CN112968855B - PTS peak-to-average power ratio (PTS) suppression method based on space optimization and data processing system - Google Patents
PTS peak-to-average power ratio (PTS) suppression method based on space optimization and data processing system Download PDFInfo
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Abstract
The invention relates to a PTS peak-to-average power ratio restraining method based on space optimization, belongs to the technical field of optimization of wireless communication power amplification efficiency, and solves the problem that the prior art cannot give consideration to peak-to-average power ratio restraining and complexity reduction at the same time. The method comprises the following steps: performing frequency domain conversion on an input M-QAM signal to generate an OFDM frequency domain signal, and performing signal segmentation on the OFDM frequency domain signal; sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signals; inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimated values, arranging the estimated values from small to large, and identifying the frequency domain discrete signals corresponding to the previous m estimated values; and respectively performing time domain PAPR evaluation on each frequency domain discrete signal obtained by the identification, and obtaining a time domain transmission signal after the peak-to-average ratio is finally inhibited based on the frequency domain discrete signal corresponding to the minimum evaluation result.
Description
Technical Field
The invention relates to the technical field of optimization of wireless communication power amplifier efficiency, in particular to a PTS peak-to-average power ratio (PTS) suppression method and a data processing system based on space optimization.
Background
Multicarrier modulation is crucial to the implementation of ultra-wideband systems. The problem of power consumption in analog modulation is more pronounced when the transmission bandwidth reaches a limit. The power amplifier leads the energy consumption of a base station in any type of wireless communication, the problem of high peak-to-average power ratio (PAPR) is more prominent in a future communication system, the requirement of ultra-wideband can be met by depending on frequency bands such as millimeter waves and terahertz, and the defect of insufficient energy conversion rate of the ultrahigh frequency power amplifier is also faced.
The low hardware cost is considered, and the power amplifier distortion is optimized from the signal perspective, wherein the probability of the signal appearing in a distortion area is mainly reduced by using the conventional PAPR suppression algorithm. Existing PAPR suppression algorithms include pre-distortion methods (clipping algorithm, constellation extension ACE algorithm), partial Transmit Sequence (PTS) methods, and the like. The predistortion method is most widely applied in the engineering field, however, as high-order QAM is modulated into 5G and the mainstream of future communication, the shift of the inner layer vector of the constellation diagram with extremely high proportion is limited, and the method cannot contribute to peak optimization. Compared with a predistortion method, the PTS has a good signal peak-to-average power ratio suppression effect and has compatibility with an ultra-wideband high-order QAM system.
However, the existing PTS has extremely high computational complexity, and usually a compromise needs to be made between peak-to-average ratio suppression performance and the computational complexity, so that a theoretical optimal solution cannot be obtained under the constraint condition of complexity realization, and a great improvement space exists.
Disclosure of Invention
In view of the foregoing analysis, the embodiments of the present invention are directed to providing a PTS peak-to-average ratio suppression method based on spatial optimization, so as to solve the problem that the prior art cannot simultaneously achieve both peak-to-average ratio suppression and complexity reduction.
In one aspect, an embodiment of the present invention provides a PTS peak-to-average power ratio suppression method based on spatial optimization, including the following steps:
performing frequency domain conversion on an input M-QAM signal to generate an OFDM frequency domain signal, and performing signal segmentation on the OFDM frequency domain signal;
sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signals;
respectively inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimation values, arranging the estimation values from small to large, and identifying the frequency domain discrete signals corresponding to the first m estimation values in the arrangement;
and respectively carrying out time domain PAPR evaluation on each frequency domain discrete signal obtained by identification, and obtaining a time domain transmission signal after the peak-to-average ratio is finally inhibited based on the frequency domain discrete signal corresponding to the minimum evaluation result.
The beneficial effects of the above technical scheme are as follows: the main defects of the existing PTS are that the IFFT transformation, the PAPR time domain evaluation and the combined search cause the calculation complexity and the calculation power overhead of the system to be increased greatly, the peak-to-average ratio suppression effect compromise scheme is difficult to achieve the optimal solution under the constraint of the complexity of the system realization, and a large optimization space exists. The technical scheme provides a PTS peak-to-average power ratio (PAPR) suppression method with optimal frequency domain, a small number of frequency domain discrete signals containing optimal solutions are optimized from the whole space through frequency domain Spacing evaluation, then the discrete OFDM signals corresponding to the optimal scrambling code sequences (namely the frequency domain discrete signals corresponding to the minimum evaluation results) are accurately positioned through time domain PAPR evaluation, and the best effect of PAPR suppression is obtained under the condition that the complexity is not obviously increased.
