CN112968856B - PTS peak-to-average ratio optimization method based on frequency domain preprocessing and signal processing system - Google Patents
PTS peak-to-average ratio optimization method based on frequency domain preprocessing and signal processing system Download PDFInfo
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Abstract
The invention relates to a PTS peak-to-average ratio optimization method based on frequency domain preprocessing, belongs to the technical field of wireless communication power amplifier efficiency optimization, and solves the problem that the efficiency optimization capacity is limited due to the fact that the calculated amount of the traditional PTS-based PAPR suppression method is too high. The method comprises the following steps: performing frequency domain conversion on an input M-QAM signal, and performing signal segmentation on an OFDM frequency domain signal obtained by frequency domain conversion; sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signals; inputting the discrete OFDM result after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value; and searching a discrete OFDM result corresponding to the minimum value of the dispersion estimated value of the OFDM signal, and performing IFFT (inverse fast Fourier transform) to obtain a time domain transmission signal with suppressed peak-to-average ratio. The method realizes the reduction of the computational complexity and can quickly and effectively inhibit the peak-to-average ratio of the input signal.
Description
Technical Field
The invention relates to the technical field of wireless communication power amplifier efficiency optimization, in particular to a PTS peak-to-average ratio optimization method based on frequency domain preprocessing and a signal processing system.
Background
With the development of various key technologies such as Ultra Dense Network (UDN), massive MIMO, millimeter wave communication and the like, a 5G network achieves the improvement of 1000 times of network capacity and the large connection objective of at least 1000 hundred million devices, and simultaneously leads to the aggravation of energy consumption crisis. The energy consumption cost gradually runs out of the profitability of the network, most of the energy consumption in the communication process occurs at the wireless base station side, most of the energy consumption is wasted in the form of heat due to low power amplification efficiency, and the machine room environment is deteriorated.
The 5G system employs an Orthogonal Frequency Division Multiplexing (OFDM) system. When the OFDM signal is transmitted, the OFDM signal is formed by a plurality of subcarriers, and due to the fact that the phases of adjacent subcarriers are close, peak superposition of the subcarriers can be caused, the situation of peak-to-average ratio can be caused, the power amplifier can not work in a linear area, the working efficiency of the power amplifier is reduced, and unnecessary energy consumption is caused.
The PAPR suppression method based on the Partial Transmission Sequence (PTS) can improve the working efficiency of the 5G system. However, in the prior art, the PAPR suppression method is a linear optimization process, and the space of the number of packets, a large amount of IFFT transformation and complex PAPR time domain evaluation all cause the sudden increase of the calculated amount of the system, so that the calculation overhead of the whole system is restrained, and the efficiency optimization performance of the system is limited.
Disclosure of Invention
In view of the above analysis, the embodiment of the invention aims to provide a PTS peak-to-average ratio optimization method and a signal processing system based on frequency domain preprocessing, which are used for solving the problem that the efficiency optimization capability is limited due to the fact that the calculation amount of the existing PTS-based PAPR suppression method is too high.
On one hand, the embodiment of the invention provides a PTS peak-to-average ratio optimization method based on frequency domain preprocessing, which comprises the following steps:
performing frequency domain conversion on an input M-QAM signal, and performing signal segmentation on an OFDM frequency domain signal obtained by frequency domain conversion;
sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signals;
inputting the discrete OFDM result after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value;
and searching a discrete OFDM result corresponding to the minimum value of the dispersion estimated value of the OFDM signal, and performing IFFT (inverse fast Fourier transform) to obtain a time domain transmission signal with suppressed peak-to-average ratio.
The beneficial effects of the technical scheme are as follows: aiming at the defect of high computational complexity of the existing PTS-based PAPR suppression method, the low-complexity PTS peak-to-average ratio optimization method based on frequency domain preprocessing is provided, and the signal peak-to-average ratio can be effectively suppressed. By the combined method of preprocessing (frequency domain scrambling) and frequency domain evaluation (preset Spacing evaluation model), the V-1 IFFT transformation is avoided, the complexity of PTS is reduced to about 1/V, and an extremely excellent scrambling signal can be preselected before IFFT through the Spacing evaluation model with low peak-to-average ratio probability and used as a transmission signal, and good peak-to-average ratio inhibition performance is maintained under the condition of low complexity.
