CN201360268Y - Peak clipping device based on peak detection - Google Patents
Peak clipping device based on peak detection Download PDFInfo
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- CN201360268Y CN201360268Y CNU2009200042193U CN200920004219U CN201360268Y CN 201360268 Y CN201360268 Y CN 201360268Y CN U2009200042193 U CNU2009200042193 U CN U2009200042193U CN 200920004219 U CN200920004219 U CN 200920004219U CN 201360268 Y CN201360268 Y CN 201360268Y
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Abstract
The utility model provides a peak clipping device based on peak detection. I channel data and Q channel data of initial intermediate frequency data go through modulus calculation through a modulus calculation module, a threshold composition module and the modulus calculation module transmit modulus larger than a threshold to a scaling factor calculation module to calculate the scaling factor, and the maximum scaling factor within a preset distance can be detected through a maximum detection module; the I channel data go through data delay through a data delay module and then carry out multiplication with the maximum scaling factor through a multiplier unit, and go through pulse canceling processing through a pulse canceling formation module; the Q channel data go through data delay through the data delay module and then carry out multiplication with the maximum scaling factor through the multiplier unit, and go through pulse canceling processing through the pulse canceling formation module; the initial intermediate frequency data go through data delay through the data delay module and then carry out corresponding point addition with data which go through pulse canceling processing through a summation module. The peak clipping device based on peak detection can carry out peak clipping to peak data with different widths.
Description
Technical Field
The utility model relates to a signal processing technology among the communication system, in particular to peak clipping device based on peak detection.
Background
At present, the application of multi-carrier technology in the third Generation mobile communication (3rd Generation, 3G) brings a problem of high peak-to-average ratio, and generally, if no peak clipping device is provided, the power amplification efficiency is only 10%, so in order to improve the power amplification efficiency and reduce the back-push of the power amplifier on the peak value, a peak clipping algorithm must be used. Several peak detection methods are currently used: a hard clipping detection method and a maximum value detection method.
The hard amplitude limiting detection method is based on a threshold set by a system, and signals larger than the threshold are considered as noise, and the detection method has the advantages of being simple, but when the peak value detection mode is applied to a peak clipping algorithm, the signals have the characteristics of a steep edge and a sharp peak, and the sudden change of the signals and the short duration of the peak clipping edge in the peak clipping process can generate obvious out-of-band spectrum anomalies, such as spectrum distortion, adjacent channel interference, spectrum expansion and the like, so that the transmission quality of the signals can be reduced.
The maximum value detection method has the advantage of using less resources, and particularly using less resources of a multiplier in a Field Programmable Gate Array (FPGA). The method firstly judges whether the module value of the current signal exceeds the threshold, secondly judges whether the module value of the current signal is larger than the module value of the previous signal or not, and whether the module value of the current signal is larger than the module value of the next signal or not, and if the two conditions are met, the maximum value is considered to be found. Although the detection method reduces the multiplier resources compared with the hard peak clipping method, the detection method easily has the problem of excessive peak clipping because all the maximum values need to be processed.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a peak clipping device based on peak detection can solve the peak clipping problem.
The utility model discloses a peak clipping device based on peak detection, wherein, I way data and Q way data of original intermediate frequency data carry out the module value through module value calculation module and calculate, and the module value that obtains of calculation gets into and compares with threshold comparison module and corresponding threshold value, will be greater than the module value of threshold value sends to scaling factor calculation module, and scaling factor calculation module basis is greater than the module value of threshold value and calculates the scaling factor, and maximum value detection module basis the biggest scaling factor in the predetermined distance is detected out to the scaling factor;
after data delay is carried out on the I path of data through an I path of data delay module, multiplication calculation is carried out on the I path of data and the maximum scale factor detected by the maximum value detection module through an I path of multiplier, and the calculation result is input to a cancellation pulse forming module to carry out cancellation pulse processing, wherein the delay time of the I path of data is the time of peak value detection;
q path data is subjected to data delay through a Q path data delay module, then is subjected to multiplication calculation with the maximum scale factor detected by the maximum value detection module through a Q path multiplier, and the calculation result is input to a cancellation pulse forming module to be subjected to cancellation pulse processing, wherein the delay time of the Q path data is the time of peak value detection;
and the original intermediate frequency data is subjected to data delay through an intermediate frequency data delay module and then is added with corresponding points of the data which is output by the cancellation pulse forming module and is subjected to cancellation pulse processing under the condition of consistent phase through a summation module.