Based on a further improvement of the foregoing method, the step of performing frequency domain conversion on the input M-QAM signal to generate an OFDM frequency domain signal further includes:
carrying out OFDM frequency domain framing on the input M-QAM signal to obtain a subcarrier corresponding to each frame modulation fragment;
establishing OFDM frequency domain signal X corresponding to the M-QAM signal according to all the obtained subcarriers
X＝[X 1 ,…,X N ]
In the formula, X 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 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-dividing the OFDM frequency domain signal further 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 X v
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, \ 8230;, 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 can be obtained through higher block number, 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-block division.
Furthermore, all sub-blocks are equal in size and orthogonal to each other, and elements in each sub-block are independent from each other.
The beneficial effects of the above further improved scheme are: each subblock can be ensured not to interfere other subblocks when multiplicative scrambling is carried out, and the signal quality is fully ensured.
Further, the step of sequentially inputting each of the divided OFDM frequency domain sub-signals into a preset frequency domain scrambling model to obtain a plurality of PTS multiplicative scrambled frequency domain discrete signals corresponding to the OFDM frequency domain signal further includes:
obtaining each OFDM frequency domain sub-signal X by the following formula v Corresponding rotational phase factor b v
b v ＝e j2πi/V |i＝1,…,V
Rotating the phase factor b v All possible permutation and combination 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 X v Sequentially inputting the frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Frequency domain discrete signal after PTS multiplicative scrambling
In the formula, Q iv Is 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 method is a multiplicative scrambling method, can optimize signal dispersion, carries out corresponding multiplicative descrambling at a receiving end, and can effectively reduce the peak-to-average ratio under the condition of no signal quality loss.
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, a signal with low peak-to-average ratio can be predicted with higher probability, and a scrambling signal with excellent PTS peak-to-average ratio suppression can be obtained more easily with lower complexity.
Further, the step of performing time domain PAPR evaluation on each frequency domain discrete signal obtained by the above identification, obtaining a frequency domain discrete signal corresponding to the minimum evaluation result, and obtaining a time domain transmission signal after peak-to-average power ratio suppression based on the frequency domain discrete signal further includes:
dispersing each frequency domain signal
Performing frequency domain random partition, and dividing into mutually disjoint sub-blocks X iv ', all frequency-domain discrete signals are divided into V sub-blocks of the same size
Performing N-IFFT time domain transformation on each sub-block to obtain m frequency domain discrete signals
Each corresponding Q iv According to the followingForm pair
Time domain PTS multiplicative scrambling is carried out to obtain m OFDM time domain signals after time domain scrambling
i∈[1,…,m]
OFDM time domain signal after scrambling m time domains
Respectively carrying out PAPR evaluation in the following formula, identifying the OFDM time domain signal after time domain scrambling corresponding to the minimum evaluation result, and using the OFDM time domain signal as a time domain transmission OFDM signal
k∈[1,…,N]
In the formula (I), the compound is shown in the specification,
is composed of
The kth element in (1), argmin () represents the take minimum function.
The beneficial effects of the above further improved scheme are: and optimizing m rows of elements from the full space Q of the multiplicative scrambling sequence according to frequency domain Spacing evaluation, and compared with m randomly sampled signals, accurately including an optimal solution, and accurately positioning the optimal solution and the optimized OFDM signal (a time domain transmission signal after final peak-to-average ratio suppression) in the time domain dimensional PAPR evaluation process.