Based on a further improvement of the above method, the step of performing frequency domain conversion on the input M-QAM signal includes:
carrying out OFDM frequency domain framing on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X 1 ,…,X i ,…,X N ]
Wherein X is i For the ith subcarrier of the OFDM frequency domain signal, N represents the number of subcarriers of the OFDM frequency domain signal.
The beneficial effects of the further improved scheme are as follows: frequency domain OFDM planning and signal carrier allocation are performed, so that the frequency spectrum efficiency can be effectively improved, the frequency selective fading in the transmission process is resisted, and the anti-interference capability is high.
Further, the step of performing signal segmentation on the OFDM frequency domain signal obtained by frequency domain conversion includes:
dividing OFDM frequency domain signals into mutually disjoint subblocks by a random dividing method, wherein each subblock is used as an OFDM frequency domain subblock X v
Where V represents the total number of partitioned sub-blocks, the subscript V represents the sub-block order, V ε {1,2, …, V }.
The beneficial effects of the further improved scheme are as follows: the OFDM frequency domain signal is subjected to sub-block division, so that the degree of freedom of scrambling can be improved, higher constellation dispersion can be obtained by higher total number of blocks V, the probability of peak generation can be effectively reduced, and the sub-block division can realize the effective compromise between complexity and peak-to-average ratio suppression performance of PTS.
Further, the preset frequency domain scrambling model is as follows
In which Q iv The ith row and the ith item element of the full space Q of the multiplicative scrambling sequence.
The beneficial effects of the further improved scheme are as follows: the frequency domain scrambling model is a multiplicative scrambling method, can optimize signal dispersion, and can finish corresponding multiplicative descrambling at a receiving end. The peak-to-average ratio can be effectively reduced under the transmission condition of lossless signal quality.
Further, the sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signal, further includes:
each OFDM frequency domain sub-signal X is obtained by the following formula v Corresponding rotary phase factor b v
b v ＝e j2πi/V |i＝1,…,V
Wherein, | is a conditional operator;
according to the above rotary phase factor b v Permutation and combination in the following formula are carried out to obtain the full space Q of the multiplicative scrambling sequence in the frequency domain scrambling model
V！＝V·(V-1)…1
All OFDM frequency domain sub-signals X v Sequentially inputting a preset frequency domain scrambling model to obtain V-! Discrete OFDM result after PTS multiplicative scrambling
The beneficial effects of the further improved scheme are as follows: and generating a scrambling sequence full space Q, finishing frequency domain scrambling, and obtaining an optimal solution more easily and quickly compared with the prior PTS random sampling scrambling space, thereby obtaining a peak-to-average ratio suppression effect with better performance.
Further, the Spacing evaluation model is as follows
Where S is the estimated value of the dispersion of OFDM signals,is->In (c) is the kth frequency domain signal,/is>Is->Is a mean value of (c).
The beneficial effects of the further improved scheme are as follows: by means of the Spacing evaluation model, the Spacing frequency domain dispersion evaluation can predict the low peak-to-average ratio signal with high probability, and the ultra-optimal PTS peak-to-average ratio suppression scrambling signal can be obtained more easily with lower complexity.
On the other hand, the embodiment of the invention provides a signal processing system based on frequency domain preprocessing, which comprises the following steps of:
the preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signal, carrying out signal segmentation on the OFDM frequency domain signal obtained by the frequency domain conversion, and transmitting each segmented OFDM frequency domain sub-signal to the signal generation and screening module;
the signal generation and screening module is used for sequentially inputting each OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a discrete OFDM result after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signal; inputting the discrete OFDM result after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value; selecting a discrete OFDM result corresponding to the minimum value of the estimated value of the dispersion of the OFDM signal, and transmitting the discrete OFDM result to an output module;
and the output module is used for performing IFFT conversion on the received discrete OFDM result to obtain a time domain transmission signal with suppressed peak-to-average ratio.
