CN105072588A - Fully-linear multimedia data analog multicast method without error correction protection - Google Patents

Abstract

The invention discloses a brand new fully-linear analog multicast method without error correction protection. The method comprises the following steps: performing de-correlation transformation, L shape-based partition and data stretching, whitening transformation and group of pictures (GoP) based interleaving on multimedia data at a transmitting end, and transmitting the multimedia data through a linear modulation wireless communication channel without error correction protection; and performing de-interleaving, anti-whitening, stretching factor estimation based on received data, fitting-based correction factor model correction, reverse drawing and reverse de-correlation transformation on the received data at a receiving end. The method can have the advantages that (1) the fairness is excellent; (2) the 'cliff effect' in metadata transmission does not exist, and better robustness and a longer transmission distance are achieved; (3) digital sideways are avoided, and the computation complexity and memory overhead are lowered; (4) metadata transmission is not required, and the bandwidth occupation is reduced; and (5) better image quality is achieved in a circuit with a high packet loss rate.

Description

The multi-medium data method of multicasting that full linear is protected without error correction

Technical field

The present invention relates to wireless multicast technology field, particularly relate to the multi-medium data method of multicasting that a kind of full linear is protected without error correction.

Background technology

Wireless multicast is the video broadcast service being applied to different channels situation.There is short-board effect in existing wireless multicast system, namely the video that receives of the quality of all recipient's receiver, videos or picture and the poorest recipient of channel or picture is identical in quality.This short-board effect makes existing wireless multicast system cannot accomplish all recipients " justice ".Simultaneously because existing multi-cast system adopts the picture compression method waiting for transmission of de-redundancy, cause in wireless transmission process, conventional wireless multi-cast system can not put up with the generation of packet drop, and this makes conventional wireless multi-cast system when channel variation is violent, shows very poor robustness.

Same in satellite remote sensing picture field, because the bandwidth of given picture transfer is narrower, so need to compress (using JPEG or JPEG2000) picture with higher compression ratio, high compression rate can cause picture to produce distortion, namely the Y-PSNR of picture declines, owing to introducing loss in message sink coding process.So when transmission not packet loss, even if channel situation improves, transmission quality also can not improve, so waste the improvement that channel optimization brings.

Simultaneously for existing network system, because user is for the raising of the demand of network service, can make network that the crowded generation causing packet loss phenomenon occurs.In traditional images transmission means, first data source is carried out nonlinear data compression and data source larger for volume is compressed, then the channel encoder coding by having forward error correction transmits, once there is loss of data and packet loss phenomenon, can make picture quality that larger decline occurs, cause image to see or unavailable, so in high packet loss system, how the robustness of safeguards system becomes the key affecting Consumer's Experience and also becomes the problem that first system designer need to consider.

Existing research, mainly round Problems existing in practical application request, proposes some solutions or innovatory algorithm.These technology mainly employ the method for removing entropy code at information source place, break compressing due to information source the transmission error transitivity caused in conventional wireless picture transmission method.Data source can be made like this can to tolerate certain loss of data and error code, the system that greatly improves at high packet loss and poor channel environments as low signal-to-noise ratio environment, the stability of a system in strong multi-path environment.These technology use simulation (linearly) modulation and digital (non-linear) to modulate at channel place and the communication technology, transmission rate is significantly improved.Video in a kind of wireless video multi-cast system of the prior art or the transmission means of image data are: Softcast (soft transmission plan); Softcast uses uniform enconding mode, and (2D-DCT converts at information source place; energy distribution; Hadamard transform) form data and metadata; use analog modulation communication system (part such as removing protection error correction and intertexture etc.) to transmit data at channel place; in the communications system transmission metadata that wing uses QAM (QuadratureAmplitudeModulation, quadrature amplitude modulation) to modulate.

But the shortcoming of above-mentioned Softcast scheme of the prior art is:

There is a railway digital wing in 1.Softcast scheme, there will be cliff effect down to a certain extent in bad channel quality, occurs that picture quality declines suddenly.

2. there is digital wing and simulation main road in channel, and digital wing computing cost is larger.

3. metadata transmission takies certain bandwidth.

4., under the channel circumstance of high packet loss, picture quality has much room for improvement.