Further, the method comprises the step of determining an optimal m-value:
dividing N subcarriers of an OFDM frequency domain signal to be transmitted in training data into V groups of mutually disjoint sub-blocks, and inputting the sub-blocks into the frequency domain scrambling model to perform frequency domain scrambling;
setting initial m =1, inputting the discrete signal after scrambling of each frequency domain into the Spacing evaluation model to obtain a signal dispersion estimation value, arranging the estimation values from small to large, and identifying Q corresponding to the discrete signals corresponding to the previous m estimation values in the arrangement iv Establishing a preferred space;
respectively performing time domain PAPR evaluation on each frequency domain discrete signal obtained by identification according to an optimal space to obtain a frequency domain discrete signal corresponding to a minimum evaluation result;
comparing whether the frequency domain discrete signal corresponding to the minimum evaluation result is with V in the training data! Optimal solution anastomosis in full space
And if the optimal solution is not contained, enabling m = m +1, and repeating the steps until the optimal solution is contained as the optimal m value.
The beneficial effects of the above further improved scheme are: and obtaining a minimum optimal space containing the optimal solution, namely an optimal m value, through offline training, reducing the number of searches by reducing the optimal space, realizing the reduction of complexity and time delay, and accelerating the convergence speed of the optimal solution.
On the other hand, an embodiment of the present invention provides a data processing system based on space optimization, including sequentially connected:
the preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signal to generate an OFDM frequency domain signal; performing signal segmentation on the OFDM frequency domain signal to generate an OFDM frequency domain sub-signal and transmitting the OFDM frequency domain sub-signal to a data processing module;
the data processing module is used for sequentially inputting each received OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of PTS multiplicative scrambled frequency domain discrete signals corresponding to the OFDM frequency domain signals; inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimated values; arranging all the estimated values from small to large, identifying frequency domain discrete signals corresponding to the first m estimated values in the arrangement, and transmitting the frequency domain discrete signals to a signal generation module;
and the signal generation module is used for respectively carrying out time domain PAPR evaluation on each received frequency domain discrete signal and obtaining a time domain transmission signal after the peak-to-average ratio is finally inhibited based on the frequency domain discrete signal corresponding to the minimum evaluation result.
The beneficial effects of the above technical scheme are: the main defects of the existing PTS are that the IFFT transformation, the PAPR time domain evaluation and the combined search cause the calculation complexity and the calculation power overhead of the system to be increased greatly, the peak-to-average ratio suppression effect compromise scheme is difficult to achieve the optimal solution under the constraint of the complexity of the system realization, and a large optimization space exists. The system is a PTS peak-to-average ratio suppression scheme with optimal frequency domain, a small amount of frequency domain discrete signals containing optimal solutions are optimized from the whole space through frequency domain Spacing evaluation, then the discrete OFDM signals corresponding to the optimal scrambling code sequences (namely the frequency domain discrete signals corresponding to the minimum evaluation results) are accurately positioned through time domain PAPR evaluation, and the optimal effect of PAPR suppression is obtained under the condition that the complexity is not obviously increased.
Based on the further improvement of the system, the frequency domain scrambling model is
In the formula, Q iv Is the ith row and the v element of the full space Q of the multiplicative scrambling sequence,
for frequency-domain discrete signals after multiplicative scrambling of PTS, X v Is an OFDM frequency domain sub-signal, i =1, \8230;, V! (ii) a
The Spacing evaluation model is
Wherein S is an estimated value of dispersion of the OFDM signal,
is composed of
The k-th frequency-domain signal in (b),
is composed of
Of the average value of (a).
The beneficial effects of the above further improved scheme are: and (3) performing Spacing evaluation from PTS candidate OFDM frequency domain signals (frequency domain discrete signals after multiple PTS multiplicative scrambling) in the whole space, predicting low peak-to-average ratio OFDM signals (frequency domain discrete signals corresponding to the first m estimated values), preferably selecting targeted alternative signals, and ensuring that the optimal solution (time domain transmission signals after final peak-to-average ratio suppression) can be quickly positioned and searched 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 the 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 PTS peak-to-average ratio suppression method based on spatial optimization in embodiment 1 of the present invention;
FIG. 2 is a schematic diagram of the PTS peak-to-average power ratio suppression method in accordance with the embodiment 1 of the present invention;
FIG. 3 is a schematic diagram of a data processing system based on space optimization according to embodiment 3 of the present invention;
fig. 4 is a schematic diagram of the peak-to-average ratio suppression performance of the method of the embodiment of the invention when m = 4;
fig. 5 is a schematic diagram of the peak-to-average ratio suppression performance of the method of the embodiment of the invention when m = 40.