The beneficial effects of the technical scheme are as follows: the complexity of the existing PTS-based PAPR suppression method is mainly concentrated on IFFT transformation and PTS scrambling of the time domain to optimize OFDM signals. According to the technical scheme, the PTS scrambling code preferably selects the OFDM signal (namely, the discrete OFDM result corresponding to the minimum value of the dispersion estimated value of the OFDM signal) through the Spacing evaluation model of the frequency domain, so that the complexity of IFFT conversion can be avoided, the scrambling signal with low peak-to-average ratio is preferably selected from the whole space with extremely low cost and time delay, and meanwhile, the good peak-to-average ratio inhibition performance is maintained.
Based on a further development of the above system, the preprocessing module performs the following procedure:
carrying out OFDM frequency domain framing on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X 1 ,…,X i ,…,X N ]
Wherein X is i An ith subcarrier of the OFDM frequency domain signal, wherein N represents the number of subcarriers of the OFDM frequency domain signal;
dividing OFDM frequency domain signals into mutually disjoint sub-blocks by a random dividing method, wherein each sub-block is used as an OFDM frequency domain sub-signal
Where V represents the total number of partitioned sub-blocks, subscript V represents the order of sub-blocks, V ε {1,2, …, V };
and sequentially transmitting each divided OFDM frequency domain sub-signal to a signal generation and screening module.
The beneficial effects of adopting the further improvement scheme are as follows: and the degree of freedom of optimization is increased from the frequency domain dimension, so that more constellation points can complete multiplicative optimization, and the peak-to-average ratio inhibition performance is improved.
Further, the signal generation and screening module executes the following procedure to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signal:
each OFDM frequency domain sub-signal X is obtained by the following formula v Corresponding rotary phase factor b v
b v ＝e j2πi/V |i＝1,…,V
Wherein, | is a conditional operator;
according to the above rotary phase factor b v Permutation and combination in the following formula are carried out to obtain the full space Q of the multiplicative scrambling sequence in the frequency domain scrambling model
All OFDM frequency domain sub-signals X v Sequentially inputting a preset frequency domain scrambling model in the following formula to obtain V-! Discrete OFDM result after PTS multiplicative scrambling
In which Q iv The ith row and the ith item element of the full space Q of the multiplicative scrambling sequence.
The beneficial effects of adopting the further improvement scheme are as follows: the degree of freedom of optimization is increased from the space dimension, constellation points are multiply scattered in a larger constellation space, OFDM frequency domain discrete signals scrambled in the whole space frequency domain are generated, the complexity of IFFT transformation is avoided, and all candidate OFDM signals of PTS (namely the discrete OFDM results after PTS multiply scrambling) are obtained with smaller complexity) It is easier to include the optimal solution.
Further, the signal generation and screening module performs the following procedure to obtain an OFDM signal dispersion estimate:
inputting the discrete OFDM result after each PTS multiplicative scrambling into a Spacing evaluation model of the following formula to obtain a corresponding OFDM signal dispersion estimated value S
Wherein, as the estimated value of the dispersion of the OFDM signal,is->In (c) is the kth frequency domain signal,/is>Is->Is a mean value of (c).
The beneficial effects of adopting the further improvement scheme are as follows: and from PTS candidate OFDM frequency domain signals in the whole space, performing Spacing evaluation, and quickly converging to an OFDM signal with low peak-to-average ratio as a transmission signal. By means of the Spacing evaluation model, the Spacing frequency domain dispersion evaluation can predict the low peak-to-average ratio signal with high probability, and the ultra-optimal PTS peak-to-average ratio suppression scrambling signal can be obtained more easily with lower complexity.
In the invention, the technical schemes can be mutually combined to realize more preferable combination schemes. Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention may be realized and attained by the structure particularly pointed out in the written description and drawings.
Drawings
The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, like reference numerals being used to refer to like parts throughout the several views.
Fig. 1 is a schematic diagram of the steps of the PTS peak-to-average ratio optimizing method based on the frequency domain preprocessing in embodiment 1 of the present invention;
fig. 2 is a schematic diagram of a PTS peak-to-average ratio optimizing method based on frequency domain preprocessing in embodiment 2 of the present invention;
fig. 3 is a schematic diagram illustrating evaluation of peak-to-average ratio suppression performance of the PTS peak-to-average ratio optimizing method based on frequency domain preprocessing in embodiment 2 of the present invention;
fig. 4 is a schematic diagram illustrating the composition of a signal processing system based on frequency domain preprocessing according to embodiment 3 of the present invention.
