CN114978847B

CN114978847B - Peak-average ratio processing method, peak-average ratio processing device, electronic equipment and medium

Info

Publication number: CN114978847B
Application number: CN202210760406.4A
Authority: CN
Inventors: 颜海龙; 李相宏; 谭红军; 李峰; 肖乾友
Original assignee: Shenzhen MTC Co Ltd
Current assignee: Shenzhen MTC Co Ltd
Priority date: 2022-06-29
Filing date: 2022-06-29
Publication date: 2023-07-11
Anticipated expiration: 2042-06-29
Also published as: CN114978847A

Abstract

The invention discloses a processing method of peak-to-average ratio, a processing device of peak-to-average ratio, electronic equipment and a medium, wherein the method comprises the following steps: sliding the original signal according to the peak window to obtain a plurality of maximum peak positions; performing data processing according to the maximum peak position to obtain amplified post-point data; processing the amplified data according to the amplified data to obtain a plurality of maximum power value positions; calculating and obtaining corresponding counteracting pulse sequence labels according to the maximum power value position; and processing according to the maximum peak position, the maximum power value position and the counteraction pulse sequence mark to obtain the peak-clipping signal. The invention improves the phase precision, reduces the frequency spectrum leakage and improves the algorithm performance.

Description

Peak-average ratio processing method, peak-average ratio processing device, electronic equipment and medium

Technical Field

The present invention relates to the field of communications technologies, and in particular, to a processing method for peak-to-average ratio, a processing apparatus for peak-to-average ratio, an electronic device, and a medium.

Background

The pulse cancellation method (PC-CFR) is a main stream method for inhibiting peak factors of main streams in an OFDM system due to good performance of reducing frequency spectrum leakage, and the working principle of the existing peak-to-average ratio processing is as follows:

1. dividing an input peak-to-average ratio (High PAR) signal into two paths, wherein one path is used as a delay signal and the other path is used for detecting a peak value;

2. performing peak detection, and reserving position, amplitude and phase information of a peak point;

3. weighting the stored pulse signals by utilizing the amplitude difference and the phase information of the peak points, wherein the frequency spectrum of the pulse signals is consistent with the frequency spectrum of the input signals;

4. subtracting the generated pulse signal from the delay signal to obtain a low peak-to-average ratio signal after peak clipping;

5. and if the index requirement is not met, performing loop iteration on the operation.

This method has the following drawbacks:

1) When the sampling rate is low, the detection deviation of the peak point is large, the peak point cannot be prepared to be positioned, and the amplitude difference and the phase of the real peak point are obtained, so that the loss and the regeneration of the peak are caused, and the peak-to-average ratio cannot be effectively reduced.

2) When observing peak point spectrum after peak clipping, the spectrum leakage is large due to large phase error.

Disclosure of Invention

The embodiment of the invention aims to provide a processing method of peak-to-average ratio, a processing device of peak-to-average ratio, electronic equipment and a medium, so that the phase precision is improved, the frequency spectrum leakage is reduced, and the algorithm performance is improved.

In a first aspect, in order to achieve the above object, an embodiment of the present invention provides a processing method of peak-to-average ratio, including the steps of:

sliding the original signal according to the peak window to obtain a plurality of maximum peak positions; the original signal is composed of a plurality of continuous point data; the maximum peak position is a coordinate value of the maximum peak in the horizontal axis direction;

performing data processing according to the maximum peak position to obtain amplified post-point data;

obtaining a plurality of maximum power value positions according to the amplified point data; the maximum power value position is the coordinate value of the maximum power value in the horizontal axis direction;

calculating and obtaining corresponding counteracting pulse sequence labels according to the maximum power value position;

and processing according to the maximum peak position, the maximum power value position and the counteraction pulse sequence label to obtain the peak-clipping signal.

In a second aspect, in order to solve the same technical problem, an embodiment of the present invention provides a processing apparatus for peak-to-average ratio, including:

the peak value taking module is used for sliding the original signal according to the peak window to obtain a plurality of maximum peak positions; the original signal is composed of a plurality of continuous point data; the maximum peak position is a coordinate value of the maximum peak in the horizontal axis direction;

the data processing module is used for carrying out data processing according to the maximum peak position to obtain amplified point data;

the power value taking module is used for obtaining a plurality of maximum power value positions according to the amplified post-point data; the maximum power value position is the coordinate value of the maximum power value in the horizontal axis direction;

the calculating module is used for calculating and obtaining corresponding counteracting pulse sequence labels according to the maximum power value position;

and the processing module is used for processing the maximum peak value position, the maximum power value position and the counteraction pulse sequence label to obtain a peak-clipping signal.

