CN102882645B - Method and device for detecting frame boundary - Google Patents
Method and device for detecting frame boundary Download PDFInfo
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- CN102882645B CN102882645B CN201210358259.4A CN201210358259A CN102882645B CN 102882645 B CN102882645 B CN 102882645B CN 201210358259 A CN201210358259 A CN 201210358259A CN 102882645 B CN102882645 B CN 102882645B
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Abstract
The invention discloses a method and a device for detecting a frame boundary, which belong to the communication field. The method comprises the following steps: a plurality of first sampling points included by a saved reference leading symbol are divided into a plurality of sampling point segments, each sampling point segment comprises a plurality of second sampling points, and one of the sampling point segments is selected as a reference sampling point segment; the sampling point sequence corresponding to a received signal and the reference sampling point segment are subject to cross-correlation operation to obtain the first cross-correlation value of the plurality of first sampling points included by the sampling point sequence; and sampling points corresponding to correlation peaks of the leading symbol are acquired according to the first cross-correlation value of the plurality of first sampling points, and the frame boundary of a frame is acquired according to the sampling points corresponding to the correlation peaks. The frame boundary detection device comprises a partitioning module, a calculation module and an acquisition module. According to the invention, the complexity in cross-correlation operation is lowered, the power consumption of frame boundary detection is reduced and the frame boundary detection efficiency is improved.
Description
Technical field
The present invention relates to the communications field, particularly a kind of method of frame boundary detection and device.
Background technology
In many communication systems, adopt frame to transmit data, after receiving terminal receives a string frame, the frame boundaries of each frame can be detected by the method for frame boundary detection, then distinguish each frame according to the frame boundaries of each frame.
Wherein, frame comprises the data etc. of one or more Preamble (leading) symbol and needs transmission, Preamble symbol comprises multiple sampling point, one is stored in advance with reference to Preamble symbol in receiving terminal, after receiving terminal receives sampling point sequence corresponding to signal, the frame boundaries of each frame that can comprise according to the sampling point sequence going out to receive with reference to Preamble symbol detection, be specially: the sampling point sequence of the sampling point comprised with reference to Preamble symbol and reception carries out computing cross-correlation, the Preamble symbol that the sampling point sequence of reception comprises is determined according to the result of computing cross-correlation, the frame boundaries of each frame that the sampling point sequence of reception comprises is determined according to the Preamble symbol determined.
Realizing in process of the present invention, inventor finds that prior art at least exists following problem:
The complexity that the sampling point directly comprised with reference to Preamble symbol and the sampling point sequence of reception carry out computing cross-correlation is higher, causes the inefficiency of the higher and frame boundary detection of the power consumption of frame boundary detection.
Summary of the invention
In order to reduce power consumption and the complexity of frame boundary detection, and improving the efficiency of frame boundary detection, the invention provides a kind of method and device of frame boundary detection.Described technical scheme is as follows:
A method for frame boundary detection, described method comprises:
First the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, and each sampling point section comprises second several sampling point, selects one of them sampling point section as reference sampling point section;
Sampling point sequence corresponding for the signal of reception and described reference sampling point section are carried out the first cross correlation value that computing cross-correlation obtains front first several sampling point that described sampling point sequence comprises;
Sampling point corresponding to the relevant peaks of leading symbol is obtained, according to the frame boundaries of sampling point getting frame corresponding to described relevant peaks according to the first cross correlation value of described first several sampling point.
A device for frame boundary detection, described device comprises:
Divide module, be divided into multiple sampling point section for first the several sampling point comprised by the reference stored leading symbol, each sampling point section comprises second several sampling point, selects one of them sampling point section as reference sampling point section;
Computing module, for carrying out sampling point sequence corresponding for the signal of reception and described reference sampling point section the first cross correlation value that computing cross-correlation obtains front first several sampling point that described sampling point sequence comprises;
Acquisition module, for obtaining sampling point corresponding to the relevant peaks of leading symbol according to the first cross correlation value of described first several sampling point, according to the frame boundaries of sampling point getting frame corresponding to described relevant peaks.
The beneficial effect of technical scheme provided by the invention is:
In embodiments of the present invention, first the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, each sampling point section comprises second several sampling point, select one of them sampling point section as reference sampling point section, the first cross correlation value that computing cross-correlation obtains front first several sampling point that this sampling point sequence comprises is carried out by sampling point sequence corresponding for the signal of reception with reference to sampling point section, sampling point corresponding to the relevant peaks of leading symbol is obtained, according to the frame boundaries of sampling point getting frame corresponding to relevant peaks according to the first cross correlation value of first several sampling point.Because first the several sampling point comprised by the reference stored leading symbol is divided into multiple sampling point section, again the sampling point sequence of one of them sampling point section and reception is carried out computing cross-correlation, the number of the sampling point participating in computing cross-correlation is so reduced when carrying out computing cross-correlation at every turn, thus reduce the complexity of computing cross-correlation and the power consumption of frame boundary detection, and improve the efficiency of frame boundary detection.