Detailed Description
Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and together with the description serve to explain the principles of the invention, and are not intended to limit the scope of the invention.
Example 1
The invention discloses a PTS peak-to-average ratio optimization method based on frequency domain preprocessing, which comprises the following steps as shown in figure 1:
s1, performing frequency domain conversion on an input M-QAM signal, and performing signal segmentation on an OFDM frequency domain signal obtained by frequency domain conversion;
s2, sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a discrete OFDM result after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signal;
s3, inputting a discrete OFDM result subjected to multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value;
s4, searching a discrete OFDM result corresponding to the minimum value of the dispersion estimated value of the OFDM signal, and performing IFFT transformation to obtain a time domain transmission signal after peak-to-average ratio inhibition.
Compared with the prior art, the method provided by the embodiment predicts an excellent PAPR-suppressed OFDM signal by a combination method of preprocessing (frequency domain scrambling) and frequency domain evaluation (preset Spacing evaluation model), namely frequency domain dispersion Spacing evaluation is performed before time domain IFFT, so that V-1 IFFT transformation is avoided, the complexity of PTS is reduced to about 1/V in the prior art, and meanwhile, an excellent PAPR suppression effect is maintained, and the method becomes an effective method for reducing the computational complexity, and is also called as a frequency domain optimization Spacing-PTS algorithm. Under the condition of low complexity, good peak-to-average ratio inhibition performance is maintained at the same time.
Example 2
The optimization is performed on the basis of example 1, step S1 being further refined to:
s11, carrying out OFDM frequency domain framing on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X 1 ,…,X i ,…,X N ] (1)
Wherein X is i For the ith subcarrier of the OFDM frequency domain signal, N represents the number of subcarriers of the OFDM frequency domain signal.
S12, dividing the OFDM frequency domain signal into V groups of mutually disjoint sub-blocks by a random dividing method, wherein each sub-block is used as an OFDM frequency domain sub-signal X v Constructing an OFDM frequency domain signal X
Where V represents the total number of partitioned sub-blocks, the subscript V represents the sub-block order, V ε {1,2, …, V }.
In order that each block does not interfere with other sub-blocks during multiplicative scrambling, signal quality is guaranteed, preferably, the sub-blocks are equal in size and mutually orthogonal, and elements in each sub-block do not interfere with each other.
Preferably, step S2 is further refined to:
s21, obtaining each OFDM frequency domain sub-signal X through the following formula v Corresponding rotary phase factor b v Each sub-block is assigned a different rotary phase factor
b v ＝e j2πi/V |i＝1,…,V (3)
Where I is the conditional operator.
S22, according to the rotation phase factor b v Permutation and combination in the following formula are carried out to obtain the full space Q of the multiplicative scrambling sequence in the frequency domain scrambling model
Illustratively, when v=3
S23. All OFDM frequency domain sub-signals X v Sequentially inputting a frequency domain scrambling model preset in the following formula to obtain V-! Discrete OFDM result after PTS multiplicative scrambling
In which Q iv The ith row and the ith item element of the full space Q of the multiplicative scrambling sequence.
Preferably, the Spacing evaluation model in step S3 is
Where S is the estimated value of the dispersion of OFDM signals,is->In (c) is the kth frequency domain signal,/is>Is->Is a mean value of (c).
As a discrete center point, the smaller the S value, the higher the dispersion; the peak-to-average ratio is mainly generated by similar phase multi-carrier superposition, and the probability of generating the signal with higher dispersion is smaller, and the signal can be used as an effective suboptimal peak-to-average ratio optimization scheme although the theoretical optimal solution cannot be directly obtained.
In step S3, the above-mentioned V-! Seed discrete OFDM resultDispersion evaluation is performed based on a Spacing evaluation model from V-! Group discrete OFDM result->The smallest Spacing matching discrete OFDM result is selected.
And S4, directly performing IFFT on a discrete OFDM result corresponding to the minimum value of the discrete estimated value to obtain a time domain transmission signal after peak-to-average ratio suppression.
Compared with the prior art, the method has the following beneficial effects.
