CN112968856A - PTS peak-to-average power ratio optimization method based on frequency domain preprocessing and signal processing system - Google Patents
PTS peak-to-average power 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 power ratio optimization method based on frequency domain preprocessing, belongs to the technical field of optimization of efficiency of wireless communication power amplifiers, and solves the problem that the efficiency optimization capability is limited due to overhigh calculated amount in the conventional PTS-based PAPR restraining method. 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 the frequency domain conversion; 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; inputting the discrete OFDM result after multiplicative scrambling of each PTS 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 OFDM signal dispersion estimated value, and carrying out IFFT transformation to obtain a time domain transmission signal after peak-to-average ratio suppression. The reduction of the computational complexity is realized, and the peak-to-average ratio suppression of the input signal is rapidly and effectively carried out.
Description
Technical Field
The invention relates to the technical field of optimization of wireless communication power amplification efficiency, in particular to a PTS peak-to-average power ratio optimization method and a signal processing system based on frequency domain preprocessing.
Background
With the development of various key technologies such as ultra-dense networks (UDNs), massive MIMO, millimeter wave communication, and the like, a 5G network achieves 1000 times of increase in network capacity and a large connection target of at least 1000 hundred million devices, leading to aggravation of energy consumption crisis. The energy consumption cost is totally consumed with the profit ability of network gradually, and most energy consumption takes place at wireless base station side in the communication process, and the power amplifier inefficiency leads to most energy consumptions to waste with thermal form, has worsened the computer lab environment.
The 5G system employs an Orthogonal Frequency Division Multiplexing (OFDM) system. The OFDM signal is composed of a plurality of subcarriers during transmission, and due to the close phase of adjacent subcarriers, peak superposition of the subcarriers may be caused, which may cause a high peak-to-average ratio, so that the power amplifier may not work in a linear region, which may reduce the working efficiency of the power amplifier, and cause unnecessary energy consumption.
The PAPR suppression method based on Partial Transmit Sequence (PTS) can improve the operating 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 number of IFFT transformations, and complex PAPR time domain evaluation all cause a sudden increase in system computation, thereby constraining the computational overhead of the whole system, and causing the limitation of system efficiency optimization performance.
Disclosure of Invention
In view of the foregoing analysis, embodiments of the present invention provide a PTS peak-to-average power ratio optimization method and a signal processing system based on frequency domain preprocessing, so as to solve the problem that the power optimization capability is limited due to too high calculation amount in the existing PTS-based PAPR reduction method.
In one aspect, an embodiment of the present invention provides a PTS peak-to-average ratio optimizing method based on frequency domain preprocessing, including 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 the frequency domain conversion;
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;
inputting the discrete OFDM result after multiplicative scrambling of each PTS 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 OFDM signal dispersion estimated value, and carrying out IFFT transformation to obtain a time domain transmission signal after peak-to-average ratio suppression.
The beneficial effects of the above technical scheme are as follows: aiming at the defect of high computational complexity of the existing PTS-based PAPR suppression method, a low-complexity PTS peak-to-average power ratio optimization method based on frequency domain preprocessing is provided, and the signal peak-to-average power ratio can be effectively suppressed. V-1 IFFT transformation is avoided through a combination method of preprocessing (frequency domain scrambling) and frequency domain evaluation (preset Spacing evaluation model), complexity of PTS is reduced to about 1/V, an extremely excellent scrambling signal can be preselected before IFFT through the Spacing evaluation model with low peak-to-average ratio probability to serve as a transmission signal, and good peak-to-average ratio inhibition performance is kept 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:
OFDM frequency domain framing is carried out on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X1,…,Xi,…,XN]
In the formula, XiFor 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 above further improved scheme are: the frequency domain OFDM planning and the signal carrier allocation are carried out, 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 signal segmentation of the OFDM frequency domain signal obtained by frequency domain conversion includes:
dividing the OFDM frequency domain signal into mutually disjoint sub-blocks by a random division method, wherein each sub-block is used as an OFDM frequency domain sub-signal Xv
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, …, V }.