Accompanying drawing explanation
Fig. 1 is the method flow diagram of a kind of frame boundary detection that one embodiment of the invention provides;
Fig. 2 is the method flow diagram of a kind of frame boundary detection that another embodiment of the present invention provides;
Fig. 3 is the apparatus structure schematic diagram of a kind of frame boundary detection that another embodiment of the present invention provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
As shown in Figure 1, the invention provides a kind of method of frame boundary detection, comprising:
Step 101: first the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, and each sampling point section comprises second several sampling point, selects one of them sampling point section as reference sampling point section;
Step 102: carry out the first cross correlation value that computing cross-correlation obtains front first several sampling point that this sampling point sequence comprises by sampling point sequence corresponding for the signal of reception with reference to sampling point section;
Step 103: obtain sampling point corresponding to the relevant peaks of leading symbol according to the first cross correlation value of first several sampling point, according to the frame boundaries of sampling point getting frame corresponding to this relevant peaks.
In embodiments of the present invention, first the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, each sampling point section comprises second several sampling point, select one of them sampling point section as reference sampling point section, the first cross correlation value that computing cross-correlation obtains front first several sampling point that this sampling point sequence comprises is carried out by sampling point sequence corresponding for the signal of reception with reference to sampling point section, sampling point corresponding to the relevant peaks of leading symbol is obtained, according to the frame boundaries of sampling point getting frame corresponding to relevant peaks according to the first cross correlation value of first several sampling point.Because first the several sampling point comprised by the reference stored leading symbol is divided into multiple sampling point section, again the sampling point sequence of one of them sampling point section and reception is carried out computing cross-correlation, the number of the sampling point participating in computing cross-correlation is so reduced when carrying out computing cross-correlation at every turn, thus reduce the complexity of computing cross-correlation and the power consumption of frame boundary detection, and improve the efficiency of frame boundary detection.
Embodiments provide a kind of method of frame boundary detection.
Wherein, transmitting terminal will need the data encapsulation framing sent, and frame comprises the data etc. of frame boundaries and needs transmission; frame boundaries is made up of one or more leading symbol, and then sends a signal to receiving terminal, and this signal comprises and is packaged with frame; wherein, leading symbol can be Preamble symbol etc.
Wherein, data are represented with the sampling point of data-signal in the communications field, the a string sampling point sequence comprising multiple sampling point of frame represents, and a string sampling point sequence comprising first several sampling point of the leading symbol of frame represents, such as can with comprising the sampling point sequence of 256 sampling points, the sampling point sequence comprising 512 sampling points or the sampling point sequence etc. that comprises 1024 sampling points represents a leading symbol.
Wherein, receiving terminal receives the signal that transmitting terminal sends, the corresponding sampling point sequence of this signal, the method provided by this enforcement detects the leading symbol that each frame comprises from sampling point sequence corresponding to this signal, and the frame boundaries of each frame is determined according to leading symbol, see Fig. 2, the method comprises:
Step 201: first the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, and each sampling point section comprises second several sampling point, selects one of them sampling point section and the sampling point section of selection is defined as with reference to sampling point section;
Wherein, first several sampling point that can comprise with reference to leading symbol is divided into M sampling point section, M be greater than 1 integer, and in receiving terminal, store one in advance with reference to leading symbol, with reference to the corresponding sampling point sequence of leading symbol, comprise first several sampling point with reference to sampling point sequence corresponding to leading symbol, such as, the sampling point sequence with reference to boundary symbol can be comprise 256 sampling points sampling point sequence, comprise the sampling point sequence of 512 sampling points or comprise the sampling point sequence etc. of 1024 sampling points.
Wherein, a sampling point section can be selected at random from each sampling point section divided, and the sampling point section of selection is defined as with reference to sampling point section; Or, if M is more than or equal to 3, Stochastic choice sampling point section other sampling point sections preferentially except the sampling point section except leftmost side sampling point section and the rightmost side, and the sampling point section of selection is defined as with reference to sampling point section.
Such as, suppose that the first number be 1024, M be the 4, second number is 256, then store the reference leading symbol comprising 1024 sampling points in advance in receiving terminal; The sampling point sequence that receiving terminal received frame is corresponding is s
0, s
1, s
2, s
3, s
4, s
5..., s
n, 1024 sampling points comprised with reference to leading symbol are divided into 4 sampling point sections, are respectively P0, P1, P2, P3 tetra-sampling point sections, each sampling point section comprises 256 sampling points, from P0, the P2 sampling point section of selection is also defined as with reference to sampling point section by Stochastic choice P2 sampling point section in P1, P2, P3 tetra-sampling point sections; Or sampling point section P0 is leftmost side sampling point section, P3 is rightmost side sampling point section, preferentially Stochastic choice sampling point section from P1 and P2 two sampling point sections, supposes that the sampling point section selected is P2, the P2 sampling point section of selection is defined as with reference to sampling point section.
Step 202: first sampling point sampling point sequence corresponding for the signal of reception comprised is input in the first receive window, and the window size of the first receive window is the second number, arranges the initial value of sampling point input number;
Particularly, before the first receive window being placed on first sampling point of sampling point sequence corresponding to the signal of reception, mobile first receive window, to input first sampling point that this sampling point sequence comprises to the first receive window, arranges the initial value of sampling point input number.
Wherein, sampling point input number is for recording the sampling point number be input in the first receive window, and the initial value arranging sampling point input number can be 1 etc.
Further, before this step of execution, also create the first receive window, and the window size arranging the first receive window is the second number; The window size of the first receive window is the second number, represent in the first receive window and can hold at most second several sampling point, when the first receive window comprises second several sampling point, if input a sample to the first receive window again to narrow, then the sampling point inputted at first that the first receive window comprises will shift out the first receive window.