The existing PTS-based PAPR suppression method (PTS is hereinafter abbreviated as shown in the figure 2) is mainly constrained by calculation complexity, and is difficult to obtain a better PAPR suppression effect, and the trade-off of PAPR suppression performance and implementation complexity is a long-standing problem in the industry and academia. The computational complexity can be understood as the quantifiable resources that a computer needs to consume to calculate an algorithm, and the more the computational power resources need to be consumed, the greater the time delay requirement. Considering comprehensively, the computational complexity of the complex multiplier required by the existing PTS is expressed as:
g 1 ＝V(LN/2)·log 2 LN (7)
the required computational complexity of the real adder is:
g 2 ＝VLNlog 2 LN+(V-1)LN (8)
by analyzing the existing PTS, the computational complexity is mainly focused on: the phase combination is randomly selected m times of search calculation and V groups of IFFT transformation. The computation complexity of the V-group IFFT accounts for most of the weight, and even the computation overhead of m searches is negligible.
The Spacing-PTS improvement method provided by the embodiment has the principle shown in figure 2, avoids the computing overhead of V-1 group IFFT, and finally only generates a group of N-IFFT time domain signals; frequency domain scrambling sum V-! The computation of the set of full space Spacing evaluations is also much less than the computation of a set of IFFTs. As shown in table 1, the calculation complexity of the existing PTS and the calculation complexity of the Spacing-PTS of the present embodiment are compared.
TABLE 1 calculation complexity contrast analysis of the prior PTS technique and the frequency domain improved Spacing-PTS of the present embodiment
In comprehensive quantization consideration, the existing PTS complexity is concentrated in a multiplier, and the Spacing-PTS calculation complexity of the embodiment is only 1/V of the traditional calculation amount. The following analysis is performed by test results, and the existing PTS is compared with the Spacing-PTS performance of the embodiment: firstly, setting the carrier number n=1024 in the OFDM signal, the up-sampling number l=4 in the OFDM system, and the carrier number v=6 in the PTS technique, and performing experimental simulation on the existing PTS and the Spacing-PTS of the present embodiment by using a random segmentation method, as shown in fig. 3. At ccdf=10 -3 Here, the PAPR performance of the Spacing-PTS of the present embodiment is similar to that of the existing PTS algorithm when the preselected space m=32, and is only 0.2dB worse than that of the theoretical extremum PTS m=720. Where m=32 is a common threshold where the existing PTS actual search implementation complexity and delay are acceptable. The Spacing-PTS in the embodiment has the implementation complexity of only about 1/V and about 5.67% on the premise of keeping the peak-to-average power ratio inhibition performance of the existing PTS.
Compared with the embodiment 1, the method provided by the embodiment expands the degrees of freedom of scrambling from the frequency domain and the spatial domain respectively, generates all the alternative signals with extremely small complexity under the condition of full space, carries out Spacing evaluation from the angle of the frequency domain, predicts and accelerates convergence to preselect extremely excellent peak-to-average ratio inhibition signals, and implements all the signals in the frequency domain, thereby effectively avoiding the main complexity of IFFT transformation.
Example 3
The invention also provides a signal processing system corresponding to the method of embodiment 1 or 2, which comprises a preprocessing module, a signal generating and screening module and an output module which are sequentially connected, as shown in fig. 4.
The preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signal, carrying out signal segmentation on the OFDM frequency domain signal obtained by the frequency domain conversion, and transmitting each segmented OFDM frequency domain sub-signal to the signal generation and screening module.
The signal generation and screening module is used for sequentially inputting each OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a discrete OFDM result after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signal; inputting the discrete OFDM result after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value; and selecting a discrete OFDM result corresponding to the minimum value of the dispersion estimated value of the OFDM signal, and transmitting the discrete OFDM result to an output module.
And the output module is used for performing IFFT conversion on the received discrete OFDM result to obtain a time domain transmission signal with suppressed peak-to-average ratio.
Preferably, the preprocessing module performs the following procedure:
SS1 performing OFDM frequency domain conversion (frequency domain framing) on an input M-QAM signal, and establishing an OFDM frequency domain signal corresponding to the M-QAM signal by the following formula
X＝[X 1 ,…,X N ] (9)
Wherein X is N N represents the nth subcarrier of the OFDM frequency domain signal, N represents the number of subcarriers of the OFDM frequency domain signal;
SS2 dividing OFDM frequency domain signal into mutually disjoint sub-blocks by random dividing method, each sub-block being used as an OFDM frequency domain sub-signal
Where V represents the total number of partitioned sub-blocks, subscript V represents the order of sub-blocks, V ε {1,2, …, V };
and SS3, sequentially transmitting each divided OFDM frequency domain sub-signal to a signal generation and screening module.