The beneficial effects of the above further improved scheme are: the OFDM frequency domain signals are sub-divided, the scrambling freedom degree can be improved, higher constellation dispersion degree can be obtained through higher total block number V, the probability of peak value generation can be effectively reduced, and effective compromise between complexity and peak-to-average ratio inhibition performance of PTS can be realized through sub-division.
Further, the preset frequency domain scrambling model is
In the formula, QivIs the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
The beneficial effects of the above further improved scheme are: the frequency domain scrambling model is a multiplicative scrambling method, can optimize signal dispersion, and can complete 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 discrete OFDM result after multiplicative scrambling of multiple PTS corresponding to the OFDM frequency domain signal, further includes:
obtaining each OFDM frequency domain sub-signal X by the following formulavCorresponding rotational phase factor bv
bv＝ej2πi/V|i＝1,…,V
In the formula, | is a conditional operator;
according to the above-mentioned rotating phase factor bvPermutation and combination in the following formula are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
V！＝V·(V-1)…1
All OFDM frequency domain sub-signals XvSequentially inputting a preset frequency domain scrambling model to obtain V | corresponding to the OFDM frequency domain signal! Discrete OFDM result after PTS multiplicative scrambling
The beneficial effects of the above further improved scheme are: and generating a scrambling code sequence full space Q, finishing frequency domain scrambling, and obtaining the peak-to-average ratio inhibition effect with better performance by more easily and quickly obtaining the optimal solution compared with the existing PTS random sampling scrambling space.
Further, the Spacing evaluation model is
Wherein S is the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
The beneficial effects of the above further improved scheme are: by carrying out Spacing frequency domain dispersion evaluation through the Spacing evaluation model, low peak-to-average ratio signals can be predicted with higher probability, and extremely excellent PTS peak-to-average ratio suppression scrambling signals can be obtained more easily with lower complexity.
On the other hand, an embodiment of the present invention provides a signal processing system based on frequency domain preprocessing, including sequentially connected:
the preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signals, carrying out signal segmentation on the OFDM frequency domain signals obtained by frequency domain conversion, and transmitting each segmented OFDM frequency domain sub-signal to the signal generating 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 multiplicative scrambling of various PTS corresponding to the OFDM frequency domain signal; inputting the discrete OFDM result after multiplicative scrambling of each PTS 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 OFDM signal dispersion estimation value and transmitting the discrete OFDM result to an output module;
and the output module is used for carrying out IFFT transformation on the received discrete OFDM result to obtain a time domain transmission signal after peak-to-average ratio suppression.
The beneficial effects of the above technical scheme are as follows: the complexity of the existing PTS-based PAPR suppression method mainly focuses on IFFT transformation and time-domain PTS scrambling code preference OFDM signals. According to the technical scheme, the PTS scrambling code is predicted to optimize the OFDM signal (namely the discrete OFDM result corresponding to the minimum value of the OFDM signal dispersion estimation value) through the Spacing evaluation model of the frequency domain, the complexity of IFFT (inverse fast Fourier transform) can be avoided, the low peak-to-average ratio scrambling signal is optimized from the whole space with extremely low cost and time delay, and meanwhile, the good peak-to-average ratio suppression performance is kept.
Based on the further improvement of the system, the preprocessing module executes the following programs:
OFDM frequency domain framing is carried out on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X1,…,Xi,…,XN]
In the formula, XiThe number of the ith subcarrier of the OFDM frequency domain signal is N;
dividing the OFDM frequency domain signal into mutually disjoint sub-blocks by a random division method, wherein each sub-block is used as an OFDM frequency domain sub-signal
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, …, V };
and sequentially transmitting each divided OFDM frequency domain sub-signal to a signal generating and screening module.