When the original intermediate frequency data is single carrier data, the single carrier data is filtered by a prototype filter and then subjected to frequency spectrum shifting corresponding to the frequency shifting oscillation processing module according to the intermediate frequency point of the carrier.
When the original intermediate frequency data is multi-carrier data, the filter forming module carries out frequency spectrum shifting corresponding to the frequency shifting oscillation processing module on the multi-carrier data according to different frequency points of each carrier after the multi-carrier data is filtered by the prototype filter, then correspondingly adds the filter coefficients of each carrier after the frequency spectrum shifting, and outputs the added coefficients after the coefficients are divided by the number of the carriers.
The device comprises a baseband signal module, a forming filtering module, a digital up-sampling module and a frequency shift oscillation processing module, wherein when a baseband signal in the baseband signal module is single carrier data, the baseband signal is subjected to forming filtering processing by the forming filtering module, enters the digital up-sampling module for digital up-sampling processing, enters the frequency shift oscillation processing module for frequency spectrum shifting processing, and then outputs original intermediate frequency data of a single carrier.
When the baseband signal is multi-carrier data, the device further comprises a carrier combination processor for performing carrier combination processing on the data subjected to the frequency spectrum shifting processing by the frequency shift oscillation processing module to form original intermediate frequency data of multi-carriers after combination.
The utility model has the advantages that: according to the peak clipping device based on peak detection of the utility model, the peak clipping problem can be solved, the set maximum distance can be dynamically changed according to the system configuration, and the peak clipping can be effectively carried out aiming at the peak data with different widths; in addition, compare with hard amplitude limiting detection method the utility model discloses a Peak Average Ratio (PAR) can improve about 0.7 dB.
Drawings
FIG. 1 is a block diagram of a peak detection based system;
FIG. 2 is a schematic diagram of a maximum search process;
fig. 3 is a schematic diagram of a cancellation pulse forming process.
Detailed Description
Hereinafter, the peak clipping device based on peak detection according to the present invention will be described in detail with reference to fig. 1 to 3.
As shown in fig. 1, a baseband signal (which may be single carrier or multi-carrier data) in a baseband signal module 101 is subjected to a shaping filtering process by a shaping filtering module 102, enters a digital up-sampling module 103 to perform a digital up-sampling process, then enters a frequency shift oscillation processing module 104, and when the baseband signal is single carrier data, the frequency shift oscillation processing module 104 performs a frequency spectrum shifting process to output original intermediate frequency data of the single carrier; when the baseband signal is multi-carrier data, the baseband signal further includes a carrier combining processor, which is configured to perform carrier combining processing on the data subjected to the spectrum shifting processing by the frequency shift oscillation processing module 104, so as to form original intermediate frequency data of multi-carriers after combining.
As shown in fig. 1, the utility model discloses a peak clipping device based on new peak detection, include: the device comprises an intermediate frequency data delay module 105, an I-path data delay module 106, a module value calculation module 107, a threshold comparison module 108, a scale factor calculation module 109, a maximum value detection module 110, a cancellation pulse forming module 111, a filter forming module 112, a Q-path data delay module 113 and a summation module 114.