In a third aspect, to solve the same technical problem, an embodiment of the present invention provides an electronic device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the memory is coupled to the processor, and where the processor executes the computer program to implement steps in the peak-to-average ratio processing method described in any one of the above.

In a fourth aspect, in order to solve the same technical problem, an embodiment of the present invention provides a computer readable storage medium storing a computer program, where an apparatus where the computer readable storage medium is controlled to execute the steps in the peak-to-average ratio processing method described in any one of the above when the computer program runs.

The embodiment of the invention provides a peak-to-average ratio processing method, a peak-to-average ratio processing device, electronic equipment and a medium.

Drawings

FIG. 1 is a schematic flow chart of a processing method of peak-to-average ratio according to an embodiment of the present invention;

FIG. 2 is a flowchart illustrating a step of sliding to obtain a maximum peak position according to an embodiment of the present invention;

fig. 3 is a schematic view of a scenario in which a maximum peak position is obtained by sliding according to an embodiment of the present invention;

FIG. 4 is a flowchart illustrating steps for performing data amplification processing to obtain amplified point data according to an embodiment of the present invention;

fig. 5 is a flowchart illustrating steps for obtaining a corresponding maximum power value position according to an embodiment of the present invention;

FIG. 6 is a flowchart illustrating steps for processing a signal after peak clipping according to an embodiment of the present invention;

fig. 7 is a schematic structural diagram of a processing device with peak-to-average ratio according to an embodiment of the present invention;

fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.

Referring to fig. 1, fig. 1 is a flowchart of a processing method of peak-to-average ratio according to an embodiment of the invention, where the method includes S101 to S105.

S101, sliding an original signal according to a peak window to obtain a plurality of maximum peak positions; the original signal is composed of a plurality of continuous point data; the maximum peak position is a coordinate value of the maximum peak in the horizontal axis direction.

In particular, with the development of communication technology, the spectrum multiplexing technology is increasingly applied to high-speed data transmission services. But for a spectrum multiplexed communication system, the discontinuous configuration of carriers is applied step by step and the peak-to-average ratio of the transmitted signal is large. A transmitter of a radio base station in a communication system transmits signals by using a power amplifier to compensate for signal attenuation caused by propagation distance, and the efficiency of the power amplifier is reduced by transmitting signals with large peak-to-average ratio, and corresponding techniques are necessary to reduce the peak-to-average ratio input to the power amplifier signals.

In a mobile communication system, peak clipping techniques are generally used: matched filtering peak clipping and peak pulse cancellation peak clipping, etc. Matched filter peak clipping is based on hard clipping and matched filtering techniques. The peak pulse cancellation peak clipping is based on the superposition idea of signals, a cancellation pulse with the same phase and a certain proportion of amplitude and peak size is generated at the peak pulse, the cancellation pulse is subjected to spectrum shaping processing, and then the cancellation pulse and the original signal are subjected to peak cancellation.

The original signal of the invention is composed of a plurality of continuous point data, and each point data in the original signal can be written in the form of (I+jQ) in an IQ coordinate system (wherein I is the real part of a horizontal axis, Q is the imaginary part of a vertical axis). By setting the rolling range (including the rolling start position, the rolling end position) and the rolling direction of the peak window, the rolling direction of the peak window is the same as the horizontal axis direction, all peak values (one or more) in the length range of each peak window are compared with each other in the original signal by using the peak window, the maximum peak value (the amplitude of the peak value is maximum) is found, and the maximum peak value is stored in a register.

And sequentially carrying out peak value calculation on the received original signal based on the peak value windows to obtain maximum peak value corresponding to each peak value window in the moving process. And secondly, recording the coordinate value of each maximum peak value in the transverse axis direction to obtain the corresponding maximum peak value position.

Referring to fig. 2, fig. 2 is a flow chart illustrating a step of sliding to obtain a maximum peak position according to an embodiment of the present invention. Wherein the step includes S201 to S203.