The beneficial effect of adopting the above further improved scheme is: the degree of freedom of optimization is increased from the frequency domain dimension, multiplicative optimization is completed by more constellation points, and the peak-to-average ratio inhibition performance is improved.
Further, the signal generation and screening module executes the following procedures to obtain various PTS multiplicative scrambled discrete OFDM results corresponding to the OFDM frequency domain signals:
obtaining each OFDM frequency domain sub-signal X by the following formulavCorresponding rotational phase factor bv
bv＝ej2πi/V|i＝1,…,V
In the formula, | is a conditional operator;
according to the above-mentioned rotating phase factor bvPermutation and combination in the following formula are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
All OFDM frequency domain sub-signals XvSequentially inputting a preset frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Discrete OFDM result after PTS multiplicative scrambling
In the formula, QivIs the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
The beneficial effect of adopting the above further improved scheme is: increasing the degree of freedom of optimization from the spatial dimension, making the constellation points multiply discrete in a larger constellation space, generating the OFDM frequency domain discrete signal scrambled by the full-space frequency domain, avoiding the complexity of IFFT transformation, and obtaining all PTS candidate OFDM signals (namely the discrete OFDM result after PTS multiply scrambling)
) And the optimal solution is easier to contain.
Further, the signal generating and screening module executes the following procedures to obtain the estimated value of the dispersion of the OFDM signal:
inputting the discrete OFDM result after multiplicative scrambling of each PTS into a Spacing evaluation model of the following formula to obtain a corresponding OFDM signal dispersion estimation value S
In the formula, the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
The beneficial effect of adopting the above further improved scheme is: and carrying out Spacing evaluation from the PTS candidate OFDM frequency domain signals of the whole space, and rapidly converging to the OFDM signals with low peak-to-average ratio to be used as transmission signals. By carrying out Spacing frequency domain dispersion evaluation through the Spacing evaluation model, low peak-to-average ratio signals can be predicted with higher probability, and extremely excellent PTS peak-to-average ratio suppression scrambling signals can be obtained more easily with lower complexity.
In the invention, the technical schemes can be combined with each other 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 will 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, wherein like reference numerals are used to designate like parts throughout.
FIG. 1 is a schematic diagram of the steps of a PTS peak-to-average power ratio optimization method based on frequency domain preprocessing in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of the PTS peak-to-average power ratio optimization method based on frequency domain preprocessing in embodiment 2 of the present invention;
FIG. 3 is a schematic diagram of the evaluation of peak-to-average power ratio inhibition performance of the PTS peak-to-average power ratio optimization method based on frequency domain preprocessing in embodiment 2 of the present invention;
fig. 4 is a schematic diagram of a signal processing system based on frequency domain preprocessing according to embodiment 3 of the present invention.
Detailed Description
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate preferred embodiments of the invention and together with the description, serve to explain the principles of the invention and not to limit the scope of the invention.
Example 1
A specific embodiment of the present invention discloses a PTS peak-to-average ratio optimization method based on frequency domain preprocessing, as shown in fig. 1, including the following steps:
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 discrete OFDM results after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signals;
s3, inputting the discrete OFDM result after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain a corresponding OFDM signal dispersion estimation value;
and S4, searching a discrete OFDM result corresponding to the minimum value of the OFDM signal dispersion estimation value, and performing IFFT (inverse fast Fourier transform) to obtain a time domain transmission signal after peak-to-average ratio suppression.
Compared with the prior art, the method provided by the embodiment predicts the excellent PAPR suppression OFDM signal by a combination method of preprocessing (frequency domain scrambling) and frequency domain estimation (preset Spacing evaluation model), namely, performing frequency domain dispersion Spacing estimation before time domain IFFT, avoids V-1 IFFT transformation, reduces the complexity of PTS to about 1/V in the prior art, and simultaneously maintains the excellent PAPR suppression effect, thereby becoming an effective method for reducing the computational complexity, which is also called frequency domain optimization Spacing-PTS algorithm. Under the condition of low complexity, the good peak-to-average ratio inhibition performance is kept.
