CN103051423A - Extraction method of soft viterbi decision decoding information under 8PSK (Phase Shift Keying) modulation - Google Patents
Extraction method of soft viterbi decision decoding information under 8PSK (Phase Shift Keying) modulation Download PDFInfo
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Abstract
The invention belongs to a channel coding and decoding technology and provides an extraction method of soft viterbi decision decoding information under 8PSK (Phase Shift Keying) modulation. The extraction method comprises the following steps of: selecting two reference signals in a constellation diagram, which are nearest to a received symbol, projecting the distance between the two selected reference signals and the received symbol on a connecting line of the two reference signals to approximately calculate demodulation output soft information, and carrying out uniform quantizing on the demodulation output soft information obtained through calculation to realize extraction of the demodulation output soft information under the 8PSK modulation so as to realize viterbi soft decision decoding. Compared with a hard decision decoding method, the extraction method disclosed by the invention has the advantages of remarkably improving the decoding performance under the lower calculation complexity.
Description
Technical field
The invention belongs to the channel decoding field, particularly the lower soft information extracting method of Viterbi Soft decision decoding of a kind of 8PSK modulation.
Background technology
The extraction of BPSK and the lower soft information of Viterbi Soft decision decoding demodulation of QPSK modulation can be adopted very accurate method, can realize under lower complexity that significant decoding performance promotes.But the PSK of 8PSK and more high system modulation is lower, when adopting the Viterbi Soft decision decoding, can't provide to the extraction of the soft information of demodulation a kind of accurate computational methods.
Summary of the invention
The object of the invention is to overcome above-mentioned deficiency, provide a kind of approximate calculation method to calculate soft information, and quantize by the soft information that uniform quantization will be calculated gained, thereby provide soft input information for the Viterbi Soft decision decoding.
For realizing above-mentioned technical purpose, scheme provided by the invention is: the lower soft information extracting method of Viterbi Soft decision decoding of a kind of 8PSK modulation comprises two steps of soft information calculations and soft information quantization.
Wherein, soft information calculations comprises the steps:
2) according to 8PSK signal constellation (in digital modulation) figure, calculate
The Euclidean distance of each fiducial mark to the planisphere;
3) contrast the Euclidean distance of calculating, choose correspondence
Bit be 0 and with
Nearest fiducial mark
, choose correspondence
Bit be 1 and with
Nearest fiducial mark
4) calculate by
Point to
Distance vector
, by
Point to
Distance vector
With by
Point to
Distance vector
5) will
To
Do projection, and the mould of getting projection vector gets
, will
To
Do projection, and the mould of getting projection vector gets
7) contrast the Euclidean distance of calculating, choose correspondence
Bit be 0 and with
Nearest fiducial mark
, choose correspondence
Bit be 1 and with
Nearest fiducial mark
8) calculate by
Point to
Distance vector
, by
Point to
Distance vector
With by
Point to
Distance vector
9) will
To
Do projection, and the mould of getting projection vector gets
, will
To
Do projection, and the mould of getting projection vector gets
11) contrast the Euclidean distance of calculating, choose correspondence
Bit be 0 and with
Nearest fiducial mark
, choose correspondence
Bit be 1 and with
Nearest fiducial mark
12) calculate by
Point to
Distance vector
, by
Point to
Distance vector
With by
Point to
Distance vector
13) will
To
Do projection, and the mould of getting projection vector gets
, will
To
Do projection, and the mould of getting projection vector gets
Soft information quantization comprises the steps:
Such as 8 system uniform quantization tables of table 1,8 systems represent the arbitrary integer of quantized value desirable 0 ~ 7, uniform quantization represent quantized interval be with
Span
Make five equilibrium, thus obtain 8 system uniform quantization tables such as table 1, wherein quantized interval be with
Make 8 five equilibriums, corresponding quantized value is 0 ~ 7.
Table 1
Repeat above-mentioned soft information calculations step and soft information quantization step, until finish the extraction of soft information corresponding to N symbol.
The present invention by choose two with the nearest planisphere of receiving symbol in reference signal, and come the approximate calculation demodulation to export soft information at two reference signal lines do projection the reference signal chosen and the distance of receiving symbol, then soft information is exported in the demodulation that calculates and done uniform quantization, the lower Viterbi Soft decision decoding of 8PSK modulation has been provided a kind of effective implementation method.Than Hard decision decoding, this method has significantly improved decoding performance under low computation complexity.
Description of drawings
Fig. 1 is flow chart of steps of the present invention.
Fig. 2 is 8PSK signal constellation (in digital modulation) figure.
Fig. 3 ~ Fig. 5 is the receiving symbol perspective view.
Fig. 6 is decoding performance correlation curve figure.
Embodiment
The invention will be further described below in conjunction with drawings and Examples.
Communicating pair model communication link of the present invention, as shown in Figure 1, receiving terminal is to the sign computation that receives and extract demodulation and export soft information.Suppose that receiving terminal receives 512 symbols in its time of reception window.
At first carry out soft information calculations.
In the symbol that receiving terminal is received, get the 1st symbol, calculate the Euclidean distance between each fiducial mark among this symbol and the 8PSK signal constellation (in digital modulation) figure.8PSK signal constellation (in digital modulation) figure is referring to shown in Figure 2.Suppose first symbol of receiving
Position in planisphere as shown in Figure 3.