Such as, create the first receive window, the window size arranging the first receive window is the second number that is 256, first sampling point s that the sampling point sequence the first receive window being placed on reception comprises
0before, mobile first receive window, first sampling point s that the sampling point sequence to the first receive window input reception comprises
0, the initial value arranging sampling point input number is 1, and wherein, now the first receive window comprises 256 sampling points and is respectively sampling point s
-255to sampling point s
0.
Step 203: the sampling point comprised by the first receive window carries out computing cross-correlation with the sampling point comprised with reference to sampling point section, obtains the first cross correlation value of the current sampling point be input in the first receive window;
Wherein, the sampling point number that reference sampling point section comprises is the number of the sampling point that the second number and the first receive window comprise is the second number, second number is M/mono-of the first number, so the sampling point comprised by the first receive window and the sampling point comprised with reference to sampling point section carry out approximate M/mono-of the hardware resources such as the multiplier of the hardware devices such as multiplier required for computing cross-correlation and adder required for prior art and adder, reduce computational complexity and improve operation efficiency.
Such as, 256 sampling points comprised by the first receive window carry out computing cross-correlation with 256 sampling points comprised with reference to sampling point section, obtain the first cross correlation value of the current sampling point be input in the first receive window, i.e. sampling point s
0the first cross correlation value, wherein, being carried out the hardware resources such as multiplier required for computing cross-correlation and adder by the sampling point section comprising 256 sampling points is that reference leading symbol by comprising 1024 sampling points carries out approximate 1/4th of the hardware resources such as multiplier required for computing cross-correlation and adder, reduces computational complexity and improves operation efficiency.
Step 204: judge whether sampling point input number reaches the first number, if do not reached, then perform step 205, if reached, then perform step 206;
Wherein, if sampling point input number reaches the first number, then show in the first receive window, to input first several sampling point, and calculate the first cross correlation value of first several sampling point.
Step 205: mobile first receive window, to input next sampling point to the first receive window, increases sampling point input number, returns and perform step 203;
Wherein, increase the operation of sampling point input number, can be specially: sampling point is inputted number and adds 1.
Such as, sampling point input number 1 is judged, judges to be less than the first number 1024, mobile first receive window, to input next sampling point to the first receive window, i.e. sampling point s
1increase sampling point input number, obtaining sampling point input number is 2, and then returns execution above-mentioned steps 203 and 204, in like manner continue mobile first receive window to input next sampling point to the first receive window, until to the first receive window input sample s by above-mentioned steps
1023, and calculate sampling point s
1023the first cross correlation value time till, now inputted 1024 sampling points to the first receive window and calculated the first cross correlation value of 1024 sampling points, 1024 sampling points are respectively sampling point s
0, s
1..., s
1023.
Step 206: according to the first cross correlation value of first several sampling point, determines the sampling point that the peak value of leading symbol is corresponding;
Wherein, the sampling point that the peak value of the leading symbol determined is corresponding is the sampling point that the peak value of first leading symbol that frame comprises is corresponding.Particularly, this step specifically can comprise the step of following (1)-(7), is respectively:
(1): signed magnitude arithmetic(al) is carried out to the first cross correlation value of first several sampling point, obtain the first absolute value of first several sampling point, from first several sampling point, choose the sampling point of the first maximum absolute value;
(2): in first several sampling point, statistics is positioned at the first sampling point number of the sampling point before the sampling point of the first maximum absolute value, judges whether the first sampling point number is less than or equal to default 3rd number, if, then perform (3), if not, then perform (4);
(3): to the sequence number of the sampling point of the first maximum absolute value with preset the 3rd number and to get and computing obtains the 3rd sequence number, from first several sampling point, choose the sampling point that first sampling point to sequence number is the 3rd sequence number, then perform step (7);
(4): in first several sampling point, statistics is positioned at the second sampling point number of the sampling point after the sampling point of the first maximum absolute value, judge whether the second sampling point number is less than or equal to default 3rd number, if, then perform (5), if not, then step (6) is performed;
(5): according to sequence number and default 3rd number of the sampling point of the first maximum absolute value, the 4th sequence number is calculated by following formula (1), choose from first several sampling point sequence number be the sampling point of the 4th sequence number to last sampling point, then perform step (7);
Num4＝Number-N2-1……(1)；
Wherein, in formula (1), Num4 is the 4th sequence number, and Number is the sequence number of the sampling point of the first maximum absolute value, and N2 is for presetting the 3rd number.
(6): the sequence number according to the sampling point of the first maximum absolute value calculates the 5th sequence number with default 3rd number by following formula (2); And to the sequence number of the sampling point of the first maximum absolute value with preset the 3rd number and to get and computing obtains the 6th sequence number, to choose sequence number from first several sampling point be sampling point to the sequence number of the 5th sequence number is the sampling point of the 6th sequence number;
Num5＝Number-N2-1……(2)；
Wherein, in formula (2), Num5 is the 5th sequence number, and Number is the sequence number of the sampling point of the first maximum absolute value, and N2 is for presetting the 3rd number.