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
One embodiment of the present invention discloses a PTS peak-to-average ratio suppressing method based on spatial optimization, as shown in fig. 1, including the following steps:
s1, performing frequency domain conversion on an input M-QAM signal to generate an OFDM frequency domain signal, and performing signal segmentation on the OFDM frequency domain signal;
s2, sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signals;
s3, respectively inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimation values, arranging the estimation values from small to large, and identifying the frequency domain discrete signals corresponding to the first m estimation values in the arrangement;
and S4, respectively carrying out time domain PAPR evaluation on each frequency domain discrete signal obtained by the identification, and obtaining a time domain transmission signal after the peak-to-average ratio is finally inhibited based on the frequency domain discrete signal corresponding to the minimum evaluation result.
Compared with the prior art, the method provided by the embodiment has the advantage of low complexity. The main defects of the existing PTS are that the computation complexity and the computation overhead of a system are increased greatly due to IFFT transformation, PAPR time domain evaluation and combined search, and the optimal solution is difficult to achieve by a compromise scheme of the peak-to-average ratio inhibition effect under the constraint of the complexity of system implementation, so that a large optimization space exists. The method provides a PTS peak-to-average ratio suppression scheme with optimal frequency domain, a small amount of frequency domain discrete signals containing optimal solutions are selected from the whole space through frequency domain Spacing evaluation, then the discrete OFDM signals corresponding to the optimal scrambling code sequences (namely the frequency domain discrete signals corresponding to the minimum evaluation results) are accurately positioned through time domain PAPR evaluation, and the optimal effect of PAPR suppression is obtained under the condition that the complexity is not obviously increased.
Example 2
Optimization is performed on the basis of embodiment 1, and step S1 is further refined as follows:
s11, carrying out OFDM frequency domain framing on the input M-QAM signal to obtain a subcarrier corresponding to each frame of modulation segment; the time intervals corresponding to each frame of modulation fragment are the same;
s12, establishing an OFDM frequency domain signal X corresponding to the M-QAM signal according to all the obtained subcarriers
X＝[X 1 ,…,X N ] (1)
In the formula, X i The number of the ith subcarrier of the OFDM frequency domain signal is N;
s13, carrying out frequency domain division on the OFDM frequency domain signal through a random division method, dividing the OFDM frequency domain signal into mutually disjoint sub-blocks, wherein all the sub-blocks are equal in size (namely the sub-carriers contained in the sub-blocks are equal in number) and mutually orthogonal (the sub-carriers of different sub-blocks are in different bandwidths), elements in each sub-block are mutually independent (the sub-carrier frequency of each sub-block is different), and each sub-block is used as an OFDM frequency domain sub-signal X v
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, \ 8230;, V }.
Preferably, each sub-block is divided into an effective carrier bit and a virtual carrier bit, the effective carrier bit is a sub-carrier obtained by frequency domain division, and the virtual carrier bit is set to 0, wherein the effective carrier bit of each sub-block is a virtual carrier in other sub-blocks.
Preferably, step S2 is further subdivided into:
s21, obtaining each OFDM frequency domain sub-signal X through the following formula v Corresponding rotational phase factor b v
b v ＝e j2πi/V |i＝1,…,V (3)
S22, rotating the phase factor b v All possible permutation and combination are carried out to obtain the multiplicative scrambling code sequence total space Q in the frequency domain scrambling model
V！＝V·(V-1)…1
Exemplarily, V =3
S23, all OFDM frequency domain sub-signals X v Sequentially inputting the frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Frequency domain discrete signal after PTS multiplicative scrambling
In the formula, Q iv Is the ith row and the v element of the full space Q of the multiplicative scrambling code sequence.
Preferably, the Spacing evaluation model preset in step S3 is
Wherein S is the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal in (b),
is composed of
Of the average value of (a).
The value of m is predetermined, and the setting method will be described in detail later. And obtaining a static minimum m value (optimal m value) by utilizing offline training search to reduce the implementation complexity, and once the m value is confirmed, directly calling the m value during application.
Preselecting m alternative frequency domain discrete signals with lower peak-to-average ratio through the step S3; and then, converting each selected frequency domain discrete signal into a time domain through the step S4, performing time domain PTS multiplicative scrambling, performing time domain PAPR evaluation on the scrambled signals, and searching the time domain scrambled signals corresponding to the minimum PAPR evaluation result to be used as the time domain transmission signals after the peak-to-average power ratio is finally inhibited.