S201, continuously sliding the original signal according to the sliding interval of the length of the peak window;

s202, sampling according to a preset sampling length to obtain a peak point in the peak window during the continuous sliding of the peak window;

s203, comparing the sizes of the peak points in the peak window to obtain the maximum peak value corresponding to each sliding, and obtaining the maximum peak value position corresponding to the maximum peak value.

Specifically, the length of the peak window is set according to the requirement, and then when the original signal is continuously slid, the sliding process is performed according to the sliding interval of the length of the peak window. And during the sliding of the peak window, the peak point in the peak window can be sampled and calculated according to the preset sampling length, then the maximum peak value of each sliding of the peak window can be obtained by comparing the sampled and calculated peak point, and the coordinate value of the maximum peak value in the horizontal axis direction is recorded as the corresponding maximum peak value position.

For example, as shown in fig. 3, assuming that the length of the peak window is 1024 and the preset sampling length is 128, that is, 1024+.128=8 samples are performed every time the peak window slides, which indicates that 8 peak points are obtained by sampling every time the peak window slides. Therefore, in the first sliding peak window (i.e. sliding from 1 to 1024) to sample and obtain 8 peak points in the peak window, the 8 peak points obtained in the first sliding peak window are compared in size with each other, so that the maximum value corresponding to the first sliding peak window can be obtained, that is, the peak window is equivalent to finding the first maximum peak value from 1 to 1024. Similarly, 8 peak points in the peak window are obtained by sampling in the second sliding peak window (i.e. sliding from 1025 to 2048), and the 8 peak points obtained in the second sliding peak window are compared in size, so that the maximum value corresponding to the second sliding peak window can be obtained, namely, the maximum value is equivalent to finding the second maximum peak value in the peak window from 1025 to 2048. And so on, the maximum peak value corresponding to the record can be acquired in turn through the mode. And then, acquiring the coordinate value of the maximum peak value in the horizontal axis direction to obtain the corresponding maximum peak value position.

S102, carrying out data processing according to the maximum peak position to obtain amplified point data.

Specifically, due to the characteristic of the signal phase, the found peak maximum value may have an error, and thus data processing is performed according to the maximum peak position. The data processing includes resampling processing and data amplification processing, wherein the data amplification processing is generally N-fold interpolation processing, and may be 2-fold interpolation processing, 4-fold interpolation processing, 6-fold interpolation processing, 8-fold interpolation processing, 16-fold interpolation processing, etc.

Referring to fig. 4, fig. 4 is a flow chart illustrating steps of performing data amplification processing to obtain amplified point data according to an embodiment of the present invention. Wherein the step includes S301 to S304.

S301, acquiring N-1 adjacent negative point data according to the negative direction of the transverse axis of the original signal and taking the point data corresponding to the maximum peak value position as a starting point;

s302, acquiring N adjacent forward point data according to the forward direction of the transverse axis of the original signal and taking the point data corresponding to the maximum peak value position as a starting point;

s303, resampling data is obtained according to the point data corresponding to the maximum peak position, the N-1 adjacent negative-direction point data and the N adjacent positive-direction point data;

s304, interpolation processing is carried out on the resampled data to obtain the amplified post-point data.

Specifically, after the maximum peak position corresponding to each sliding is obtained through the above embodiment, N-1 adjacent negative-direction point data are obtained according to the negative direction of the horizontal axis of the original signal, and N adjacent positive-direction point data are obtained according to the positive direction of the horizontal axis of the original signal, and then the point data corresponding to the maximum peak position, N-1 adjacent negative-direction point data, and N adjacent positive-direction point data are determined to be resampled data corresponding to the maximum peak position of the first sliding. Similarly, resampling data corresponding to the whole sliding process can be obtained.

For example, assuming n=8, the point data corresponding to the maximum peak position corresponding to the first sliding is recorded as x [0], 7 consecutive adjacent sample data (i.e., 7 adjacent negative-going point data) are respectively recorded as x < -7 >, x < -6 >, …, x < -1 > on the left side of the original signal according to the point data x [0], 8 consecutive adjacent sample data (i.e., 8 adjacent positive-going point data) are respectively recorded as x [1], x [2], …, x [8] on the right side of the original signal according to the point data x [0], thereby forming 16 points, i.e., resampled data of the present invention: x < -7 >, x < -6 >, …, x < 0 >, x < 1 >, x < 8 >, and then performing 8 times interpolation processing based on the 16 point data to obtain 32 point data (namely the amplified point data).

