CN102088428A - System and method for processing signals - Google Patents

Abstract

The present invention is a signal processing system and method, including: a calculation device, used to receive a signal, calculate a phase error of the signal and generate a weight according to the phase error; a signal adjustment and corresponding device, coupled to the The computing device is used to receive the signal and generate a plurality of soft values according to the weight and the signal; and the decoder is coupled to the signal adjusting and corresponding device and used to decode the soft values to generate a data.

Description

Signal processing system and method

technical field

The present invention relates to a signal processing system and method, in particular to a signal processing system and method for adjusting a signal according to a phase error of the signal to improve decoding performance.

Background technique

FIG. 1 is a functional block diagram of a conventional signal processing system 10 , including a computing device 120 , a demapper 140 and a decoder 180 . The calculation device 120 calculates a phase error θ (phase error) according to a part of the signal, such as a pilot signal (pilot), and further generates a phase correction value e ^jθ . The inverse mapper 140 receives the signal and corrects the value e ^jθ according to the phase of the computing device 120 , corrects the phase of the signal and then inverse maps it into a plurality of soft values. Decoder 180 decodes these soft values back into data output.

FIG. 2 is a functional block diagram of the computing device 120 , including phase computing units 121 , 122 , 123 and 124 , an adding unit 126 , a dividing unit 128 and an exponent computing unit 129 . The phase calculation units 121 , 122 , 123 and 124 respectively receive the pilot signals P ₋₂₁ , P ₋₇ , P ₇ and P ₂₁ , and calculate individual phases of P ₋₂₁ , P ₋₇ , P ₇ and P _2I respectively. The adding unit 126 sums up the individual phases of P ₋₂₁ , P ₋₇ , P ₇ and P ₂₁ , and calculates the average through the dividing unit 128 to obtain the phase error θ. Next, the exponential operation unit 129 generates a phase correction value e ^jθ . The computing device 120 is designed according to the IEEE 802.11a/g specification, and its detailed operation is well known to those familiar with this technical field, so it will not be repeated here.

In the signal processing system, when the signal arrives at the receiving end, phase errors will be generated due to noise, including sampling time offset (sampling time offset, STO), carrier frequency offset (carrier frequency offset, CFO), phase noise (phase noise) and sampling clock offset (sampling clock offset, SCO) and so on. However, the existing technology only incorporates the channel frequency response into the soft-output demapper, and does not solve the phase error still existing in the system, which will make it difficult for the signal processing system 10 to handle it correctly Signal.

Viterbi decoder 180 receives these soft values to decode the transmitted data. When the received signal has a phase error, if the decoder 180 can receive information about the phase error, more correct data can be decoded. Therefore, it is very urgent to develop a signal processing system and method for adjusting a signal according to the phase error of the signal, so that the signal processing system can have better performance.

Contents of the invention

One of the objectives of the present invention is to provide a signal processing system and method for improving decoding performance by adjusting a signal according to a phase error of the signal, so that the signal processing system can have better performance.

The present invention proposes a signal processing system, comprising: a calculation device, used to receive a signal, calculate a phase error of the signal and generate a weight according to the phase error; a signal adjustment and corresponding device, coupled to the calculation device , for receiving the signal and generating a plurality of soft values according to the weight and the signal; and a decoder, coupled to the signal adjustment and corresponding device, for decoding the soft values to generate a data.

The present invention also proposes a signal processing method, comprising: receiving a signal; analyzing the signal to obtain a phase error of the signal; obtaining a weight according to the phase error and a function; generating a plurality of soft values according to the weight and the signal ; and decoding the soft values to generate a data.

The present invention also proposes a signal processing system, including: a signal adjustment device, used to receive a signal and analyze the signal to obtain a phase error of the signal, and generate a weight according to the phase error, and use the weight to adjust The signal is used to generate an adjusted signal; the signal corresponding device is coupled to the signal adjustment device for converting the adjusted signal into a plurality of soft values; and the decoder is coupled to the signal corresponding device for decoding these Soft value to generate a data.