Preferably, step S4 is further refined to:
s41, dispersing each frequency domain signal
Performing frequency domain random partition, and dividing into mutually disjoint sub-blocks X iv ' all frequency domain discrete signals are divided into V subblocks of the same size
S42, performing N-IFFT time domain transformation on each subblock to obtain m frequency domain discrete signals
Each corresponding Q iv According to the following formula
Time domain PTS multiplicative scrambling is carried out to obtain m OFDM time domain signals after time domain scrambling
i∈[1,…,m]
S43, scrambling m time domains to obtain OFDM time domain signals
Respectively performing PAPR evaluation in the following formula, identifying the OFDM time domain signal after time domain scrambling corresponding to the minimum evaluation result, and using the OFDM time domain signal as a time domain transmission OFDM signal
k∈[1,…,N]
In the formula (I), the compound is shown in the specification,
is composed of
The kth element of (1), argmin () represents the take minimum function。
Preferably, the method for suppressing the spatially preferred PTS peak-to-average ratio further includes the step of determining an optimal m value:
s01, dividing N subcarriers of an OFDM frequency domain signal to be transmitted in training data into V groups of mutually disjoint sub-blocks, and inputting the sub-blocks into a frequency domain scrambling model to perform frequency domain scrambling;
s02, setting initial m =1, inputting the discrete signal scrambled by each frequency domain into the Spacing evaluation model to obtain a signal dispersion evaluation value, arranging the evaluation values from small to large, and identifying Q corresponding to the discrete signals corresponding to the previous m evaluation values in the arrangement iv Establishing a preferred space;
s03, respectively carrying out time domain PAPR evaluation on each frequency domain discrete signal obtained by the identification according to an optimal space to obtain a frequency domain discrete signal corresponding to a minimum evaluation result;
s04, comparing whether the frequency domain discrete signal corresponding to the minimum evaluation result is equal to V! Optimal solution fitting in full space
In the formula (I), the compound is shown in the specification,
is composed of
The expectation is that.
And S05, if the optimal solution is not contained, enabling m = m +1, repeating the steps until the optimal solution is contained, taking the optimal solution as the optimal m value, and finishing the training of all the training data in sequence.
Compared with embodiment 1, the principle of the method provided by this embodiment is shown in fig. 2, the CCDF probability density curve in a large sample space is steady, a static minimum m value can be obtained by searching in an offline training manner, so as to reduce the complexity of implementation, and the complexity of calculation is not introduced in the offline training process.
Example 3
The invention also provides a data processing system corresponding to the methods of embodiments 1 and 2, as shown in fig. 3, comprising a preprocessing module, a data processing module, and a signal generating module, which are connected in sequence.
The preprocessing module is used for carrying out frequency domain conversion on the input M-QAM signal to generate an OFDM frequency domain signal; and performing signal segmentation on the OFDM frequency domain signal to generate an OFDM frequency domain sub-signal and transmitting the OFDM frequency domain sub-signal to a data processing module.
The data processing module is used for sequentially inputting each received OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiplicative scrambling of various PTS corresponding to the OFDM frequency domain signals; inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimation values; and all the estimation values are arranged from small to large, frequency domain discrete signals corresponding to the first m estimation values in the arrangement are identified, and the frequency domain discrete signals are transmitted to a signal generation module.
Preferably, the preset frequency domain scrambling model is
In the formula, Q iv Is the ith row and the v element of the full space Q of the multiplicative scrambling sequence,
for frequency-domain discrete signals after multiplicative scrambling of PTS, X v Is an OFDM frequency domain sub-signal, i =1, \8230;, V! .
The preset Spacing evaluation model is
Wherein S is an estimated value of dispersion of the OFDM signal,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
And the signal generation module is used for respectively carrying out time domain PAPR evaluation on each received frequency domain discrete signal and obtaining a time domain transmission signal after the final peak-to-average ratio is restrained based on the frequency domain discrete signal corresponding to the minimum evaluation result.
