CN111277366B - NOMA demodulation method for weak signal suppression power domain based on statistical mean - Google Patents
NOMA demodulation method for weak signal suppression power domain based on statistical mean Download PDFInfo
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- CN111277366B CN111277366B CN202010059681.4A CN202010059681A CN111277366B CN 111277366 B CN111277366 B CN 111277366B CN 202010059681 A CN202010059681 A CN 202010059681A CN 111277366 B CN111277366 B CN 111277366B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/004—Arrangements for detecting or preventing errors in the information received by using forward error control
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- H04L1/0061—Error detection codes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L27/00—Modulated-carrier systems
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- H04L27/2601—Multicarrier modulation systems
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- H04L27/2689—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation
- H04L27/2691—Link with other circuits, i.e. special connections between synchronisation arrangements and other circuits for achieving synchronisation involving interference determination or cancellation
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- H—ELECTRICITY
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L1/00—Arrangements for detecting or preventing errors in the information received
- H04L1/20—Arrangements for detecting or preventing errors in the information received using signal quality detector
- H04L1/203—Details of error rate determination, e.g. BER, FER or WER
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Abstract
The invention provides a NOMA demodulation method of a weak signal suppression power domain based on a statistical mean value, which aims to solve the problem that a SIC receiver can obtain a better demodulation result only when the power difference of a user is large enough in the conventional NOMA demodulation method of the power domain.
Description
Technical Field
The invention belongs to the technical field of wireless communication, and particularly relates to a NOMA demodulation method for a weak signal suppression power domain.
Background
With the popularization of intelligent terminals and the development of new mobile services, the demands of various application fields of wireless networks are explosively increased, the traditional multiple access technology is difficult to meet, especially in the aspects of system throughput, user rate experience and the like, a power domain non-orthogonal multiple access technology (NOMA) attracts attention due to the superior spectrum efficiency, and is considered as a promising multiple access scheme in the next generation of mobile communication networks.
The power domain NOMA introduces the concept of power domain multiplexing, users share the same resource block (such as the same frequency resource), a non-orthogonal multiple access mode is adopted for sending at a sending end, interference signals are actively introduced, signals with larger power are firstly demodulated at a receiving end through a Serial Interference Cancellation (SIC) technology, then the signals of the users are reconstructed and eliminated, and then the signals with smaller power are demodulated.
Disclosure of Invention
The invention provides a NOMA demodulation method of a weak signal suppression power domain based on a statistical mean value, aiming at improving the BER performance of the existing NOMA demodulation method of the power domain.
According to the NOMA demodulation method of the weak signal suppression power domain based on the statistical mean value, the signal receiving process of a receiving end specifically comprises the following steps:
step one, a receiving end of a base station receives a signal transmitted by a channel;
step two, demodulating the received signal obtained in the step one, wherein the weak signal is treated as noise to obtain a strong signal demodulation result;
step three, performing CRC (cyclic redundancy check) on the strong signal demodulation result obtained in the step two, and if the CRC is wrong, performing weak signal suppression processing based on a statistical mean value on the received signal obtained in the step one, and then re-demodulating the strong signal to obtain a strong signal demodulation result;
Fourthly, reconstructing the strong signal demodulation result obtained in the third step to obtain a strong signal;
step five, demodulating the weak signal by using a SIC technology, and subtracting the strong signal in the step four from the received signal in the step one to obtain a weak signal with the strong signal eliminated;
and step six, demodulating the weak signal obtained in the step five to obtain a weak signal demodulation result.
The invention provides a NOMA demodulation method of a weak signal suppression power domain based on a statistical mean, when strong user signals in the NOMA are demodulated, if CRC (cyclic redundancy check) of demodulation results is wrong, the signals are processed by a weak signal suppression algorithm based on the statistical mean, weak signal parts in noise components of the strong signals are reduced, further BER (bit error rate) performance is improved, SIC (signal information classification) technology is used for demodulating the weak signals, weak signal recovery quality is improved, and the BER of the weak signals is improved.
Drawings
FIG. 1 is a received signal demodulation flow diagram of the present invention;
fig. 2 is a schematic diagram of a model of an uplink power domain NOMA transmission system adopted in the embodiment of the present invention;
Fig. 3 is a flowchart of the weak signal suppression algorithm based on statistical means according to the present invention.
Detailed Description
The first specific implementation way is as follows: a signal receiving flow embodiment of the present invention is described with reference to fig. 1;
the signal receiving process comprises the following steps:
step one, a base station receiver receives a NOMA signal of a strong and weak user uplink power domain,
the modulation mode adopted by the signal is QPSK, P1、P2Respectively strong and weak signal power, X, received by the base station receiver1、X2The signal is normalized strong and weak signal, Y is the signal received by the base station, and the model of the uplink power domain NOMA transmission system is shown in fig. 2.