Such as, signed magnitude arithmetic(al) is carried out to the first cross correlation value of 1024 sampling points, obtain the first absolute value of 1024 sampling points, then choose the sampling point of the first maximum absolute value from these 1024 sampling points, suppose that the maximum sampling point of the first exhausted value is sampling point s
900, and default 3rd number is 100, wherein, in 1024 sampling points, statistics is positioned at sampling point s
900first sampling point number of sampling point is before 900, and statistics is positioned at sampling point s
900second sampling point number of sampling point be afterwards the 123, first sampling point number and the second sampling point number all more than the 3rd number 100, so according to sampling point s
900sequence number 900 and preset the 3rd number 100 to calculate the 5th sequence number by formula (2) be 799, to sampling point s
900sequence number 900 and preset the 3rd number 100 and carry out getting that to obtain the 6th sequence number with computing be 1000, from 1024 sampling points, choose sampling point s
799to sampling point s
1000.
(7), according to the first absolute value of sampling point do not chosen and the first maximum absolute value, determine that whether the sampling point of the first maximum absolute value is the sampling point that the peak value of leading symbol is corresponding.
Particularly, calculate the mean value of the first absolute value of the sampling point do not chosen, calculate the first ratio between the first maximum absolute value and the mean value of calculating, if the first ratio calculated is greater than default first ratio, then determine that the sampling point of the first maximum absolute value is the sampling point that the peak value of leading symbol is corresponding, if the first ratio calculated is less than or equal to default first ratio, then determine that the sampling point of the first maximum absolute value is not the sampling point that the peak value of leading symbol is corresponding; Or,
For convenience of explanation, the first maximum absolute value in first several sampling point is called the first maximum, select the first maximum absolute value in first absolute value of the sampling point never chosen and be called the second maximum, calculate the second ratio between the first maximum and the second maximum, if the second ratio calculated is greater than default second ratio, then determine that sampling point corresponding to the first maximum is the sampling point that the peak value of leading symbol is corresponding, if the second ratio calculated is less than or equal to default second ratio, then determine that sampling point corresponding to the first maximum is not the sampling point that the peak value of leading symbol is corresponding.
Such as, the sampling point do not chosen is respectively sampling point s
0to sampling point s
798and sampling point s
1001to sampling point s
1023calculate the mean value of the first absolute value of the sampling point do not chosen, calculate the first maximum absolute value and the first ratio of the mean value of the first absolute value of the sampling point do not chosen, suppose that the first ratio calculated is greater than default first ratio, then determine sampling point and the sampling point s of the first maximum absolute value
900it is the sampling point that the peak value of leading symbol is corresponding.
Wherein, if determine that the sampling point of the first maximum absolute value is not the sampling point that the peak value of leading symbol is corresponding, then sampling point input number is reset, abandon first the several sampling point be input in the first receive window, mobile first receive window, to input next sampling point to the first receive window, increase sampling point input number, then return and perform step 203.
Step 207: choose sampling point corresponding to the peak value of leading symbol adjacent with sampling point left and right corresponding to peak value preset the first numerical value sampling point;
Particularly, according to the sequence number of sampling point corresponding to the peak value of leading symbol with preset the first numerical value, calculate the first sequence number Num1 by following formula (3);
Num1＝Number0-N1-1……(3)；
Wherein, in formula (3), Number0 is the sequence number of the sampling point that peak value is corresponding, and N1 is for presetting the first numerical value;
According to the sequence number of sampling point corresponding to peak value with preset the first numerical value, calculate the second sequence number Num2 by following formula (4);
Num2＝Number0+N1……(4)；
Wherein, in formula (4), Number0 is the sequence number of the sampling point that peak value is corresponding, and N1 is for presetting the first numerical value;
From sampling point sequence corresponding to signal received, choose sequence number be the sampling point of the first sequence number is the sampling point of the second sequence number to sequence number, so realize choosing sampling point corresponding to the peak value of leading symbol adjacent with sampling point left and right corresponding to peak value preset the first numerical value sampling point.
Such as, suppose that presetting the first numerical value is 50, then corresponding according to peak value sampling point s
900sequence number 900 and to preset the first numerical value 50 and calculate the first sequence number by formula (3) be 849, the sampling point s corresponding according to peak value
900sequence number 900 and to preset the first numerical value 50 and calculate the second sequence number by formula (4) be 950, then choose sampling point s
849to sampling point s
950, totally 101 sampling points.
Step 208: first sampling point comprised by the sampling point chosen is input in the second receive window, the window size of the second receive window is the first number;
Particularly, according to the sequence number of sampling point corresponding to peak value with preset the first numerical value, calculate the 7th sequence number Num7 by following formula (5);
Num7＝Number0-N1-2……(5)；
Wherein, in formula (5), Number0 is the sequence number of the sampling point that peak value is corresponding, and N1 is for presetting the first numerical value;
The input of the second receive window is placed on sampling point that sequence number is the 7th sequence number and sequence number is between the sampling point of the first sequence number, mobile second receive window, with first sampling point that the sampling point realizing choosing to the input of the second receive window comprises, be namely the sampling point of the first sequence number to the second receive window input sequence number.
Wherein, the first sequence number can be subtracted one and obtain the 7th sequence number.
Further, before this step of execution, also perform establishment second receive window, the window size arranging the second receive window is the operation of the first number; The window size of the second receive window is the first number, represent in the second receive window and can hold at most first several sampling point, when the second receive window comprises first several sampling point, if input a sample to the second receive window again to narrow, then the sampling point inputted at first that the second receive window comprises will shift out the second receive window.