The existing PTS (conventional PTS) is compared with the frequency domain preferred FTD-PTS performance of the present embodiment by experimental analysis. Firstly, the number of carriers N =1024 in an OFDM signal, the number of upsamples L =4 in an OFDM system, the number of subcarriers V =6 in a PTS technique are set, and an experimental simulation is performed on the existing PTS and the FTD-PTS method of this embodiment by using a random division method, as shown in fig. 4 to 5. When m =4, at CCDF =10 -3 And the PAPR performance of the FTD-PTS is far superior to that of the existing PTS algorithm, and 1.5dB peak-to-average ratio suppression gain exists. When the PAPR performance of the m =40FTD-PTS is overlapped with the theoretical extreme value, the optimal solution is equivalently obtained. Wherein, m =40 is close to the general selection threshold which can be received by the complexity and time delay of the traditional PTS actual search implementation. Therefore, the method of the embodiment obviously reduces the complexity on the premise of keeping the peak-to-average power ratio (PTS) inhibition performance.
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, etc.
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 (8)
1. A PTS peak-to-average power ratio (PAPR) suppression method based on spatial optimization is characterized by comprising the following steps of:
performing frequency domain conversion on an input M-QAM signal to generate an OFDM frequency domain signal, and performing signal segmentation on the OFDM frequency domain signal;
the step of signal-dividing the OFDM frequency domain signal further includes:
the OFDM frequency domain signal is divided into sub-blocks which are not intersected with each other by a random division method, and each sub-block is used as an OFDM frequency domain sub-signal X v
In the formula, V represents the total number of segmented subblocks, subscript V represents subblock order, and V belongs to {1,2, \8230;, V };
sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signals;
the step of sequentially inputting each divided OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain a plurality of PTS multiplicative scrambled frequency domain discrete signals corresponding to the OFDM frequency domain signal further includes:
obtaining each OFDM frequency domain sub-signal X by the following formula v Corresponding rotational phase factor b v
b v ＝e j2πi/V |i＝1,…,V
Rotating the phase factor b v All possible permutation and combination are carried out to obtain multiplicative scrambling code sequence in the frequency domain scrambling modelColumn total space Q
All OFDM frequency domain sub-signals X v Sequentially inputting the frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Frequency domain discrete signal after PTS multiplicative scrambling
In the formula, Q iv Is the ith row and the v item element of the multiplicative scrambling sequence total space Q;
respectively inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimation values, arranging the estimation values from small to large, and identifying the frequency domain discrete signals corresponding to the first m estimation values in the arrangement;
and respectively performing time domain PAPR evaluation on each frequency domain discrete signal obtained by the identification, and obtaining a time domain transmission signal after the peak-to-average ratio is finally inhibited based on the frequency domain discrete signal corresponding to the minimum evaluation result.
2. The method for suppressing PTS peak-to-average power ratio based on spatial preference of claim 1, wherein said step of performing frequency domain conversion on the input M-QAM signal to generate an OFDM frequency domain signal further comprises:
carrying out OFDM frequency domain framing on the input M-QAM signal to obtain a subcarrier corresponding to each frame modulation fragment;
establishing an OFDM frequency domain signal X corresponding to the M-QAM signal according to all the obtained subcarriers
X＝[X 1 ,…,X N ]
In the formula, X i Is OFDThe ith subcarrier of the M frequency domain signal, N represents the number of subcarriers of the OFDM frequency domain signal.
3. The method of claim 2, wherein all sub-blocks are equal in size and orthogonal to each other, and the elements in each sub-block are independent.
4. The PTS peak-to-average power ratio suppression method according to claim 3, wherein the Spacing evaluation model is
Wherein S is an estimated value of dispersion of the OFDM signal,
is composed of
The k-th frequency-domain signal of (a),
is composed of
Is measured.