Similarly, N may be 2,4, 16 or 32.N is an integer greater than or equal to 2, the integer is a multiple of 2, the specific value of N depends on the processing capacity and detection performance requirements of the system, and generally, the larger N is, the better the detection performance is, and the higher the corresponding operation complexity is. According to experimental research results, the optimal value range of N is 4-32, and in the embodiment of the invention, N=8, so that the interpolation calculation amount can be reduced and the signal processing efficiency can be improved on the premise of ensuring the peak point detection accuracy.

S103, obtaining a plurality of maximum power value positions according to the amplified point data; the maximum power value position is a coordinate value of the maximum power value in the horizontal axis direction.

Referring to fig. 5, fig. 5 is a flow chart illustrating a step of obtaining a corresponding maximum power value position according to an embodiment of the present invention. Wherein the step includes S401 to S402.

S401, performing square root calculation according to the coordinates of the amplified point data to obtain corresponding output power;

s402, comparing the magnitude of the output power to obtain a corresponding maximum power value position.

Specifically, parameters of the filter (e.g., the channel filter bandwidth Bchannel) may be set as required, and the filter includes a rectangular filter (Rectangular filter), a root raised cosine filter (Raised Cosine filter), and the like. Since the resampled data is then filtered using a filter, an output array (corresponding to the amplified data of the present invention) is obtained. And inputting the continuous amplified point data into a corresponding amplified signal, and processing the amplified signal by a filter to obtain an output array, wherein the output array comprises a plurality of point data.

For example, the output array output by the filter processing (corresponding to 8 times interpolation processing) includes 32 point data, and peak detection is performed on each point data in the output array, and since the point data is written in the form of (i+jq) in the IQ coordinate system (i.e., vector coordinate system or complex coordinate system, where I is the real part of the transverse axis and Q is the imaginary part of the vertical axis), the corresponding output power is calculated according to the following formula by substituting the imaginary-real coordinates of the point data into the following formula:

P _j ＝I _j ² +Q _j ² ；

wherein j is the sequence number of the point data, P _j For the output power of the point data, I _j For the real value of the point data on the IQ coordinate system, Q _j Is an imaginary value of the point data on an IQ coordinate system.

After the output power of each point data is calculated through the formula, the output power of all the point data is compared so as to find out the corresponding maximum power value when the peak value window slides each time, and the coordinate value of the point data corresponding to the maximum power value in the horizontal axis direction is determined as the position of the maximum power value.

S104, calculating and obtaining corresponding counteracting pulse sequence labels according to the maximum power value position.

Specifically, substituting the maximum power value position into the following formula to calculate and obtain a corresponding counteracting pulse sequence label;

Cpulse_id＝N x_peak_location％N；

wherein cpulse_id is the offset pulse sequence label, N is a preset data amplification factor, nx_peak_location is the maximum power value position, and%is a remainder operator.

S105, processing according to the maximum peak position, the maximum power value position and the counteraction pulse sequence label to obtain the peak clipping signal.

Referring to fig. 6, fig. 6 is a flow chart illustrating a step of processing a peak-clipping signal according to an embodiment of the present invention. Wherein the step includes S601 to S603.

S601, calculating a new peak point position according to the maximum peak position and the maximum power value position;

specifically, substituting the maximum peak position and the maximum power value position into the following formula, and calculating to obtain a corresponding new peak point position;

new_1x_peak_location＝1x_peak_location+((Nx_peak_location)/N-2)；

wherein new_1x_peak_location is the new peak point position, 1x_peak_location is the maximum peak point position, N x _peak_location is the maximum power value position, and N is a preset data amplification factor.

Continuing with the above embodiment, n=8, then the mapping relationship among the New peak point position (new_1x_peak_location), the maximum power value position (8x_peak_location), and the cancellation pulse sequence number (cpulse_id) is shown in table 1:

8x_peak_location	Cpulse_id	New_1x_peak_location
			0-7	0-7	1x_peak-2
8-15	0-7	1x_peak-1
			16-23	0-7	1x_peak
24-31	0-7	1x_peak+1

table 1, mapping relation table

S602, calculating a counteracting weight value according to the maximum power value position;

specifically, w=y (IP) - (y (IP)/|y (IP) |) Threshold;

wherein w is the offset weight, y (IP) is the coordinate value of the maximum power value in the vertical axis direction, and Threshold is the peak clipping Threshold.