The present invention proposes a signal receiving system and method for solving the phase error in the signal, so that the decoder can receive the information about the phase error, and can decode the data more accurately, so that the signal processing system can have better performance.

In order to further understand the features and technical content of the present invention, please refer to the following detailed description and drawings related to the present invention. However, the drawings are only for reference and illustration, and are not intended to limit the present invention.

Description of drawings

The present invention can be understood more clearly through the following detailed description in conjunction with the accompanying drawings:

FIG. 1 is a functional block diagram of an existing signal processing system.

FIG. 2 is a functional block diagram of a computing device.

FIG. 3 is a functional block diagram of a signal processing system according to a first embodiment of the present invention.

FIG. 4 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment.

FIG. 5 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment.

FIG. 6 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment.

FIG. 7 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment.

FIG. 8 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment.

FIG. 9 is a functional block diagram of a signal processing system according to a second embodiment of the present invention.

FIG. 10 is a detailed functional block diagram of the signal adjusting device and the signal corresponding device of the second embodiment.

FIG. 11 is a flowchart of a signal processing method according to a third embodiment of the present invention.

Detailed ways

FIG. 3 is a functional block diagram of a signal processing system 30 according to the first embodiment of the present invention, including: a computing device 320 , a signal adjustment and corresponding device 340 and a decoder 380 .

The calculation device 320 calculates the phase error θ and generates a phase correction value e ^jθ according to a part of the signal, such as the pilot signal. The computing device 320 obtains a weight f(θ) according to a function f(x). For example, the weight f(θ) is inversely proportional to the phase error θ. The function f(x) is, for example, f(x)=k1/( k2+ ^xi ), where k1 and k2 are real numbers and i is a positive number, generating a weight f(θ). The signal includes an in-phase signal (I signal) and a quadrature signal (Q signal), and the phase error includes sampling time offset, carrier frequency offset, phase noise, and sampling clock offset.

The signal adjustment and correspondence device 340 receives the signal and adjusts the signal only according to the weight f(θ) of the calculation device 320 or at the same time according to the weight f(θ) of the calculation device 320 and the phase correction value e ^jθ , and then corresponds the adjusted signal to to multiple soft values. Decoder 380 decodes these soft values back into data output.

FIG. 4 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment, including: the computing device 330 and the signal adjustment and corresponding device 350; the computing device 320 and the signal adjustment and corresponding device 340 depicted in FIG. 3 It can be implemented by the computing device 330 and the signal adjusting and corresponding device 350 depicted in FIG. 4 . The calculation device 330 includes: a phase error calculation unit 322 , a weight calculation unit 324 and a phase correction value generation unit 326 . The signal adjustment and correspondence device 350 at least includes: multiplication units 341 , 345 , 346 and 347 , mapping function correspondence units 342 , 343 and 344 and quantization units 348 , 349 and 3410 .

The phase error calculation unit 322 calculates the phase error θ according to the pilot signal. The weight calculation unit 324 calculates the weight f(θ) according to a function. The phase correction value generating unit 326 generates the phase correction value e ^jθ according to the phase error. The multiplication unit 341 multiplies the signal by a phase correction value e ^jθ to correct the signal. The signal adjusting and corresponding device 350 divides the corrected signal into an I coordinate value and a Q coordinate value. Taking the I coordinate value as an example, the mapping function corresponding units 342, 343 and 344 are based on a mapping function, for example:

$\left\{\begin{array}{c}{\mathrm{<span\; class="notranslate">\; <figure-callout\; id="0"\; label="I"\; filenames="H2009102541326E0000031.png,H2009102541326E0000041.png"\; state="\{\{state\}\}">I</figure-callout></span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; I</span>}\\ {\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 4</span>}\\ {\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; 1</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; |</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 2</span>}\end{array}\right.$

The I coordinate values are respectively mapped to function values I ₀ _1 , I ₁ _1 and I ₂ _1 . Then the function values I ₀ _1 , I ₁ _1 and I ₂ _1 are multiplied by the weight f(θ) through the multiplication units 345 , 346 and 347 to obtain the adjustment values I ₀ _2 , I ₁ _2 and I ₂ _2 . Then, the adjustment values I ₀ _2 , I ₁ _2 and I ₂ _2 are quantized into soft values I ₀ , I ₁ and I ₂ by the quantization units 348 , 349 and 3410 .