Preferably, the signal generation and screening module performs the following procedure:
SS4 obtaining each OFDM frequency domain sub-signal X by the following formula v Corresponding rotation phaseBit factor b v
b v ＝e j2πi/V |i＝1,…,V (11)
Where I is the conditional operator.
SS5 according to the above rotary phase factor b v Permutation and combination in the following formula are carried out to obtain the full space Q of the multiplicative scrambling sequence in the frequency domain scrambling model
SS6 combining all OFDM frequency domain sub-signals X v Sequentially inputting a preset frequency domain scrambling model in the following formula to obtain V-! Discrete OFDM result after PTS multiplicative scrambling
In which Q iv The ith row and the ith item element of the full space Q of the multiplicative scrambling sequence.
SS7 inputting the discrete OFDM result after each PTS multiplicative scrambling into a Spacing evaluation model of the following formula to obtain a corresponding OFDM signal dispersion estimated value S
Wherein, as the estimated value of the dispersion of the OFDM signal,is->In (c) is the kth frequency domain signal,/is>Is->Is a mean value of (c).
Those skilled in the art will appreciate that all or part of the flow of the methods of the embodiments described above may be accomplished by way of a computer program to instruct associated hardware, where the program may be stored on a computer readable storage medium. Wherein the computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory, etc.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (4)
1. The PTS peak-to-average ratio optimization method based on the frequency domain preprocessing is characterized by comprising the following steps:
performing frequency domain conversion on an input M-QAM signal, and performing signal segmentation on an OFDM frequency domain signal obtained by frequency domain conversion;
sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signals;
inputting the discrete OFDM result after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value;
searching a discrete OFDM result corresponding to the minimum value of the discrete estimated value of the OFDM signal, and performing IFFT (inverse fast Fourier transform) to obtain a time domain transmission signal with suppressed peak-to-average ratio;
the preset frequency domain scrambling model is that
In the method, in the process of the invention, represents V corresponding to OFDM frequency domain signal-! Discrete OFDM result after PTS multiplicative scrambling, Q iv An ith row and a v term element which are the full space Q of the multiplicative scrambling sequence;
the frequency domain converting of the input M-QAM signal further includes:
carrying out OFDM frequency domain framing on the input M-QAM signal to obtain an OFDM frequency domain signal X corresponding to the M-QAM signal:
X＝[X 1 ，…，X i ，…，X N ]
wherein X is i For an OFDM frequency domain signal transmitted on the ith subcarrier, N represents the number of subcarriers of the OFDM frequency domain signal;
the signal segmentation is performed on the OFDM frequency domain signal obtained by frequency domain conversion, and the method further comprises the following steps:
dividing OFDM frequency domain signals into mutually disjoint subblocks by a random dividing method, wherein each subblock is used as an OFDM frequency domain subblock X v ；
Wherein, X represents OFDM frequency domain signal, V represents total number of divided sub-blocks, subscript V represents sub-block order, V is {1,2, …, V };
inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model in sequence to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signals, and further comprising:
each OFDM frequency domain sub-signal X is obtained by the following formula v Corresponding rotary phase factor b v
b v ＝e j2πi/V |i＝1，…，V
Wherein, | is a conditional operator;
according to the above rotary phase factor b v Permutation and combination in the following formula are carried out to obtain the full space Q of the multiplicative scrambling sequence in the frequency domain scrambling model
All OFDM frequency domain sub-signals X v Sequentially inputting a preset frequency domain scrambling model to obtain V-! Discrete OFDM result after PTS multiplicative scrambling
2. The PTS peak-to-average ratio optimizing method based on frequency domain preprocessing of claim 1, wherein the Spacing evaluation model is
Where S is the estimated value of the dispersion of OFDM signals,is->In (c) is the kth frequency domain signal,/is>Is->Is a mean value of (c).