Such as, create the second receive window, the window size arranging the second receive window is 1024, the sampling point s corresponding according to peak value
900sequence number 900 and to preset the first numerical value 50 and calculate the 7th sequence number by formula (5) be 848, then at sampling point s
848with sampling point s
849between place the second receive window, mobile second receive window, to the second receive window input sample s
849, and 1024 sampling points that now the second receive window comprises are respectively sampling point s
-174to sampling point s
849.
Step 209: first several sampling point that first the several sampling point comprised with reference to leading symbol and the second receive window comprise carries out computing cross-correlation and obtain current the second cross correlation value being input to the sampling point of the second receive window;
Such as, 1024 sampling points comprised by the second receive window carry out computing cross-correlation with 1024 sampling points comprised with reference to leading symbol, obtain the second correlation of the current sampling point be input in the second receive window, namely obtain sampling point s
849the second cross correlation value.
Step 210: judge whether the sampling point chosen also exists the sampling point be not input in the second receive window, if also existed, then performs step 211, if there is no, then performs step 212;
Particularly, judge whether the current sequence number being input to the sampling point of the second receive window is the second sequence number, if, then judge in the sampling point chosen, to there is not the sampling point be not input in the second receive window, if not, then judge also there is the sampling point be not input in the second receive window in the sampling point chosen.
Step 211: mobile second receive window, to input next sampling point to the second receive window, returns execution 209;
Wherein, if there is not the sampling point be not input in the second receive window in the sampling point chosen, then show that the sampling point chosen is input to the second receive window all successively, and calculate the second cross correlation value of each sampling point chosen.
Such as, judge also there is the sampling point be not input in the second receive window in the sampling point selected, mobile second receive window, to the second receive window input sample s
850, return execution above-mentioned steps 209 and calculate sampling point s
850the second cross correlation value, in like manner calculate the second cross correlation value of 101 sampling points of selection by above-mentioned identical method.
Step 212: the second absolute value the second cross correlation value of each sampling point chosen being done to each sampling point that signed magnitude arithmetic(al) obtains choosing, determines the sampling point that relevant peaks that leading symbol is corresponding is corresponding by the sampling point of the second maximum absolute value;
Such as, the second cross correlation value of 101 sampling points chosen is done to the second absolute value of 101 sampling points that signed magnitude arithmetic(al) obtains choosing, select the sampling point of the second maximum absolute value, be assumed to be sampling point s
910, by sampling point s
910be defined as the sampling point that relevant peaks corresponding to leading symbol is corresponding.
Step 213: according to the frame boundaries of sampling point getting frame corresponding to the relevant peaks of leading symbol.
Particularly, this step specifically comprises the step of following (a)-(c), is respectively:
(a): the sampling point corresponding according to relevant peaks determines corresponding leading symbol, if frame comprises a leading symbol, then obtains the leading symbol that frame comprises, and determines the frame boundaries of frame according to this leading symbol;
Wherein, the sampling point that the relevant peaks of leading symbol is corresponding is last sampling point that this leading symbol comprises, so continuous first number before sampling point corresponding to relevant peaks and sampling point corresponding to relevant peaks subtracts a sampling point form a leading symbol.
Wherein, the frame boundaries of frame is first sampling point in first leading symbol comprising of frame, if frame comprises a leading symbol, then determines that the frame boundaries of frame is the first sampling point in this leading symbol.
Further, if frame comprises a default second value leading symbol, then also perform step (b) and (c) further, and first leading symbol that the leading symbol determined in step (a) is frame to be comprised.
B (): according to sequence number and first number of sampling point corresponding to relevant peaks, calculates the sequence number of sampling point corresponding to the peak value of next leading symbol, obtains the sampling point that the peak value of next leading symbol is corresponding;
Particularly, to the sequence number of sampling point corresponding to relevant peaks with the first number is got and computing obtains the sequence number of sampling point corresponding to the peak value of next leading symbol and then the sampling point that the peak value obtaining next leading symbol is corresponding.
(c): the step repeating above-mentioned steps 207 to 212 obtains sampling point corresponding to the relevant peaks of next leading symbol, the sampling point corresponding according to relevant peaks determines next leading symbol, repeat (b) and (c) two step until determine the default second value leading symbol that frame comprises, thus detect the frame boundaries of frame.
In embodiments of the present invention, first the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, each sampling point section comprises second several sampling point, select one of them sampling point section as reference sampling point section, the first cross correlation value that computing cross-correlation obtains front first several sampling point that this sampling point sequence comprises is carried out by sampling point sequence corresponding for the signal of reception with reference to sampling point section, sampling point corresponding to the relevant peaks of leading symbol is obtained, according to the frame boundaries of sampling point getting frame corresponding to relevant peaks according to the first cross correlation value of first several sampling point.Because first the several sampling point comprised by the reference stored leading symbol is divided into multiple sampling point section, again the sampling point sequence of one of them sampling point section and reception is carried out computing cross-correlation, the number of the sampling point participating in computing cross-correlation is so reduced when carrying out computing cross-correlation at every turn, thus reduce the complexity of computing cross-correlation and the power consumption of frame boundary detection, and improve the efficiency of frame boundary detection.
See Fig. 3, embodiments provide a kind of device of frame boundary detection, comprising:
Divide module 301, be divided into multiple sampling point section for first the several sampling point comprised by the reference stored leading symbol, each sampling point section comprises second several sampling point, selects one of them sampling point section as reference sampling point section;
Computing module 302, for by sampling point sequence corresponding for the signal of reception and the first cross correlation value carrying out front first several sampling point that sampling point sequence corresponding to signal that computing cross-correlation obtains receiving comprises with reference to sampling point section;
Acquisition module 303, for obtaining sampling point corresponding to the relevant peaks of leading symbol according to the first cross correlation value of first several sampling point, according to the frame boundaries of sampling point getting frame corresponding to this relevant peaks.