Example 2
Optimization is performed on the basis of embodiment 1, and step S1 is further refined as follows:
s11, OFDM frequency domain framing is carried out on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X1,…,Xi,…,XN] (1)
In the formula, XiFor 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 division method, wherein each sub-block is used as an OFDM frequency domain sub-signal XvTo construct an OFDM frequency domain signal X
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, …, V }.
In order to ensure signal quality without interfering with other sub-blocks during multiplicative scrambling, the sub-blocks are preferably equal in size and orthogonal to each other, and the elements in each sub-block do not interfere with each other.
Preferably, step S2 is further refined as:
s21, obtaining each OFDM frequency domain sub-signal X through the following formulavCorresponding rotational phase factor bvEach sub-block being assigned a different rotating phase factor
bv＝ej2πi/V|i＝1,…,V (3)
Where, | is a conditional operator.
S22, according to the rotating phase factor bvPermutation and combination in the following formula are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
Exemplarily, when V is 3
S23, all OFDM frequency domain sub-signals XvSequentially inputting a preset frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Discrete OFDM result after PTS multiplicative scrambling
In the formula, QivIs the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
Preferably, the Spacing evaluation model in step S3 is
Wherein S is the OFDM signal dispersion estimated value,
is composed of
The k-th frequency ofThe signal of the domain is then transmitted,
is composed of
Is measured.
It should be noted that step S3 is executed for the above-mentioned V! A discrete OFDM result
Carrying out dispersion evaluation based on Spacing evaluation model from V! Grouping discrete OFDM results
And selecting the discrete OFDM result with the minimum Spacing matching.
Step S4 directly performs IFFT on the discrete OFDM result corresponding to the minimum value of the dispersion estimate, to obtain a time domain transmission signal with suppressed peak-to-average ratio.
Compared with the prior art, the method has the following beneficial effects.
The existing PAPR suppression method based on PTS (PTS for short, the principle is shown in fig. 2) is mainly constrained by the computational complexity, so that it is difficult to obtain a good PAPR suppression effect, and the compromise between PAPR suppression performance and implementation complexity is a problem in the industry and academia. The computational complexity can be understood as the quantifiable resources consumed by a computer to calculate an algorithm, and the more computation resources and the greater the delay requirement. Taken together, the computational complexity of the complex multiplier required by the existing PTS is expressed as:
g1＝V(LN/2)·log2LN (7)
the computational complexity of the required real adder is:
g2＝VLNlog2LN+(V-1)LN (8)
by analyzing the existing PTS, the computational complexity is mainly focused on: and combining m times of search calculation and V groups of IFFT transformation which are randomly selected by phase combination. The computation complexity of the V-group IFFT accounts for most of the factors, and even the computational overhead of m searches is negligible.
The principle of the Spacing-PTS improvement method provided by the embodiment is shown in FIG. 2, V-1 group IFFT calculation cost is avoided, and finally only one group of time domain signals of N-IFFT are generated; frequency domain scrambling and V! The computational effort of the set of full-space Spacing estimates is also much smaller than the computational effort of a set of IFFTs. As shown in table 1, the computational complexity of the existing PTS and the Spacing-PTS computational complexity of the present embodiment are compared.