And S603, calculating to obtain a target pulse signal according to the counteracting weight value, the counteracting pulse sequence label and the new peak point position, and subtracting the target pulse signal from the delay signal to obtain a peak clipping signal.

Specifically, according to the offset weight value and the offset pulse sequence label, calculating to obtain an offset pulse sequence, namely the target pulse signal of the invention, substituting a new peak point position and the offset pulse sequence (namely the target pulse signal of the invention) into the following formula, and calculating to obtain the target pulse signal comprises the following steps:

w*Cpulse(i)；

and subtracting the target pulse signal from the delay signal to obtain a peak clipping signal. Because the original signal is divided into two paths in advance, one path is used for delaying, and the other path is used for detecting the peak value. Therefore, the target pulse signal and the delay signal are substituted into the following formula to be subtracted so as to obtain a peak clipping signal:

X(i)＝new_1x_peak_location-w*Cpulse(i)；

wherein X (i) is the peak-clipping signal, new_1x_peak_location is the new peak point position, w is the offset weight value, cpulse (i) is a pulse sequence obtained according to the cpulse_id index, and w is the target pulse signal.

The invention can solve the problems of large detection deviation and spectrum leakage under low sampling rate, carries out interpolation processing according to peak points, forms a mapping relation with a pulse sequence group, and improves the system performance. According to the invention, a new peak point is generated by interpolation processing according to the peak point, and because the new peak point and the offset pulse sequence form a mapping relation, a new peak point pulse signal (namely the peak-clipping signal of the invention) can be calculated, and a more accurate peak point is obtained by the method, so that the phase precision is improved, the frequency spectrum leakage is reduced, and the algorithm performance is improved.

Referring to fig. 7, fig. 7 is a schematic structural diagram of a processing apparatus for peak-to-average ratio according to an embodiment of the present invention, including:

the peak value taking module 801 is configured to slide the original signal according to a peak window to obtain a plurality of maximum peak positions; the original signal is composed of a plurality of continuous point data; the maximum peak position is a coordinate value of the maximum peak in the horizontal axis direction;

a data processing module 802, configured to perform data processing according to the maximum peak position to obtain amplified point data;

a power take-off module 803, configured to obtain a plurality of maximum power value positions according to the amplified post-point data; the maximum power value position is the coordinate value of the maximum power value in the horizontal axis direction;

a calculating module 804, configured to calculate and obtain a corresponding cancellation pulse sequence label according to the maximum power value position;

and a processing module 805, configured to process the peak-clipping signal according to the maximum peak position, the maximum power value position and the cancellation pulse sequence label.

In the implementation, each module and/or unit may be implemented as an independent entity, or may be combined arbitrarily and implemented as the same entity or a plurality of entities, where the implementation of each module and/or unit may refer to the foregoing method embodiment, and the specific beneficial effects that may be achieved may refer to the beneficial effects in the foregoing method embodiment, which are not described herein again.

In addition, the electronic device provided by the embodiment of the invention can be a mobile terminal such as a smart phone, a tablet personal computer and the like. The electronic device includes a processor, a memory. The processor is electrically connected with the memory.

The processor is a control center of the electronic device, and uses various interfaces and lines to connect various parts of the whole electronic device, and executes various functions of the electronic device and processes data by running or loading application programs stored in the memory and calling the data stored in the memory, so as to monitor the electronic device as a whole.

In this embodiment, the processor in the electronic device loads the instructions corresponding to the processes of one or more application programs into the memory according to the following steps, and the processor executes the application programs stored in the memory, so as to implement various functions:

The electronic device can realize the steps in any embodiment of the processing method for peak-to-average ratio provided by the embodiment of the present invention, so that the beneficial effects of any one of the processing methods for peak-to-average ratio provided by the embodiment of the present invention can be realized, and detailed descriptions of the foregoing embodiments are omitted.

Referring to fig. 8, fig. 8 is another schematic structural diagram of an electronic device provided in the embodiment of the present invention, and fig. 8 is a specific structural block diagram of the electronic device provided in the embodiment of the present invention, where the electronic device may be used to implement the processing method of peak-to-average ratio provided in the embodiment. The electronic device 900 may be a mobile terminal such as a smart phone or a notebook computer.