According to 8PSK signal constellation (in digital modulation) figure, calculate
The Euclidean distance of each fiducial mark to the planisphere.
The Euclidean distance that contrast is calculated as shown in Figure 3, is chosen correspondence
Bit be 0 and with
Nearest fiducial mark
Choose correspondence
Bit be 1 and with
Nearest fiducial mark
Calculate the mould value of two projection vectors
,
Ratio calculated
The Euclidean distance that contrast is calculated as shown in Figure 4, is chosen correspondence
Bit be 0 and with
Nearest fiducial mark
Choose correspondence
Bit be 1 and with
Nearest fiducial mark
Calculate the mould value of two projection vectors
,
Ratio calculated
The Euclidean distance that contrast is calculated as shown in Figure 5, is chosen correspondence
Bit be 0 and with
Nearest fiducial mark
Choose correspondence
Bit be 1 and with
Nearest fiducial mark
Calculate the mould value of two projection vectors
,
Ratio calculated
Process carrying out soft information quantization on above-mentioned soft information calculations result's the basis again, according to the uniform quantization table shown in the table 1, respectively will
,
,
Quantize.For example, suppose gained in soft information calculations
,
,
, obtain after quantizing so
,
,
Be 8 system uniform quantization tables at this table 1 of giving an example, 8 systems represent the arbitrary integer of quantized value desirable 0 ~ 7, uniform quantization represent quantized interval be with
Span
Make five equilibrium, thus obtain 8 system uniform quantization tables such as table 1, wherein quantized interval be with
Make 8 five equilibriums, corresponding quantized value is 0 ~ 7.
Table 1
Repeat above-mentioned soft information calculations step and soft information quantization step, finish the soft information extraction of demodulation to 512 symbols that receive, thereby provide soft input information for the Viterbi Soft decision decoding.
At last, adopting emulation tool that performance of the present invention is carried out emulation, under Gaussian white noise channel, is that the convolutional coded signal of (133,171) is deciphered emulation to the lower generator polynomial that adopts of 8PSK modulation, and the decoding performance correlation curve as shown in Figure 6.There is shown Hard decision decoding performance theoretical curve and adopt Soft decision decoding performance curve of the present invention.In the BER(bit error rate) when being 10-5, than Hard decision decoding, adopt Soft decision decoding of the present invention to bring the performance advantage of 1.5dB.
Claims (1)
1. a 8PSK modulates the lower soft information extracting method of Viterbi Soft decision decoding, it is characterized in that: comprise two steps of soft information calculations and soft information quantization, wherein,
Soft information calculations comprises the steps:
2) according to 8PSK signal constellation (in digital modulation) figure, calculate
The Euclidean distance of each fiducial mark to the planisphere;
3) contrast the Euclidean distance of calculating, choose correspondence
Bit be 0 and with
Nearest fiducial mark
, choose correspondence
Bit be 1 and with
Nearest fiducial mark
4) calculate by
Point to
Distance vector
, by
Point to
Distance vector
With by
Point to
Distance vector
5) will
To
Do projection, and the mould of getting projection vector gets
, will
To
Do projection, and the mould of getting projection vector gets
7) contrast the Euclidean distance of calculating, choose correspondence
Bit be 0 and with
Nearest fiducial mark
, choose correspondence
Bit be 1 and with
Nearest fiducial mark
8) calculate by
Point to
Distance vector
, by
Point to
Distance vector
With by
Point to
Distance vector
9) will
To
Do projection, and the mould of getting projection vector gets
, will
To
Do projection, and the mould of getting projection vector gets
11) contrast the Euclidean distance of calculating, choose correspondence
Bit be 0 and with
Nearest fiducial mark
, choose correspondence
Bit be 1 and with
Nearest fiducial mark
12) calculate by
Point to
Distance vector
, by
Point to
Distance vector
With by
Point to
Distance vector
13) will
To
Do projection, and the mould of getting projection vector gets
, will
To
Do projection, and the mould of getting projection vector gets
Soft information quantization comprises the steps:
3) according to the uniform quantization table, will
Be quantified as
Repeat above-mentioned soft information calculations step and soft information quantization step, until finish the extraction of soft information corresponding to N symbol.
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101404564A (en) * | 2008-11-14 | 2009-04-08 | 南京航空航天大学 | Soft demodulation method for 8PSK Gray mapping |
US20090310720A1 (en) * | 2006-08-28 | 2009-12-17 | Sony Deutschland Gmbh | Equalizing structure and equalizing method |
CN101621300A (en) * | 2009-07-22 | 2010-01-06 | 清华大学 | Soft-in-soft-out NR decoder and soft information generation method thereof |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090310720A1 (en) * | 2006-08-28 | 2009-12-17 | Sony Deutschland Gmbh | Equalizing structure and equalizing method |
CN101404564A (en) * | 2008-11-14 | 2009-04-08 | 南京航空航天大学 | Soft demodulation method for 8PSK Gray mapping |
CN101621300A (en) * | 2009-07-22 | 2010-01-06 | 清华大学 | Soft-in-soft-out NR decoder and soft information generation method thereof |
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