TABLE 1 comparative analysis of computational complexity of the existing PTS technique and the frequency domain improved Spacing-PTS of the present embodiment
In comprehensive quantization consideration, the complexity of the existing PTS is concentrated on a multiplier, and the Spacing-PTS calculation complexity of the embodiment is only 1/V of the calculation amount. The following test results show that the performance of the existing PTS is compared with that of the Spacing-PTS of the embodiment: first, the carrier number N in the OFDM signal is set to 1024, the up-sampling number L in the OFDM system is set to 4, and the subcarrier number V in the PTS technique is set to 6, and an experimental simulation is performed on the existing PTS and the Spacing-PTS of this embodiment by using a random division method, as shown in fig. 3. In case of CCDF being 10-3Here, the PAPR performance of the Spacing-PTS in this embodiment is similar to that of the existing PTS algorithm when the pre-selected space m is 32, and is only 0.2dB different from that of the theoretical extreme value PTS m of 720. Where m-32 is the general selection threshold that the complexity and delay of the actual search implementation of the existing PTS are acceptable. The Spacing-PTS in the embodiment realizes complex realization on the premise of keeping the peak-to-average power ratio (PAPR) inhibition performance of the existing PTSThe degree is only about 1/V, about 5.67%.
Compared with the embodiment 1, the method provided by the embodiment expands the scrambling freedom degrees from the frequency domain and the space domain respectively, generates all the alternative signals with extremely small complexity under the condition of full space, performs Spacing evaluation from the angle of the frequency domain, predicts and accelerates convergence to pre-select the extremely excellent peak-to-average ratio suppression signals, and implements all the alternative 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 connected in sequence, as shown in fig. 4.
The preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signals, carrying out signal segmentation on the OFDM frequency domain signals obtained by frequency domain conversion, and transmitting each segmented OFDM frequency domain sub-signal to the signal generating 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 multiplicative scrambling of various PTS corresponding to the OFDM frequency domain signal; inputting the discrete OFDM result after multiplicative scrambling of each PTS 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 OFDM signal dispersion estimation value and transmitting the discrete OFDM result to an output module.
And the output module is used for carrying out IFFT transformation on the received discrete OFDM result to obtain a time domain transmission signal after peak-to-average ratio suppression.
Preferably, the preprocessing module executes the following program:
SS1, performing OFDM frequency domain conversion (frequency domain framing) on the input M-QAM signal, and establishing an OFDM frequency domain signal corresponding to the M-QAM signal by the following formula
X＝[X1,…,XN] (9)
In the formula, XNN represents the nth subcarrier of the OFDM frequency domain signal, and N represents the number of subcarriers of the OFDM frequency domain signal;
SS2, dividing the OFDM frequency domain signal into mutually disjoint sub-blocks by a random division method, wherein each sub-block is used as an OFDM frequency domain sub-signal
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, …, V };
and SS3, sequentially transmitting each divided OFDM frequency domain sub-signal to a signal generating and screening module.
Preferably, the signal generation and screening module executes the following program:
SS4. obtaining each OFDM frequency domain sub-signal X by the following formulavCorresponding rotational phase factor bv
bv＝ej2πi/V|i＝1,…,V (11)
Where, | is a conditional operator.
SS5. rotating the phase factor b according to abovevPermutation and combination in the following formula are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
SS6. all OFDM frequency domain sub-signals XvSequentially inputting a preset frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Discrete OFDM result after PTS multiplicative scrambling
In the formula, QivIs the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
SS7, inputting the discrete OFDM result after multiplicative scrambling of each PTS into a Spacing evaluation model of the following formula to obtain a corresponding OFDM signal dispersion estimation value S
In the formula, the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
Those skilled in the art will appreciate that all or part of the flow of the method implementing the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium, to instruct related hardware. The computer readable storage medium is a magnetic disk, an optical disk, a read-only memory or a random access memory.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention.
Claims (10)
1. A PTS peak-to-average power ratio optimization method based on 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 the frequency domain conversion;
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;
inputting the discrete OFDM result after multiplicative scrambling of each PTS 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 OFDM signal dispersion estimated value, and carrying out IFFT transformation to obtain a time domain transmission signal after peak-to-average ratio suppression.
2. The PTS peak-to-average power ratio optimizing method based on frequency-domain preprocessing of claim 1, wherein the frequency-domain converting the input M-QAM signal further comprises:
OFDM frequency domain framing is carried out on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X1,…,Xi,…,XN]
In the formula, XiFor the ith subcarrier of the OFDM frequency domain signal, N represents the number of subcarriers of the OFDM frequency domain signal.