The RF circuit 910 is configured to receive and transmit electromagnetic waves, and to perform mutual conversion between the electromagnetic waves and the electrical signals, so as to communicate with a communication network or other devices. The RF circuitry 910 may include various existing circuit elements for performing these functions, such as an antenna, a radio frequency transceiver, a digital signal processor, an encryption/decryption chip, a Subscriber Identity Module (SIM) card, memory, and the like. The RF circuitry 910 may communicate with various networks such as the internet, intranets, wireless networks, or with other devices via wireless networks. The wireless network may include a cellular telephone network, a wireless local area network, or a metropolitan area network. The wireless network may use various communication standards, protocols, and technologies including, but not limited to, global system for mobile communications (Global System for Mobile Communication, GSM), enhanced mobile communications technology (Enhanced Data GSM Environment, EDGE), wideband code division multiple access technology (Wideband Code Division Multiple Access, WCDMA), code division multiple access technology (Code Division Access, CDMA), time division multiple access technology (Time Division Multiple Access, TDMA), wireless fidelity technology (Wireless Fidelity, wi-Fi) (e.g., american society of electrical and electronic engineers standards IEEE802.11 a, IEEE802.11b, IEEE802.11g, and/or IEEE802.11 n), internet telephony (Voice over Internet Protocol, voIP), worldwide interoperability for microwave access (Worldwide Interoperability for Microwave Access, wi-Max), other protocols for mail, instant messaging, and short messaging, as well as any other suitable communication protocols, even those not currently developed.

The memory 920 may be used to store software programs and modules, such as program instructions/modules corresponding to the peak-to-average ratio processing methods in the above embodiments, the processor 980 is configured to execute the software programs and modules stored in the memory 920 by running one or more programs stored in the memory, and configured to be executed by one or more processors, the one or more programs including instructions for:

Memory 920 may include high-speed random access memory, but may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, memory 920 may further include memory located remotely from processor 980, which may be connected to electronic device 900 by a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The input unit 930 may be used to receive input numeric or character information and to generate keyboard, mouse, joystick, optical or trackball signal inputs related to user settings and function control. In particular, the input unit 930 may comprise a touch-sensitive surface 931 and other input devices 932. The touch-sensitive surface 931, also referred to as a touch display screen or touch pad, may collect touch operations thereon or thereabout by a user (e.g., operations of the user on or thereabout the touch-sensitive surface 931 using a finger, stylus, or any other suitable object or accessory) and actuate the corresponding connection device according to a predetermined program. Alternatively, the touch sensitive surface 931 may include two portions, a touch detection device and a touch controller. The touch detection device detects the touch azimuth of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch detection device and converts it into touch point coordinates, which are then sent to the processor 980, and can receive commands from the processor 980 and execute them. In addition, the touch-sensitive surface 931 may be implemented in various types of resistive, capacitive, infrared, surface acoustic wave, and the like. In addition to the touch-sensitive surface 931, the input unit 930 may also include other input devices 932. In particular, other input devices 932 may include, but are not limited to, one or more of a physical keyboard, function keys (e.g., volume control keys, switch keys, etc.), a trackball, mouse, joystick, etc.

The display unit 940 may be used to display information entered by a user or provided to a user as well as various graphical user interfaces of the electronic device 900, which may be composed of graphics, text, icons, video, and any combination thereof. The display unit 940 may include a display panel 941, and alternatively, the display panel 941 may be configured in the form of an LCD (Liquid Crystal Display ), an OLED (Organic Light-Emitting Diode), or the like. Further, the touch-sensitive surface 931 may overlay the display panel 941, and upon detection of a touch operation thereon or thereabout, the touch-sensitive surface 931 is passed to the processor 980 to determine the type of touch event, and the processor 980 then provides a corresponding visual output on the display panel 941 depending on the type of touch event. Although in the figures the touch-sensitive surface 931 and the display panel 941 are implemented as two separate components, in some embodiments the touch-sensitive surface 931 may be integrated with the display panel 941 to implement the input and output functions.