The module value calculation module 107 performs module value calculation on the I-path data and the Q-path data of the original intermediate frequency data, the calculated module value enters the threshold value comparison module 108 to be compared with the corresponding threshold value, and the module value larger than the threshold value is sent to the scale factor calculation module 109, wherein the corresponding threshold value is set by the system; the scale factor calculating module 109 calculates a scale factor according to the modulus greater than the threshold, and the maximum value detecting module 110 detects a maximum scale factor within a predetermined distance according to the calculated scale factor, wherein the predetermined distance is set by the system.
The I path data is subjected to data delay through an I path data delay module 106 and then is subjected to multiplication calculation with the maximum scale factor detected by a maximum value detection module 110 through an I path multiplier, and the calculation result is input to a cancellation pulse forming module 111 for cancellation pulse processing;
the Q-path data is subjected to data delay through a Q-path data delay module 113, then multiplied by the maximum scale factor detected by the maximum value detection module 110 through a Q-path multiplier, and the calculation result is input to a cancellation pulse forming module 111 for cancellation pulse processing;
the original intermediate frequency data is subjected to data delay through the intermediate frequency data delay module 105, and then is added to corresponding points through the summation module 114 on the condition that the phases of the original intermediate frequency data and the data which is output by the cancellation pulse forming module 111 and is subjected to cancellation pulse processing are consistent.
Specifically, the if data delay module 105 delays the input original if data by the sum of the time of peak detection and the time of cancellation pulse formation.
The I-path data delay module 106 delays the I-path data, where the delay time is a time of peak detection. It is ensured here that the detected scale factor corresponds to the original intermediate frequency data. The time of peak detection comprises module value calculation time, comparison time with threshold, scale factor calculation time and maximum detection time.
When the module value calculating module 107 calculates the module value, the module value of the signal can be calculated by using a coordinate rotation method, so that the resource of the multiplier can be saved. Wherein,
wherein, I represents I path in-phase data; q represents Q-way quadrature data.
Since the part larger than the threshold value can have the maximum value, and the part smaller than the threshold value can not have the maximum value, when the threshold value is compared with the threshold value comparison module 108, the module value larger than the threshold value is sent to the scale factor calculation module.
The scaling factor calculating module 109 calculates a scaling factor according to the detected module value greater than the threshold, where the scaling factor is (module value greater than the threshold-threshold)/module value greater than the threshold. The scale factor corresponding to a modulus value less than the threshold value is set to 0.
The maximum value detection module 110 determines whether the maximum scale factor is found within a predetermined maximum value distance according to the scale factor calculated by the scale factor calculation module 109, and if so, outputs the maximum scale factor, and then continues to find the next maximum scale factor according to the predetermined maximum value distance.
Specifically, as shown in fig. 2, a radio frame is generally used as an initial position, a first data corresponding to the radio frame is used as an initialization peak, a first maximum peak a point is searched, and the point a is output as a peak point; setting a point a1 which is next to the peak point A and is higher than the threshold value as a temporary peak value scale factor point, searching a point B which is next to the peak point A and has a maximum value, and assuming that the distance from the point a1 to the point B is X and X is smaller than the minimum peak value distance M; point B replaces point a1 and becomes the "temporary peak scale factor point"; assuming that the distance between the searched next maximum value point C and the current 'temporary peak value scale factor point' B is Y, and Y is less than M; because the value of the point C is smaller than that of the point B, the point C is not a peak value point and can not replace the current temporary peak value scale factor point, the point C is abandoned, and the next maximum value point is searched; the distance between the searched next maximum value point D and the current 'temporary peak scale factor point' B is recorded as Z, and Z > M. Then point D is a peak point; setting a new 'temporary peak scale factor point'd 1 point; repeating the above process, and outputting a new peak point; and finally outputting the maximum value sequence.
And the cancellation pulse forming module 111 performs dot multiplication with the filter forming module 112 according to the maximum value sequence to generate a cancellation pulse.