For example, if the I coordinate value=5.3, then the function values I ₀ _1=5.3, I ₁ _1=−1.3 and I ₂ _1=0.7. f(x) is for example 0.2/x, θ is for example 20 degrees, then f(θ)=0.01, and the adjustment values are I ₀ _2=0.053, I ₁ _2=-0.0I3 and I ₂ _2=0.007. The soft values after quantization (eg unconditional carry) are I ₀ =1, I ₁ =−1 and I ₂ =1. The Q coordinate value is the same, so it will not be repeated here.

FIG. 5 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment, including: a computing device 330 and a signal adjustment and corresponding device 352 . The computing device 320 and the signal adjusting and corresponding device 340 shown in FIG. 3 can be implemented by the computing device 330 and the signal adjusting and corresponding device 352 shown in FIG. 5 . In this embodiment, the function value I ₀ _1 generated by the mapping function corresponding unit 342 is first quantized by the quantization unit 3411 to form an intermediate value, and then multiplied by the weight f(θ) by the multiplication unit 3412 to obtain the adjusted value I ₀ _4, Then the deinterleaving unit 3413 deinterleaves the adjustment value I ₀ —4 to generate the soft value I ₀ . The methods of generating other soft values I ₁ , I ₂ and Q ₀ , Q ₁ , Q ₂ are similar to those described above, and will not be repeated here.

FIG. 6 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment, including: a computing device 330 and a signal adjustment and corresponding device 354 . The computing device 320 and the signal adjusting and corresponding device 340 shown in FIG. 3 can be implemented by the computing device 330 and the signal adjusting and corresponding device 354 shown in FIG. 6 . In this embodiment, the function value I ₀ _1 generated by the mapping function corresponding unit 342 is first quantized by the quantization unit 3411 to form an intermediate value I ₀ _3, and then deinterleaved by the deinterleaving unit 3414 to generate a deinterleaved value I ₀ _5, Then the multiplication unit 3415 multiplies the de-interleaved value I ₀ _5 by the weight f(θ) to obtain the soft value I ₀ . The methods of generating other soft values I ₁ , I ₂ and Q ₀ , Q ₁ , Q ₂ are similar to those described above, and will not be repeated here.

FIG. 7 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment, including: the computing device 330 and the signal adjustment and corresponding device 356 . The computing device 320 and the signal adjusting and corresponding device 340 shown in FIG. 3 can be implemented by the computing device 330 and the signal adjusting and corresponding device 356 shown in FIG. 7 . The multiplication unit 3416 multiplies the I coordinate value by the weight f(θ) to generate the adjustment value I_6. The inverse mapper 3417 inverse maps the adjustment value I_6 into soft values I ₀ , I ₁ and I ₂ . Since the weight f(θ) is multiplied before the corresponding mapping function, the aforementioned mapping function needs to be modified as follows:

$\left\{\begin{array}{c}{\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 0</span>}}<span\; class="notranslate">\; \_</span>{\mathrm{<span\; class="notranslate">\; 6</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; =</span>\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; 6</span>}\\ {\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 1</span>}}<span\; class="notranslate">\; \_</span>{\mathrm{<span\; class="notranslate">\; 6</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; \&Center\; Dot;</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; )</span>\\ {\mathrm{<span\; class="notranslate">\; I</span>}}_{\mathrm{<span\; class="notranslate">\; 2</span>}}<span\; class="notranslate">\; \_</span>{\mathrm{<span\; class="notranslate">\; 6</span>}}^{<span\; class="notranslate">\; *</span>}<span\; class="notranslate">\; =</span><span\; class="notranslate">\; -</span><span\; class="notranslate">\; |</span><span\; class="notranslate">\; |</span>\mathrm{<span\; class="notranslate">\; I</span>}<span\; class="notranslate">\; \_</span>\mathrm{<span\; class="notranslate">\; 6</span>}<span\; class="notranslate">\; |</span><span\; class="notranslate">\; -</span>\mathrm{<span\; class="notranslate">\; 4</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; )</span><span\; class="notranslate">\; |</span><span\; class="notranslate">\; +</span>\mathrm{<span\; class="notranslate">\; 2</span>}<span\; class="notranslate">\; \&CenterDot;</span>\mathrm{<span\; class="notranslate">\; f</span>}<span\; class="notranslate">\; (</span>\mathrm{<span\; class="notranslate">\; \&theta;</span>}<span\; class="notranslate">\; )</span>\end{array}\right.$

The same is true for the Q coordinate value, and the rest of the operation methods are similar to the above, and will not be repeated here.

FIG. 8 is a detailed functional block diagram of the computing device and the signal adjustment and corresponding device of the first embodiment, including: a computing device 330 and a signal adjustment and corresponding device 358 . The computing device 320 and the signal adjusting and corresponding device 340 shown in FIG. 3 can be implemented by the computing device 330 and the signal adjusting and corresponding device 358 shown in FIG. 8 . In this embodiment, the value generated by the multiplication unit 341 is multiplied by the weight f(θ) by the multiplication unit 3418 and then divided into I_6 and Q_6, so that the I and Q coordinate values can share a multiplication unit, and then passed through the inverse imager 3417 Generate soft values I ₀ , I ₁ and I ₂ . The same is true for the Q coordinate value, and the rest of the operation methods are similar to the above, and will not be repeated here.

FIG. 9 is a functional block diagram of a signal processing system 90 according to a second embodiment of the present invention, including: a signal adjustment device 920 , a signal corresponding device 940 and a decoder 980 .

The signal adjustment device 920 receives the signal, calculates the phase error θ to generate a phase correction value e ^jθ , and obtains a weight f(θ) according to a function f(x). For example, the weight f(θ) is inversely proportional to the phase error θ , the function f(x) is, for example, f(x)=k1/(k2+ ^xi ), wherein k1 and k2 are real numbers, i is a positive number, and a weight f(θ) is generated. The signal adjusting device 920 also adjusts the signal according to the phase correction value e ^jθ and the weight f(θ) to generate an adjusted signal. The signal includes an in-phase signal and a quadrature signal, and the phase error includes sampling time offset, carrier frequency offset, phase noise, and sampling clock offset. The signal corresponding means 940 corresponds the adjusted signal to a plurality of soft values. Decoder 980 decodes these soft values back into data output.

FIG. 10 is a detailed functional block diagram of the signal adjustment device and the signal corresponding device of the second embodiment, including: a signal adjustment device 930 and a signal corresponding device 950 . The signal adjusting device 920 and the signal corresponding device 940 shown in FIG. 9 can be implemented by the signal adjusting device 930 and the signal corresponding device 950 shown in FIG. 10 . The signal adjustment device 930 includes: a phase error calculation unit 922 , a weight calculation unit 924 , a phase correction value generation unit 926 and a multiplier 928 . The multiplier 928 includes multiplying units 9282 and 9284 .

The phase error calculation unit 922 calculates the phase error θ according to the pilot signal. The weight calculation unit 924 converts the phase error θ into a weight f(θ) according to a function. The phase correction value generating unit 926 generates a phase correction value e ^jθ according to the phase error. The multiplication unit 9282 multiplies the signal by the phase correction value e ^jθ to adjust the signal. The multiplication unit 9284 multiplies the adjusted signal by the weight f(θ) to further adjust the signal to resolve the phase error still existing in the system, so that the signal processing system 90 can process the signal more correctly. It should be noted that the multiplication units 9282 and 9284 can also be realized by a single multiplication unit, not limited to multiple multiplication units. The signal corresponding device 950 divides the signal into I coordinate values and Q coordinate values, and then generates soft values I ₀ , I ₁ , I ₂ , Q ₀ , Q ₁ and Q ₂ through the inverse mapper 3417 .