The electronic device 900 may also include at least one sensor 950, such as a light sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, where the ambient light sensor may adjust the brightness of the display panel 941 according to the brightness of ambient light, and the proximity sensor may generate an interruption when the flip cover is closed or closed. As one of the motion sensors, the gravity acceleration sensor can detect the acceleration in all directions (generally three axes), and can detect the gravity and the direction when the mobile phone is stationary, and can be used for applications of recognizing the gesture of the mobile phone (such as horizontal and vertical screen switching, related games, magnetometer gesture calibration), vibration recognition related functions (such as pedometer and knocking), and the like; other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that may also be configured with the electronic device 900 are not described in detail herein.

Audio circuitry 960, speaker 961, microphone 962 may provide an audio interface between a user and electronic device 900. Audio circuit 960 may transmit the received electrical signal converted from audio data to speaker 961, where it is converted to a sound signal by speaker 961 for output; on the other hand, microphone 962 converts the collected sound signals into electrical signals, which are received by audio circuit 960 and converted into audio data, which are processed by audio data output processor 980 for transmission to, for example, another terminal via RF circuit 910 or for output to memory 920 for further processing. Audio circuitry 960 may also include an ear bud jack to provide communication of a peripheral ear bud with electronic device 900.

The electronic device 900 may facilitate user reception of requests, transmission of information, etc. via the transmission module 970 (e.g., wi-Fi module), which provides wireless broadband internet access to the user. Although the transmission module 970 is shown in the drawings, it is understood that it does not belong to the essential constitution of the electronic device 900, and can be omitted entirely as required within the scope of not changing the essence of the invention.

Processor 980 is a control center for electronic device 900, and utilizes various interfaces and lines to connect the various parts of the overall handset, performing various functions and processing data for electronic device 900 by running or executing software programs and/or modules stored in memory 920, and invoking data stored in memory 920, thereby performing overall monitoring of the electronic device. Optionally, processor 980 may include one or more processing cores; in some embodiments, processor 980 may integrate an application processor with a modem processor, where the application processor primarily handles operating systems, user interfaces, applications programs, and the like, and the modem processor primarily handles wireless communications. It is to be appreciated that the modem processor described above may not be integrated into the processor 980.

The electronic device 900 also includes a power supply 990 (e.g., a battery) that provides power to the various components, and in some embodiments, may be logically coupled to the processor 980 through a power management system to perform functions such as managing charging, discharging, and power consumption by the power management system. The power source 990 may also include one or more of any components, such as a direct current or alternating current power source, a recharging system, a power failure detection circuit, a power converter or inverter, a power status indicator, and the like.

In the implementation, each module may be implemented as an independent entity, or may be combined arbitrarily, and implemented as the same entity or several entities, and the implementation of each module may be referred to the foregoing method embodiment, which is not described herein again.

Those of ordinary skill in the art will appreciate that all or a portion of the steps of the various methods of the above embodiments may be performed by instructions, or by instructions controlling associated hardware, which may be stored in a computer-readable storage medium and loaded and executed by a processor. To this end, an embodiment of the present invention provides a storage medium having stored therein a plurality of instructions capable of being loaded by a processor to perform the steps of any one of the embodiments of the peak-to-average ratio processing methods provided by the embodiments of the present invention.

Wherein the storage medium may include: read Only Memory (ROM), random access Memory (RAM, random Access Memory), magnetic or optical disk, and the like.

The instructions stored in the storage medium can execute the steps in any embodiment of the processing method for peak-to-average ratio provided by the embodiment of the present invention, so that the beneficial effects that can be achieved by any one of the processing methods for peak-to-average ratio provided by the embodiment of the present invention can be achieved, which are detailed in the previous embodiments and are not described herein.

The foregoing describes in detail a cross-domain data sharing, apparatus, electronic device and storage medium provided by the embodiments of the present invention, and specific examples are applied to illustrate the principles and implementations of the present invention, where the foregoing examples are only used to help understand the method and core idea of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in light of the ideas of the present invention, the present description should not be construed as limiting the present invention. Moreover, it will be apparent to those skilled in the art that various modifications and variations can be made without departing from the principles of the present invention, and such modifications and variations are also considered to be within the scope of the invention.