A filter forming module 112, configured to, when the original intermediate frequency data is single carrier data, perform frequency spectrum shifting corresponding to the frequency-shift oscillation processing module 104 according to an intermediate frequency point of the carrier after filtering the single carrier data by a prototype filter; when the original intermediate frequency data is multi-carrier data, the multi-carrier data is filtered by the prototype filter, then the frequency spectrum shifting corresponding to the frequency shift oscillation processing module 104 is carried out according to different frequency points of each carrier, then the filter coefficients of each carrier after the frequency spectrum shifting are correspondingly added, and the added coefficients are output after being divided by the number of the carriers.
As shown in fig. 3, the maximum value sequence is dot-multiplied with the filter forming module, multiplier No. 1 is dot-multiplied with peak point a, multiplier No. 2 is dot-multiplied with peak point B, multiplier No. 3 is dot-multiplied with peak point C, and then the results after dot-multiplication are added to form the cancellation pulse. Here, three multipliers are exemplified, and the number of multipliers can be configured in an actual system.
The Q data delay module 113 delays the Q data by a delay time equal to the peak detection time, wherein the detected scale factor is ensured to correspond to the original if data. The time of peak detection comprises module value calculation time, comparison time with threshold, scale factor calculation time and maximum detection time.
In summary, according to the peak clipping device based on peak detection of the present invention, the peak clipping problem can be solved, and the set maximum distance can be dynamically changed according to the system configuration, so as to effectively perform peak clipping for peak data with different widths; additionally, the utility model discloses the peak-to-average ratio PAR of relative hard amplitude limiting detection method can improve about 0.7 dB.
The foregoing is a detailed description of the present invention for the purpose of understanding the present invention by those of ordinary skill in the art, and it is to be understood that other changes and modifications may be made without departing from the scope of the present invention as defined in the appended claims, and that such changes and modifications are to be considered as within the scope of the present invention.
Claims (5)
1. A peak clipping device based on peak detection is characterized in that I-path data and Q-path data of original intermediate frequency data are subjected to module value calculation through a module value calculation module (107), a module value obtained through calculation enters a threshold comparison module (108) to be compared with a corresponding threshold value, the module value larger than the threshold value is sent to a scale factor calculation module (109), the scale factor calculation module (109) calculates a scale factor according to the module value larger than the threshold value, and a maximum value detection module (110) detects a maximum scale factor within a preset distance according to the scale factor;
i path data is subjected to data delay through an I path data delay module (106), then is subjected to multiplication calculation with a maximum scale factor detected by a maximum value detection module (110) through an I path multiplier, and a calculation result is input to a cancellation pulse forming module (111) to be subjected to cancellation pulse processing, wherein the delay time of the I path data is the time of peak value detection;
q paths of data are subjected to data delay through a Q path data delay module (113), then are subjected to multiplication calculation with the maximum scale factor detected by the maximum value detection module (110) through a Q path multiplier, and the calculation result is input to a cancellation pulse forming module (111) to be subjected to cancellation pulse processing, wherein the delay time of the Q path of data is the time of peak value detection;
and the original intermediate frequency data is subjected to data delay through an intermediate frequency data delay module (105) and then is added with corresponding points of the data which is output by the cancellation pulse forming module (111) and is subjected to cancellation pulse processing under the condition of consistent phase through a summation module (114).
2. The peak clipping device based on peak detection according to claim 1, further comprising a filter forming module (112), wherein when the original intermediate frequency data is single carrier data, the single carrier data is filtered by a prototype filter and then subjected to spectrum shifting corresponding to the frequency shift oscillation processing module (104) according to intermediate frequency points of the carrier.
3. The peak clipping device based on peak detection according to claim 2, wherein when the original if data is multi-carrier data, the filter forming module (112) performs a spectrum shift corresponding to the frequency shift oscillation processing module (104) according to different frequency points of each carrier after the multi-carrier data is filtered by the prototype filter, and then correspondingly adds the filter coefficients of each carrier after the spectrum shift, and outputs the added coefficients after the number of carriers is divided by the number of the carriers.