Summary of the invention

The embodiment provides the multi-medium data method of multicasting that a kind of full linear is protected without error correction, to realize full linear transmission effectively without the multi-medium data of error correction protection.

To achieve these goals, this invention takes following technical scheme.

The multi-medium data method of multicasting that full linear is protected without error correction, comprising:

At transmitting terminal, decorrelation conversion is carried out to multi-medium data:

The data that data after decorrelation conversion carry out dividing based on block are stretched;

Whitening transformation process is carried out to the data block after data stretch, intra-frame interleaving process is carried out to the data after whitening transformation process, by the data block composition packet after intra-frame interleaving process;

After analog-modulated is carried out to described packet, launch.

Preferably, described at transmitting terminal, decorrelation conversion is carried out to multi-medium data, comprising:

Each frame of multi-medium data waiting for transmission is independently separated, then each two field picture is isolated into the bulk X of MN × MN, to the bulk X translation 2 of each two field picture ^b-1, wherein b is the image sampling degree of depth, carries out whole frame decorrelation conversion to the bulk X after translation:

y＝Tr(x-2 ^b-1)

Y be for decorrelation conversion after bulk, Tr be decorrelation conversion, x is the picture element matrix of bulk.

Preferably, described stretches to the data that the data after decorrelation conversion carry out dividing based on block, comprising:

At transmitting terminal, the data that multi-medium data after decorrelation conversion carries out dividing based on the block of L shape are stretched, according to the block dividing mode of setting bulk is divided into the fritter of L shape, the length of each L block and wide be definite value, the average energy λ of each fritter _i

${\mathrm{\λ}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\Σ}}{y_{i,k}}^2$

Wherein λ _ibe the average energy of each fritter, i represents the sequence of fritter, and chunknum is block number and N, y _i,ka kth data of i-th fritter in bulk Y;

Stretching factor g is calculated by the average energy of each fritter _i:

$g_i=P.{\mathrm{\λ}}_i^{-1/4}$

Wherein g _ibe the stretching factor of each fritter, P is energy stretching factor, and i represents the sequence of fritter, then the data in each fritter are multiplied by respective stretching factor, obtains the data block u after stretching _i,j:

u _i,j＝g _i.y _i,j

Preferably, described carries out whitening transformation process to the data block after data stretch, and carries out intra-frame interleaving process to the data after whitening transformation process, by the data block composition packet after intra-frame interleaving process, comprising:

At transmitting terminal, carry out whitening transformation process to the data block u after stretching, if H is whitening matrix, whitening transformation is as follows:

v＝H.u.H ^T

Wherein v is through the data after whitening transformation process;

Intra-frame interleaving is carried out to the data after whitening transformation process, data in V are classified according to respective position, data in frame are divided into according to position: A pixel, B pixel, C pixel and D pixel four kinds of pixels, each pixel is carried out random rearrangement, the various pixel reorganizations after random rearrangement are become data block;

For each frame of described multi-medium data, perform described decorrelation conversion, data stretching, whitening transformation process and intra-frame interleaving process respectively, the data block after intra-frame interleaving process that completes of all frames is formed GoP, then GoP layer is packaged into a packet.

Preferably, described is divided into the data in frame according to position: A pixel, B pixel, C pixel and D pixel four kinds of pixels, comprising:

The pixel of the first row first position of the bulk after whitening transformation process is defined as A pixel, and next pixel is B pixel, more next pixel is C pixel, more next pixel is D pixel, completes the pixel definition of a line by that analogy;

Start with D pixel in the second row first pixel, next pixel is A pixel, more next pixel is B pixel, more next pixel is C pixel, completes the pixel definition of two row by that analogy;

Start with C pixel in the third line first pixel, next pixel is D pixel, more next pixel is A pixel, more next pixel is B pixel, completes the pixel definition of three row by that analogy;

Start with B pixel in fourth line first pixel, next pixel is C pixel, more next pixel is D pixel, more next pixel is A pixel, completes the pixel definition of four lines by that analogy;

After, the dividing condition of the location of pixels of the data in the frame of every four lines and described the first row, the second row, the third line are identical with the dividing condition of the location of pixels of fourth line.