Claims

1. A processing method of peak-to-average ratio is characterized by comprising the following steps:

processing according to the maximum peak position, the maximum power value position and the counteraction pulse sequence label to obtain a peak clipping signal;

the peak clipping signal obtained by processing according to the maximum peak position, the maximum power value position and the counteraction pulse sequence label comprises the following steps:

calculating a new peak point position according to the maximum peak position and the maximum power value position;

the calculating a new peak point position according to the maximum peak position and the maximum power value position comprises the following steps:

substituting the maximum peak position and the maximum power value position into the following formulas, and calculating to obtain a corresponding new peak point position:

new_1x_peak_location＝1x_peak_location+((Nx_peak_location)/N-2)；

wherein new_1x_peak_location is the new peak point position, 1x_peak_location is the maximum peak position, N x _peak_location is the maximum power value position, and N is a preset data amplification multiple;

calculating a counteracting weight value according to the maximum power value position;

the step of calculating the counteracting weight value according to the maximum power value position comprises the following steps:

substituting the preset peak clipping threshold value and the maximum power value position into the following formula, and calculating to obtain a corresponding counteracting weight value:

w＝y(IP)-(y(IP)/|y(IP)|)*Threshold；

wherein w is the offset weight value, y (IP) is the coordinate value of the maximum power value in the vertical axis direction, and Threshold is the peak clipping Threshold value;

calculating to obtain a target pulse signal according to the counteracting weight value, the counteracting pulse sequence label and the new peak point position, and subtracting the target pulse signal from the delay signal to obtain a peak-clipping signal;

the step of calculating the target pulse signal according to the counteracting weight value, the counteracting pulse sequence label and the new peak point position comprises the following steps:

calculating to obtain the target pulse signal according to the new peak point position and the offset pulse sequence;

substituting the target pulse signal and the delay signal into the following formula to perform subtraction to obtain a peak clipping signal;

X(i)＝new_1x_peak_location-w*Cpulse(i)；

2. The method for processing the peak-to-average ratio according to claim 1, wherein the step of sliding the original signal according to the peak window to obtain a plurality of maximum peak positions includes the steps of:

continuously sliding the original signal according to the sliding interval of the length of the peak window;

sampling according to a preset sampling length to obtain a peak point in the peak window during the continuous sliding of the peak window;

and comparing the sizes of the peak points in the peak window to obtain a maximum peak value corresponding to each sliding, and obtaining a maximum peak value position corresponding to the maximum peak value.

3. The method of claim 1, wherein the step of obtaining amplified data from the data processing based on the maximum peak position comprises the steps of:

according to the point data corresponding to the maximum peak position as a starting point, N-1 adjacent negative point data are obtained in a negative direction according to the transverse axis of the original signal;

according to the point data corresponding to the maximum peak position as a starting point, N adjacent forward point data are obtained in the forward direction of the transverse axis of the original signal;

obtaining resampling data according to the point data corresponding to the maximum peak position, the N-1 adjacent negative point data and the N adjacent positive point data;

and carrying out interpolation processing on the resampled data to obtain the amplified post-point data.

4. The method of processing the peak-to-average ratio according to claim 1, wherein said obtaining a plurality of maximum power value positions from the post-amplification point data comprises the steps of:

performing square root calculation according to the coordinates of the amplified point data to obtain corresponding output power;

and comparing the magnitude of the output power to obtain the corresponding maximum power value position.

5. The processing method of peak-to-average ratio according to claim 1, wherein said calculating the corresponding cancellation pulse sequence number according to the maximum power value position includes the steps of:

substituting the maximum power value position into the following formula to calculate and obtain a corresponding counteracting pulse sequence label;

Cpulse_id＝N x_peak_location％N；

6. A peak-to-average ratio processing apparatus, comprising:

the processing module is used for processing the maximum peak value position, the maximum power value position and the counteraction pulse sequence label to obtain a peak-clipping signal;

new_1x_peak_location＝1x_peak_location+((Nx_peak_location)/N-2)；

w＝y(IP)-(y(IP)/|y(IP)|)*Threshold；

X(i)＝new_1x_peak_location-w*Cpulse(i)；

7. An electronic device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the memory being coupled to the processor and the processor implementing the steps in the processing method of the peak-to-average ratio of any of claims 1 to 5 when the computer program is executed by the processor.

8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, wherein the computer program, when run, controls a device in which the computer-readable storage medium is located to perform the steps in the peak-to-average ratio processing method according to any one of claims 1 to 5.