Wherein, computing module 302 comprises:
Input unit, is input in the first receive window for first sampling point sampling point sequence corresponding for the signal of reception comprised, and arrange the initial value of sampling point input number, the length of window of the first receive window is the second number;
First arithmetic element, the sampling point comprised for the sampling point that comprises with reference to sampling point section and the first receive window carries out computing cross-correlation, obtains current the first cross correlation value being input to the sampling point of the first receive window;
Judging unit, for judging whether sampling point input number reaches described first number, if do not reached, then mobile first receive window, to input next sampling point to the first receive window, increases sampling point input number.
Wherein, acquisition module 303 comprises:
Determining unit, for determining according to the first cross correlation value of first several sampling point the sampling point that the peak value of leading symbol is corresponding;
Choose unit, for choosing the adjacent default first numerical value sampling point in sampling point left and right corresponding to sampling point corresponding to this peak value and this peak value;
Second arithmetic element, for carrying out the second cross correlation value of each sampling point that computing cross-correlation obtains choosing by each sampling point chosen and reference leading symbol;
Acquiring unit, the sampling point that the relevant peaks for obtaining leading symbol according to the second cross correlation value of each sampling point chosen is corresponding, the frame boundaries corresponding according to the sampling point getting frame that this relevant peaks is corresponding.
Wherein, choose unit to comprise:
First computation subunit, for according to the sequence number presetting the first numerical value and sampling point corresponding to peak value, calculates the first sequence number Num1 by following formula (1),
Num1＝Number0-N1-1……(1)；
Wherein, in formula (1), Number0 is the sequence number of the sampling point that peak value is corresponding, and N1 is for presetting the first numerical value;
Second computation subunit, for according to the sequence number presetting the first numerical value and sampling point corresponding to peak value, calculates the second sequence number Num2 by following formula (2),
Num2＝Number0+N1……(2)；
First chooses subelement, is the sampling point of the second sequence number for choose sequence number from this sampling point sequence be the sampling point of the first sequence number to sequence number.
Wherein, the second arithmetic element comprises:
Input subelement, be input to the second receive window for first sampling point comprised by the sampling point chosen, the window size of the second receive window is the first number;
Operator unit, the sampling point comprised for the sampling point that comprises with reference to leading symbol and the second receive window carries out computing cross-correlation and obtains current the second cross correlation value being input to the sampling point of the second receive window;
Mover unit, if also there is for the sampling point chosen the sampling point be not input in the second receive window, then mobile second receive window, to input next sampling point to the second receive window.
Wherein, acquiring unit comprises:
First determines subelement, for doing the second absolute value of each sampling point that signed magnitude arithmetic(al) obtains choosing to the second cross correlation value of each sampling point chosen, the sampling point of the second maximum absolute value is defined as the sampling point that the relevant peaks of leading symbol is corresponding;
Second determines subelement, if comprise a leading symbol for frame, then corresponding according to relevant peaks sampling point determines corresponding leading symbol, according to the frame boundaries of this leading symbol determination frame.
Wherein, acquiring unit also comprises:
Second chooses subelement, the sampling point that the peak value for obtaining next leading symbol according to sampling point corresponding to the relevant peaks of leading symbol and the first number is corresponding, choose sampling point corresponding to peak value adjacent with sampling point left and right corresponding to peak value preset the first numerical value sampling point;
Obtain subelement, for each sampling point chosen and the sampling point comprised with reference to leading symbol being carried out the second cross correlation value of each sampling point that computing cross-correlation obtains choosing, obtain sampling point corresponding to the relevant peaks of next leading symbol according to the second cross correlation value of each sampling point chosen;
4th determines subelement, determines next leading symbol for the sampling point corresponding according to relevant peaks, as stated above until determine a default second value leading symbol, obtains the default second value leading symbol that frame comprises.
In embodiments of the present invention, first the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, each sampling point section comprises second several sampling point, select one of them sampling point section as reference sampling point section, the first cross correlation value that computing cross-correlation obtains front first several sampling point that this sampling point sequence comprises is carried out by sampling point sequence corresponding for the signal of reception with reference to sampling point section, sampling point corresponding to the relevant peaks of leading symbol is obtained, according to the frame boundaries of sampling point getting frame corresponding to relevant peaks according to the first cross correlation value of first several sampling point.Because first the several sampling point comprised by the reference stored leading symbol is divided into multiple sampling point section, again the sampling point sequence of one of them sampling point section and reception is carried out computing cross-correlation, the number of the sampling point participating in computing cross-correlation is so reduced when carrying out computing cross-correlation at every turn, thus reduce the complexity of computing cross-correlation and the power consumption of frame boundary detection, and improve the efficiency of frame boundary detection.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be read-only memory, disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (12)
1. a method for frame boundary detection, is characterized in that, described method comprises:
First the several sampling point comprised by the reference leading symbol stored is divided into multiple sampling point section, and each sampling point section comprises second several sampling point, selects one of them sampling point section as reference sampling point section;
Sampling point sequence corresponding for the signal of reception and described reference sampling point section are carried out the first cross correlation value that computing cross-correlation obtains front first several sampling point that described sampling point sequence comprises;
Sampling point corresponding to the relevant peaks of leading symbol is obtained, according to the frame boundaries of sampling point getting frame corresponding to described relevant peaks according to the first cross correlation value of described first several sampling point;
Wherein, obtain sampling point corresponding to the relevant peaks of leading symbol according to the first cross correlation value of described first several sampling point, according to the frame boundaries of sampling point getting frame corresponding to described relevant peaks, comprising:
The sampling point that the peak value of leading symbol is corresponding is determined according to the first cross correlation value of described first several sampling point;
Choose sampling point corresponding to described peak value adjacent with sampling point left and right corresponding to described peak value preset the first numerical value sampling point;
Described each sampling point of choosing and the described sampling point comprised with reference to leading symbol are carried out computing cross-correlation obtain described in the second cross correlation value of each sampling point of choosing;
The sampling point corresponding according to the relevant peaks of the second cross correlation value acquisition leading symbol of the described each sampling point chosen, the sampling point corresponding according to described relevant peaks obtains frame boundaries corresponding to described frame.