FIG. 11 is a flowchart of a signal processing method according to a third embodiment of the present invention. Step 1101, receive a signal, wherein the signal includes a plurality of complex data, and the signal also includes an in-phase signal and a quadrature signal. Step 1103, analyze the signal to obtain a phase error θ of the signal, wherein only a part of the signal can be selected for analysis to obtain the phase error θ of the signal, and the phase error is related to the sampling time offset, carrier frequency offset, phase noise or sampling clock skew. Next, a phase correction value e ^jθ is generated according to the phase error θ, and the signal is corrected by the phase correction value e ^jθ . Step 1105, obtain a weight f(θ) according to the phase error θ and a function f(x). For example, the weight f(θ) is inversely proportional to the phase error θ, and the function is, for example, f(x)=k1/( k2+ ^xi ), where k1 and k2 are real numbers, and i is a positive number. Then adjust the signal with the weight f(θ) or simultaneously with the weight f(θ) and the phase correction value e ^jθ to generate the adjusted signal. Step 1107, generate a plurality of soft values according to the weight f(θ) and the signal, the corrected signal or the adjusted signal. Step 1109, decode the soft values to generate a data.

To sum up, the present invention proposes to solve the phase error existing in the signal receiving system. If the decoder can receive the information about the phase error, the data can be decoded more accurately. Therefore, the present invention proposes a signal processing system and method for adjusting a signal through a phase error of the signal, so that the signal processing system can have better performance.

In summary, although the present invention has been disclosed as above with preferred embodiments, they are not intended to limit the present invention. Any person familiar with this technology may make various equivalent changes or substitutions without departing from the spirit and scope of the present invention, and the protection scope of the present invention shall be defined by the appended claims of the present application.

Claims (20)

1. signal processing system comprises:

One calculation element, in order to receiving a signal, and calculate a phase error of this signal and according to this phase error to produce a weight;

One signal adjustment and corresponding intrument is coupled to this calculation element, in order to receive this signal and to produce a plurality of soft numerical value according to this weight and this signal; And

One decoder is coupled to this signal adjustment and corresponding intrument, in order to these soft numerical value of decoding to produce data.

2. system according to claim 1 is characterized in that, this calculation element comprises:

One phase error computation unit is in order to calculate this phase error according to the part of this signal; And

One weight calculation unit is coupled to this phase error computation unit, in order to according to a function this phase error is converted to this weight.

3. system according to claim 2 is characterized in that, this function is f (x)=k1/ (k2+x ⁱ), wherein k1 and k2 are real numbers, i is a positive number.

4. system according to claim 2, it is characterized in that, this calculation element also comprises a phasing numerical value generation unit, in order to produce a phasing numerical value according to this phase error, and this signal adjustment and corresponding intrument are also with this this signal of phasing data calibration, and should proofread and correct the back conversion of signals according to this weight again was these soft numerical value.

5. system according to claim 1 is characterized in that, this weight is to be inversely proportional to this phase error.

6. system according to claim 1 is characterized in that, this phase error is to be relevant to skew sample time, carrier frequency shift, phase noise or the skew of sampling clock pulse.

7. system according to claim 4 is characterized in that, this signal adjustment and corresponding intrument comprise:

A plurality of reflection function corresponding units corresponded to a plurality of functional values in order to should proofread and correct the back signal;

A plurality of multiplication units are coupled to these reflection function corresponding units, in order to these functional values be multiply by this weight to produce a plurality of adjusted values; And

A plurality of quantifying unit are coupled to these multiplication units, in order to these adjusted values are quantified as these soft numerical value.