3. The PTS peak-to-average power ratio optimizing method based on frequency-domain preprocessing according to claim 1 or 2, wherein the signal-dividing the frequency-domain-converted OFDM signal further comprises:
dividing the OFDM frequency domain signal into mutually disjoint sub-blocks by a random division method, wherein each sub-block is used as an OFDM frequency domain sub-signal Xv；
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, …, V }.
4. The PTS peak-to-average power ratio optimization method based on frequency domain preprocessing of claim 3, wherein the preset frequency domain scrambling model is
In the formula, QivIs the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
5. The PTS peak-to-average power ratio optimization method based on frequency domain preprocessing of claim 1 or 4, wherein the dividing each OFDM frequency domain sub-signal is sequentially inputted into a preset frequency domain scrambling model to obtain a plurality of PTS multiplicative scrambled discrete OFDM results corresponding to the OFDM frequency domain signal, further comprising:
obtaining each OFDM frequency domain sub-signal X by the following formulavCorresponding rotational phase factor bv
bv＝ej2πi/V|i＝1,…,V
In the formula, | is a conditional operator;
according to the above-mentioned rotating phase factor bvPermutation and combination in the following formula are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
All OFDM frequency domain sub-signals XvSequentially inputting a preset frequency domain scrambling model to obtain V | corresponding to the OFDM frequency domain signal! Discrete OFDM result after PTS multiplicative scrambling
6. The PTS peak-to-average power ratio optimization method based on frequency domain preprocessing as claimed in claim 5, wherein the Spacing evaluation model is
Wherein S is the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
7. 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 signals, carrying out signal segmentation on the OFDM frequency domain signals obtained by frequency domain conversion, and transmitting each segmented OFDM frequency domain sub-signal to the signal generating 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 multiplicative scrambling of various PTS corresponding to the OFDM frequency domain signal; inputting the discrete OFDM result after multiplicative scrambling of each PTS 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 OFDM signal dispersion estimation value and transmitting the discrete OFDM result to an output module;
and the output module is used for carrying out IFFT transformation on the received discrete OFDM result to obtain a time domain transmission signal after peak-to-average ratio suppression.
8. The signal processing system according to claim 7, wherein the pre-processing module performs the following procedure:
OFDM frequency domain framing is carried out on the input M-QAM signal to obtain an OFDM frequency domain signal corresponding to the M-QAM signal
X＝[X1,…,Xi,…,XN]
In the formula, XiThe number of the ith subcarrier of the OFDM frequency domain signal is N;
dividing the OFDM frequency domain signal into mutually disjoint sub-blocks by a random division method, wherein each sub-block is used as an OFDM frequency domain sub-signal
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, …, V };
and sequentially transmitting each divided OFDM frequency domain sub-signal to a signal generating and screening module.
9. The signal processing system of claim 8, wherein the signal generation and filtering module performs the following procedure to obtain a plurality of PTS multiplicative scrambled discrete OFDM results corresponding to OFDM frequency domain signals:
obtaining each OFDM frequency domain sub-signal X by the following formulavCorresponding rotational phase factor bv
bv＝ej2πi/V|i＝1,…,V
In the formula, | is a conditional operator;
according to the above-mentioned rotating phase factor bvPermutation and combination in the following formula are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
All OFDM frequency domain sub-signals XvSequentially inputting a preset frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Multiplying PTSScrambled discrete OFDM results
In the formula, QivIs the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
10. The signal processing system according to claim 9, wherein the signal generating and filtering module performs the following procedure to obtain the OFDM signal dispersion estimation value:
inputting the discrete OFDM result after multiplicative scrambling of each PTS into a Spacing evaluation model of the following formula to obtain a corresponding OFDM signal dispersion estimation value S
In the formula, the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
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