3. A signal processing system based on frequency domain preprocessing, comprising:
the preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signal, carrying out signal segmentation on the OFDM frequency domain signal obtained by the frequency domain conversion, and transmitting each segmented OFDM frequency domain sub-signal to the signal generation and screening module;
the signal generation and screening module is used for sequentially inputting each OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a discrete OFDM result after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signal; inputting the discrete OFDM result after each PTS multiplicative scrambling into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value; selecting a discrete OFDM result corresponding to the minimum value of the estimated value of the dispersion of the OFDM signal, and transmitting the discrete OFDM result to an output module;
the output module is used for performing IFFT conversion on the received discrete OFDM result to obtain a time domain transmission signal with suppressed peak-to-average ratio;
the signal generation and screening module executes the following procedure to obtain a plurality of discrete OFDM results after PTS multiplicative scrambling corresponding to the OFDM frequency domain signal:
each OFDM frequency domain sub-signal X is obtained by the following formula v Corresponding rotary phase factor b v
b v ＝e j2πi/V |i＝1，…，V
Wherein, | is a conditional operator;
according to the above rotary phase factor b v Permutation and combination in the following formula are carried out to obtain the full space Q of the multiplicative scrambling sequence in the frequency domain scrambling model
All OFDM frequency domain sub-signals X v Sequentially inputting a preset frequency domain scrambling model in the following formula to obtain V-! Discrete OFDM result after PTS multiplicative scrambling
In which Q iv An ith row and a v term element which are the full space Q of the multiplicative scrambling sequence;
the preprocessing module executes the following program:
carrying out OFDM frequency domain framing on the input M-QAM signal to obtain an OFDM frequency domain signal X corresponding to the M-QAM signal:
X＝[X 1 ，…，X i ，…，X N ]
wherein X is i For an OFDM frequency domain signal transmitted on the ith subcarrier, N represents the number of subcarriers of the OFDM frequency domain signal;
dividing OFDM frequency domain signals into mutually disjoint subblocks by a random dividing method, wherein each subblock is used as an OFDM frequency domain subblock X v
Where V represents the total number of partitioned sub-blocks, subscript V represents the order of sub-blocks, V ε {1,2, …, V };
and sequentially transmitting each divided OFDM frequency domain sub-signal to a signal generation and screening module.
4. A signal processing system based on frequency domain preprocessing as claimed in claim 3, wherein said signal generation and filtering module performs the following procedure to obtain an OFDM signal dispersion estimate:
inputting the discrete OFDM result after each PTS multiplicative scrambling into a Spacing evaluation model of the following formula to obtain a corresponding OFDM signal dispersion estimated value S
Wherein S is OFDM signal dispersion estimates,is->In (c) is the kth frequency domain signal,/is>Is->Is a mean value of (c).
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101340417A (en) * | 2008-08-28 | 2009-01-07 | 北京交通大学 | Improved iterative PTS method for lowering peak-average-ratio in OFDM system |
| CN106992952A (en) * | 2017-03-16 | 2017-07-28 | 西安电子科技大学 | The method of peak-to-average force ratio is reduced in ofdm system based on PTS algorithms |
| CN107251500A (en) * | 2015-02-10 | 2017-10-13 | 华为技术有限公司 | It is a kind of to reduce method, device, equipment and the system of peak-to-average force ratio |
| WO2020221226A1 (en) * | 2019-04-30 | 2020-11-05 | 华为技术有限公司 | Side information transmission method and device based on partial transmit sequence technology |
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Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101340417A (en) * | 2008-08-28 | 2009-01-07 | 北京交通大学 | Improved iterative PTS method for lowering peak-average-ratio in OFDM system |
| CN107251500A (en) * | 2015-02-10 | 2017-10-13 | 华为技术有限公司 | It is a kind of to reduce method, device, equipment and the system of peak-to-average force ratio |
| CN106992952A (en) * | 2017-03-16 | 2017-07-28 | 西安电子科技大学 | The method of peak-to-average force ratio is reduced in ofdm system based on PTS algorithms |
| WO2020221226A1 (en) * | 2019-04-30 | 2020-11-05 | 华为技术有限公司 | Side information transmission method and device based on partial transmit sequence technology |
Non-Patent Citations (1)
| Title |
|---|
| A Low Computational Complexity Method of PTS;F. Hu等;2019 IEEE 4th International Conference on Integrated Circuits and Microsystems (ICICM);第205-207页 * |
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