8. system according to claim 4 is characterized in that, this signal adjustment and corresponding intrument comprise:

A plurality of reflection function corresponding units corresponded to a plurality of functional values in order to should proofread and correct the back signal;

A plurality of quantifying unit are coupled to these reflection function corresponding units, in order to these functional values are quantified as a plurality of intermediate values;

A plurality of multiplication units are coupled to these quantifying unit, in order to these intermediate values be multiply by this weight to export a plurality of adjusted values; And

A plurality of release of an interleaves unit is coupled to these multiplication units, in order to being these soft numerical value with these adjusted value release of an interleaves.

9. system according to claim 4 is characterized in that, this signal adjustment and corresponding intrument comprise:

A plurality of reflection function corresponding units corresponded to a plurality of functional values in order to should proofread and correct the back signal;

A plurality of quantifying unit are coupled to these reflection function corresponding units, in order to these functional values are quantified as a plurality of intermediate values;

A plurality of release of an interleaves unit is coupled to these quantifying unit, in order to being a plurality of release of an interleave numerical value with these intermediate value release of an interleaves; And

A plurality of multiplication units are coupled to these release of an interleave unit, in order to these release of an interleave numerical value be multiply by this weight to produce these soft numerical value.

10. system according to claim 4 is characterized in that, this signal adjustment and corresponding intrument comprise:

At least one multiplication unit, in order to should proofread and correct the back signal times with this weight to export a plurality of adjusted values; And

A plurality of inverse mappers are coupled to these multiplication units, in order to being these soft numerical value with these adjusted value inverse mappings.

11. system according to claim 1 is characterized in that, this signal comprises together phase signals and orthogonal signalling.

12. a signal processing method comprises:

Receive a signal;

Analyze this signal to obtain a phase error of this signal;

Obtain a weight according to this phase error and a function;

Produce a plurality of soft numerical value according to this weight and this signal; And

Decode these soft numerical value to produce data.

13. method according to claim 12 is characterized in that, this signal comprises a plurality of complex datas, and the step of this analysis comprises that a part of choosing these complex datas is in order to obtain this phase error.

14. method according to claim 12 is characterized in that, this function is f (x)=k1/ (k2+x ⁱ), wherein k1 and k2 are real numbers, i is a positive number.

15. method according to claim 12 is characterized in that, this phase error is to be relevant to skew sample time, carrier frequency shift, phase noise or the skew of sampling clock pulse.

16. method according to claim 12 is characterized in that, also comprises:

Produce a phasing numerical value according to this phase error;

With this this signal of phasing data calibration; And

Should proofread and correct the back conversion of signals according to this weight is these soft numerical value.

17. method according to claim 12 is characterized in that, the step that produces a plurality of soft numerical value according to this weight and this signal comprises:

Adjust this signal with this weight and adjust the back signal to produce one; And

Changing this adjustment back signal is a plurality of soft numerical value.

18. method according to claim 12 is characterized in that, the step that produces a plurality of soft numerical value according to this weight and this signal comprises:

According to this phase error computation one phasing numerical value;

Adjust this signal with this weight and this phasing numerical value and adjust the back signal to produce one; And

Changing this adjustment back signal is a plurality of soft numerical value.

19. a signal processing system comprises:

One sig-nal-conditioning unit in order to receiving a signal and to analyze this signal obtaining a phase error of this signal, and produces a weight according to this phase error, and adjusts this signal with this weight and adjust the back signal to produce one;

One signal corresponding intrument is coupled to this sig-nal-conditioning unit, is a plurality of soft numerical value in order to change this adjustment back signal; And

One decoder is coupled to this signal corresponding intrument, in order to these soft numerical value of decoding to produce data.

20. system according to claim 19 is characterized in that, this sig-nal-conditioning unit comprises:

One phase error computation unit is in order to according to this phase error of this calculated signals;

One weight calculation unit is coupled to this phase error computation unit, in order to according to a function this phase error is converted to this weight; And

One multiplier is coupled to this weight calculation unit, in order to this signal times with this weight to produce this adjustment back signal.

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