4. The peak clipping apparatus based on peak detection according to claim 1, further comprising a baseband signal module (101), a shaping filter module (102), a digital up-sampling module (103), and a frequency-shift oscillation processing module (104), wherein,
when the baseband signal in the baseband signal module (101) is single carrier data, the baseband signal is subjected to shaping filtering processing by the shaping filtering module (102), enters the digital up-sampling module (103) for digital up-sampling processing, and then enters the frequency shift oscillation processing module (104) for frequency spectrum shift processing to output the original intermediate frequency data of a single carrier.
5. The peak clipping apparatus based on peak detection as set forth in claim 4, further comprising a carrier combining processor for performing carrier combining processing on the data after the spectrum shifting processing by the frequency shift oscillation processing module (104) to form original intermediate frequency data of the multi-carriers after combining when the baseband signal is multi-carrier data.
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| CNU2009200042193U CN201360268Y (en) | 2009-01-21 | 2009-01-21 | Peak clipping device based on peak detection |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098255A (en) * | 2009-12-15 | 2011-06-15 | 华为技术有限公司 | Method, device and base station for signal combination clipping |
| CN102231719A (en) * | 2011-05-27 | 2011-11-02 | 上海华为技术有限公司 | Wireless system sending signal wave clipping device, transmitter, base station and wave chipping method |
| CN102271105A (en) * | 2010-06-04 | 2011-12-07 | 电信科学技术研究院 | Intermediate frequency design method and device of broadband |
| CN102299883A (en) * | 2010-06-24 | 2011-12-28 | 大唐移动通信设备有限公司 | Crest reduction method and device of broadband signal |
| CN103036840A (en) * | 2012-11-23 | 2013-04-10 | 奥维通信股份有限公司 | Communication method and communication system both based on efficient crest factor reduction (CFR) processing |
| CN103929390A (en) * | 2013-01-14 | 2014-07-16 | 中兴通讯股份有限公司 | Baseband load shifting method and device of LTE system |
| CN111147418A (en) * | 2019-12-27 | 2020-05-12 | 京信通信系统（中国）有限公司 | Signal peak-to-average ratio reduction method, device, equipment and storage medium |
-
2009
- 2009-01-21 CN CNU2009200042193U patent/CN201360268Y/en not_active Expired - Lifetime
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102098255A (en) * | 2009-12-15 | 2011-06-15 | 华为技术有限公司 | Method, device and base station for signal combination clipping |
| CN102271105A (en) * | 2010-06-04 | 2011-12-07 | 电信科学技术研究院 | Intermediate frequency design method and device of broadband |
| CN102299883A (en) * | 2010-06-24 | 2011-12-28 | 大唐移动通信设备有限公司 | Crest reduction method and device of broadband signal |
| CN102299883B (en) * | 2010-06-24 | 2014-02-19 | 大唐移动通信设备有限公司 | Crest reduction method and device of broadband signal |
| CN102231719A (en) * | 2011-05-27 | 2011-11-02 | 上海华为技术有限公司 | Wireless system sending signal wave clipping device, transmitter, base station and wave chipping method |
| CN102231719B (en) * | 2011-05-27 | 2014-01-22 | 上海华为技术有限公司 | Wireless system sending signal wave clipping device, transmitter, base station and wave chipping method |
| CN103036840A (en) * | 2012-11-23 | 2013-04-10 | 奥维通信股份有限公司 | Communication method and communication system both based on efficient crest factor reduction (CFR) processing |
| CN103036840B (en) * | 2012-11-23 | 2015-08-19 | 奥维通信股份有限公司 | A kind of communication means based on efficient CFR process and system |
| CN103929390A (en) * | 2013-01-14 | 2014-07-16 | 中兴通讯股份有限公司 | Baseband load shifting method and device of LTE system |
| CN111147418A (en) * | 2019-12-27 | 2020-05-12 | 京信通信系统（中国）有限公司 | Signal peak-to-average ratio reduction method, device, equipment and storage medium |
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