5. The PTS PAPR suppression method according to claim 4, wherein the step of performing time domain PAPR estimation on each frequency domain discrete signal obtained by the identification to obtain the frequency domain discrete signal corresponding to the minimum estimation result, and obtaining the time domain transmission signal after PAPR suppression based on the frequency domain discrete signal further comprises:
dispersing each frequency domain signal
Performing frequency domain random partition, and dividing into mutually disjoint sub-blocks X iv ', all frequency-domain discrete signals are divided into V sub-blocks of the same size
Performing N-IFFT time domain transformation on each sub-block to obtain m frequency domain discrete signals
Each corresponding Q iv According to the following formula
Time domain PTS multiplicative scrambling is carried out to obtain m OFDM time domain signals after time domain scrambling
i∈[1,…,m]
OFDM time domain signal after scrambling m time domains
Respectively carrying out PAPR evaluation in the following formula, identifying the OFDM time domain signal after time domain scrambling corresponding to the minimum evaluation result, and using the OFDM time domain signal as a time domain transmission OFDM signal
k∈[1,…,N]
In the formula (I), the compound is shown in the specification,
is composed of
The kth element in (1), argmin () represents the take minimum function.
6. The PTS peak-to-average ratio suppression method based on spatial preference according to one of claims 1 to 5, further comprising the step of determining an optimal m-value:
dividing N subcarriers of an OFDM frequency domain signal to be transmitted in training data into V groups of mutually disjoint sub-blocks, and inputting the sub-blocks into the frequency domain scrambling model to perform frequency domain scrambling;
setting initial m =1, inputting the discrete signal after scrambling of each frequency domain into the Spacing evaluation model to obtain a signal dispersion estimation value, arranging the estimation values from small to large, and identifying Q corresponding to the discrete signals corresponding to the previous m estimation values in the arrangement iv Establishing a preferred space;
respectively performing time domain PAPR evaluation on each frequency domain discrete signal obtained by identification according to an optimal space to obtain a frequency domain discrete signal corresponding to a minimum evaluation result;
comparing whether the frequency domain discrete signal corresponding to the minimum evaluation result is with V! Optimal solution anastomosis in full space
And if the optimal solution is not contained, enabling m = m +1, and repeating the steps until the optimal solution is contained as the optimal m value.
7. A space-based preference data processing system, comprising:
a pre-processing module for performing frequency domain to the input M-QAM signalConverting to generate OFDM frequency domain signals; performing signal segmentation on the OFDM frequency domain signal to generate an OFDM frequency domain sub-signal and transmitting the OFDM frequency domain sub-signal to a data processing module; the step of signal-dividing the OFDM frequency domain signal further includes: the OFDM frequency domain signal is divided into sub-blocks which are not intersected with each other by a random division method, and each sub-block is used as an OFDM frequency domain sub-signal X v
In the formula, V represents the total number of subblocks partitioned, the subscript V represents the subblock order, and V belongs to {1,2, \\ 8230;, V };
the data processing module is used for sequentially inputting each received OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiplicative scrambling of various PTS corresponding to the OFDM frequency domain signals; inputting the frequency domain discrete signals after multiplicative scrambling of each PTS into a preset Spacing evaluation model to obtain corresponding signal dispersion estimation values; arranging all the estimated values from small to large, identifying frequency domain discrete signals corresponding to the first m estimated values in the arrangement, and transmitting the frequency domain discrete signals to a signal generation module;
the step of sequentially inputting each received OFDM frequency domain sub-signal into a preset frequency domain scrambling model to obtain frequency domain discrete signals after multiple PTS multiplicative scrambling corresponding to the OFDM frequency domain signal further includes:
obtaining each OFDM frequency domain sub-signal X by the following formula v Corresponding rotational phase factor b v
b v ＝e j2πi/V |i＝1,…,V
Where V denotes the total number of subblocks partitioned, the subscript V denotes the subblock order, V ∈ {1,2, \ 8230;, V }.
Rotating the phase factor b v All possible permutation and combination 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 X v Sequentially inputting the frequency domain scrambling model in the following formula to obtain V | corresponding to the OFDM frequency domain signal! Frequency domain discrete signal after PTS multiplicative scrambling
In the formula, Q iv Is the ith row and the v item element of the multiplicative scrambling sequence total space Q;
and the signal generation module is used for respectively carrying out time domain PAPR evaluation on each received frequency domain discrete signal and obtaining a time domain transmission signal after the final peak-to-average ratio is restrained based on the frequency domain discrete signal corresponding to the minimum evaluation result.
8. The space-based optimization data processing system of claim 7, wherein the Spacing evaluation model is
Wherein S is the OFDM signal dispersion estimated value,
is composed of
The k-th frequency-domain signal in (b),
is composed of
Is measured.
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