process, for the purpose of reducing the PAPR, some sampling points are subjected to at least one single-point peak cancellation processing. The amplitude of these sampling points Value changes will generate PAPR suppression noise in the signal to be processed, which may have a negative impact on the bit error rate (BER) of the received signal at the receiving end. In order to reduce the impact of PAPR suppressed noise, thereby reducing the BER at the receiving end, this embodiment further adds clipping noise reconstruction (Cnr clipping noise reconstruction, CNR) processing at the receiving end on the basis of Embodiment 1. Specifically, when there is no sampling point that is not canceled by the peak value in the signal to be processed, performing clipping noise reconstruction processing on the time domain signal of the signal to ...
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