2. the method for claim 1, is characterized in that, described by sampling point sequence corresponding for the signal of reception with describedly carry out with reference to sampling point section the first cross correlation value that computing cross-correlation obtains front first several sampling point that described sampling point sequence comprises, and comprising:
First sampling point sampling point sequence corresponding for the signal of reception comprised is input in the first receive window, and arrange the initial value of sampling point input number, the length of window of described first receive window is the second number;
The sampling point that the sampling point comprise described reference sampling point section and described first receive window comprise carries out computing cross-correlation, obtains current the first cross correlation value being input to the sampling point of described first receive window;
Judge whether described sampling point input number reaches described first number, if do not reached, then moves described first receive window, to input next sampling point to described first receive window, increase described sampling point input number.
3. the method for claim 1, is characterized in that, described in choose sampling point corresponding to described peak value adjacent with sampling point left and right corresponding to described peak value preset the first numerical value sampling point, comprising:
According to the sequence number presetting the first numerical value and sampling point corresponding to described peak value, calculate the first sequence number Num1 by following formula (1),
Num1＝Number0-N1-1……(1)；
Wherein, in formula (1), Number0 is the sequence number of the sampling point that described peak value is corresponding, and N1 is for presetting the first numerical value;
According to the sequence number presetting the first numerical value and sampling point corresponding to described peak value, calculate the second sequence number Num2 by following formula (2),
Num2＝Number0+N1……(2)；
From described sampling point sequence, choose sequence number be the sampling point of the first sequence number is the sampling point of the second sequence number to sequence number.
4. the method for claim 1, is characterized in that, by described each sampling point of choosing and described with reference to leading symbol carry out computing cross-correlation obtain described in the second cross correlation value of each sampling point of choosing, comprising:
First sampling point comprised by the described sampling point chosen is input to the second receive window, the window size of described second receive window is the first number, the input of described second receive window is placed on sampling point that sequence number is the 7th sequence number and sequence number is between the sampling point of the first sequence number, the sampling point of described first sequence number for described in first sampling point comprising of the sampling point chosen, described 7th sequence number is according to the sequence number of sampling point corresponding to peak value and presets the first numerical value, calculate according to following formula (3)
Num7＝Number0-N1-2……(3)；
Wherein, in formula (3), Num7 is the 7th sequence number, and Number0 is the sequence number of the sampling point that peak value is corresponding, and N1 is for presetting the first numerical value;
The sampling point that the sampling point comprise described reference leading symbol and described second receive window comprise carries out computing cross-correlation and obtains current the second cross correlation value being input to the sampling point of described second receive window;
If described in the sampling point chosen also there is the sampling point be not input in described second receive window, then move described second receive window, to input next sampling point to described second receive window.
5. the method for claim 1, is characterized in that, the sampling point corresponding according to the relevant peaks of the second cross correlation value acquisition leading symbol of the described each sampling point chosen, and the frame boundaries corresponding according to the sampling point getting frame that described relevant peaks is corresponding, comprising:
To the second cross correlation value of the described each sampling point chosen do signed magnitude arithmetic(al) obtain described in the second absolute value of each sampling point of choosing, the sampling point of the second maximum absolute value is defined as the sampling point that the relevant peaks of leading symbol is corresponding;
If described frame comprises a leading symbol, then corresponding according to described relevant peaks sampling point determines corresponding leading symbol, according to the frame boundaries of described leading symbol determination frame.
6. method as claimed in claim 5, is characterized in that, if described frame comprises a default second value leading symbol, after the sampling point that the relevant peaks that the described sampling point by the second maximum absolute value is defined as leading symbol is corresponding, also comprise:
The sampling point that the peak value that the sampling point corresponding according to the relevant peaks of described leading symbol and described first number obtain next leading symbol is corresponding, choose sampling point corresponding to described peak value adjacent with sampling point left and right corresponding to described peak value preset the first numerical value sampling point;
Described each sampling point of choosing and the described sampling point comprised with reference to leading symbol are carried out computing cross-correlation obtain described in the second cross correlation value of each sampling point of choosing, obtain sampling point corresponding to the relevant peaks of next leading symbol according to the second cross correlation value of the described each sampling point chosen;
The sampling point corresponding according to described relevant peaks determines next leading symbol, as stated above until determine a default second value leading symbol, obtains the default second value leading symbol that described frame comprises.