And step two, directly carrying out constellation demapping on the received signals obtained in the step one according to the I, Q orthogonal signals, and recovering 0 and 1 bit data streams of the strong signals.
Step three, performing CRC check on the 0 and 1 bit data stream of the strong signal obtained in the step two, and if the CRC is wrong, performing CRC check on the strong signalAfter the weak signal suppression processing based on the statistical mean value is carried out on the received signal obtained in the first step, constellation demapping is carried out on the signal according to two paths of orthogonal I, Q signals, 0 and 1 bit data streams of the strong signal are recovered, and the weak signal suppression algorithm processing based on the statistical mean value is carried out on the signal, wherein the specific method is that the amplitude of a weak signal is added or subtracted to a signal point, close to 0, of the signal amplitude according to two paths of orthogonal I, Q signals at the CRC error part, as shown in figure 3, at the CRC error part, if the amplitude of the received signal is smaller than 0, the amplitude of the weak signal is added to the amplitude of the received signal 
If the received signal amplitude is greater than 0, subtracting a weak signal amplitude from the received signal amplitude
And step four, performing baseband mapping on the 0 and 1 bit data streams of the strong signal obtained in the step three to obtain a modulation result after constellation mapping, namely the reconstructed strong signal.
And step five, demodulating the weak signal by using a SIC technology, and subtracting the reconstructed strong signal in the step four from the received signal in the step one to obtain the weak signal with the strong signal eliminated.
And step six, constellation demapping is carried out on the weak signals obtained in the step five according to the I, Q orthogonal signals, and 0 and 1 bit data streams of the weak signals are recovered.
The invention provides a NOMA demodulation method for restraining a power domain from being subjected to weak signal suppression based on a statistical mean value, wherein when a strong signal is demodulated, the NOMA signal in the power domain is subjected to weak signal suppression based on the statistical mean value, so that a strong signal demodulation result can eliminate part of errors which cannot be corrected originally, the grouping error rate of NOMA demodulation in the power domain is reduced, and the NOMA system demodulation performance is improved.
The above-mentioned embodiments of the present invention are only intended to illustrate the calculation model and calculation flow of the present invention in detail, and not to limit the embodiments of the present invention, and it is obvious for those skilled in the art to make other variations or modifications based on the above description, and it is not exhaustive for all embodiments, and all obvious variations or modifications belonging to the technical solutions of the present invention are within the protection scope of the present invention.
Claims (1)
1. A NOMA demodulation method of a weak signal suppression power domain based on a statistical mean value is characterized by comprising the following steps: the signal receiving process at the receiving end specifically includes:
step one, a receiving end of a base station receives a signal transmitted by a channel;
step two, demodulating the received signal obtained in the step one, wherein the weak signal is treated as noise to obtain a strong signal demodulation result;
step three, performing CRC (cyclic redundancy check) on the strong signal demodulation result obtained in the step two, and if the CRC is wrong, performing weak signal suppression processing based on a statistical mean value on the received signal obtained in the step one, and then re-demodulating the strong signal to obtain a strong signal demodulation result;
fourthly, reconstructing the strong signal demodulation result obtained in the third step to obtain a strong signal;
step five, demodulating the weak signal by using a SIC technology, and subtracting the strong signal in the step four from the received signal in the step one to obtain a weak signal with the strong signal eliminated;
step six, demodulating the weak signal obtained in the step five to obtain a weak signal demodulation result;
step two after the demodulation in step two, demodulate the received signal obtained in step one, wherein the principle of distinguishing the weak signal and the strong signal is: comparing the signal to be distinguished with a preset signal intensity threshold, wherein if the signal intensity to be distinguished is lower than the preset signal intensity threshold, the signal to be distinguished is a weak signal, and if the signal intensity to be distinguished is equal to or higher than the preset signal intensity threshold, the signal to be distinguished is a strong signal;
In the third step, the received signal obtained in the first step is processed by a weak signal suppression algorithm based on a statistical mean, and the specific method comprises the following steps: for the CRC error portion of the received signal, the amplitude of a weak signal is added or subtracted at signal points whose amplitudes are close to 0: the method specifically comprises the following steps: for the CRC error portion, the received signal is increased by the amplitude of a weak signal when the received signal amplitude is less than 0, and the received signal amplitude is decreased by the amplitude of a weak signal when the received signal amplitude is greater than 0.
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