7. a device for frame boundary detection, is characterized in that, described device comprises:
Divide module, be divided into multiple sampling point section for first the several sampling point comprised by the reference stored leading symbol, each sampling point section comprises second several sampling point, selects one of them sampling point section as reference sampling point section;
Computing module, for carrying out sampling point sequence corresponding for the signal of reception and described reference sampling point section the first cross correlation value that computing cross-correlation obtains front first several sampling point that described sampling point sequence comprises;
Acquisition module, for obtaining sampling point corresponding to the relevant peaks of leading symbol according to the first cross correlation value of described first several sampling point, according to the frame boundaries of sampling point getting frame corresponding to described relevant peaks;
Wherein, described acquisition module comprises:
Determining unit, for determining according to the first cross correlation value of described first several sampling point the sampling point that the peak value of leading symbol is corresponding;
Choose unit, for choose sampling point corresponding to described peak value adjacent with sampling point left and right corresponding to described peak value preset the first numerical value sampling point;
Second arithmetic element, for described each sampling point of choosing and the described sampling point comprised with reference to leading symbol are carried out computing cross-correlation obtain described in the second cross correlation value of each sampling point of choosing;
Acquiring unit, the second cross correlation value for each sampling point of choosing described in basis obtains sampling point corresponding to the relevant peaks of leading symbol, and the sampling point corresponding according to described relevant peaks obtains frame boundaries corresponding to described frame.
8. device as claimed in claim 7, it is characterized in that, described computing module comprises:
Input unit, is input in the first receive window for first sampling point sampling point sequence corresponding for the signal of reception comprised, and arrange the initial value of sampling point input number, the length of window of described first receive window is the second number;
First arithmetic element, carries out computing cross-correlation for the sampling point described sampling point that comprises with reference to sampling point section and described first receive window comprised, obtains current the first cross correlation value being input to the sampling point of described first receive window;
Judging unit, for judging whether described sampling point input number reaches described first number, if do not reached, then moves described first receive window, to input next sampling point to described first receive window, increases described sampling point input number.
9. device as claimed in claim 8, is characterized in that, described in choose unit and comprise:
First computation subunit, for according to the sequence number presetting the first numerical value and sampling point corresponding to described peak value, calculates the first sequence number Num1 by following formula (1),
Num1＝Number0-N1-1……(1)；
Wherein, in formula (1), Number0 is the sequence number of the sampling point that described peak value is corresponding, and N1 is for presetting the first numerical value;
Second computation subunit, for according to the sequence number presetting the first numerical value and sampling point corresponding to described peak value, calculates the second sequence number Num2 by following formula (2),
Num2＝Number0+N1……(2)；
First chooses subelement, is the sampling point of the second sequence number for choose sequence number from described sampling point sequence be the sampling point of the first sequence number to sequence number.
10. device as claimed in claim 7, it is characterized in that, described second arithmetic element comprises:
Input subelement, first sampling point for being comprised by the described sampling point chosen is input to the second receive window, the window size of described second receive window is the first number, the input of described second receive window is placed on sampling point that sequence number is the 7th sequence number and sequence number is between the sampling point of the first sequence number, the sampling point of described first sequence number for described in first sampling point comprising of the sampling point chosen, described 7th sequence number is according to the sequence number of sampling point corresponding to peak value and presets the first numerical value, calculate according to following formula (3)
Num7＝Number0-N1-2……(3)；
Wherein, in formula (3), Num7 is the 7th sequence number, and Number0 is the sequence number of the sampling point that peak value is corresponding, and N1 is for presetting the first numerical value;
Operator unit, the sampling point for the described sampling point that comprises with reference to leading symbol and described second receive window being comprised carries out computing cross-correlation and obtains current the second cross correlation value being input to the sampling point of described second receive window;
Mover unit, if for described in the sampling point chosen also there is the sampling point be not input in described second receive window, then move described second receive window, to input next sampling point to described second receive window.
11. devices as claimed in claim 7, it is characterized in that, described acquiring unit comprises:
First determines subelement, for the second cross correlation value of the described each sampling point chosen is done signed magnitude arithmetic(al) obtain described in the second absolute value of each sampling point of choosing, the sampling point of the second maximum absolute value is defined as the sampling point that the relevant peaks of leading symbol is corresponding;
Second determines subelement, if comprise a leading symbol for described frame, then corresponding according to described relevant peaks sampling point determines corresponding leading symbol, according to the frame boundaries of described leading symbol determination frame.
12. devices as claimed in claim 11, it is characterized in that, described acquiring unit also comprises:
Second chooses subelement, for the sampling point that the peak value obtaining next leading symbol according to sampling point corresponding to the relevant peaks of described leading symbol and described first number is corresponding, choose sampling point corresponding to described peak value adjacent with sampling point left and right corresponding to described peak value preset the first numerical value sampling point;
Obtain subelement, for described each sampling point of choosing and the described sampling point comprised with reference to leading symbol are carried out computing cross-correlation obtain described in the second cross correlation value of each sampling point of choosing, obtain sampling point corresponding to the relevant peaks of next leading symbol according to the second cross correlation value of the described each sampling point chosen;
4th determines subelement, determines next leading symbol for the sampling point corresponding according to described relevant peaks, as stated above until determine a default second value leading symbol, obtains the default second value leading symbol that described frame comprises.
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