Preferably, described analog-modulated is carried out to described packet after, launch, comprising:

Data in described packet are become Frame by physical layer encodes, and carries out analog-modulated to described Frame, the real number of in described Frame is mapped to I vector, and another real number is mapped to Q vector, is launched by the Frame after analog-modulated.

Preferably, described method also comprises:

At receiving terminal, by the entire packet composition GoP received, then GoP is resolved into data block corresponding to I Frame;

The data block that each Frame is corresponding comprises the pixel of the various kinds after rearrangement, according to the pixel reordering rule preset, pixel after various kind being upset is recovered, then resets on respective position, obtains the data after whitening transformation corresponding to each Frame;

Data after the whitening transformation corresponding to described each Frame go whitening transformation process, carry out drawing coefficient estimation to the data of going after whitening transformation process;

According to the drawing coefficient estimated to described go whitening transformation process after data go data stretch processing, anti-decorrelation conversion is carried out to the data of going after data stretch processing, obtain described transmitting terminal send multi-medium data.

Preferably, the data after the described whitening transformation corresponding to described each Frame go whitening transformation process, carry out drawing coefficient estimation comprise the data after going whitening transformation process:

At receiving terminal, after whitening transformation process is gone to multi-medium data, carry out drawing coefficient g _iestimation, calculates the average energy received in data L-type fritter:

${\widehat{\mathrm{\μ}}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\Σ}}{{\hat{u}}_{i,k}}^2$

Wherein be the average energy receiving data L-type fritter, i is fritter sequence number; be the data received, i is fritter sequence number, and k is a kth data in fritter, and chunknum is the first prime number in fritter;

Because ${\hat{u}}^2={\hat{g}}^2{\hat{y}}^2=P^2.{\widehat{\mathrm{\λ}}}^{-1/2}.{\hat{y}}^2,$ So have:

${\widehat{\mathrm{\λ}}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\Σ}}{{\hat{y}}_{i,k}}^2$

Wherein be the average energy of small block data after reverse-drawing, i is fritter sequence, be the data after reverse-drawing, k is a kth data in fritter, and chunknum is the first prime number in fritter, obtains following relation:

${\widehat{\mathrm{\μ}}}_i=P^2.{{\widehat{\mathrm{\λ}}}_i}^{1/2}$

Drawing coefficient estimation formulas as follows:

${\hat{g}}_i=P^2\·{{\widehat{\mathrm{\μ}}}_i}^{-1/2}$

Wherein be drawing coefficient, i is fritter sequence.

Preferably, the described drawing coefficient according to estimating to described go whitening transformation process after data go data stretch processing, comprising:

At receiving terminal, multi-medium data is carried out at drawing coefficient g _iafter estimation, carry out data convergence factor mean _lcalculate, calculate the average amplitude of each fritter

${\widehat{\mathrm{\δ}}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\Σ}}ABS\left({\hat{u}}_{i,k}\right)$

Described data gathering Coefficient m ean _laverage amplitude for front 1 ~ M fritter removes the average amplitude of former M+1 ~ 2M fritter, data gathering Coefficient m ean _lcomputing formula as follows:

${\mathrm{mean}}_L=\frac{{\mathrm{\Σ}}_{k=1}^M{\widehat{\mathrm{\δ}}}_k}{{\mathrm{\Σ}}_{k=M+1}^{2M}{\widehat{\mathrm{\δ}}}_k}$

Channel SNR and computing system packet loss PLR is estimated in physical layer aspect, by channel SNR, packet loss PLR and data gathering Coefficient m ean _lcalculate modifying factor with for revising the calculating error that noise causes, for revising the calculating error that packet loss causes;

Following formula calculates modifying factor with correction model:

${\widehat{\mathrm{\α}}}_i\left\{\begin{array}{c}=\frac{C4}{{\mathrm{mean}}_L}.e^{\left(\frac{-(C5.snr+C6)}{{\mathrm{mean}}_L}\right)}.i^{\left(\frac{(C7.snr+C8)}{{\mathrm{mean}}_L}\right)}+1\\ i=1,2,...,NUM\\ =\frac{C4}{{\mathrm{mean}}_L}.e^{\left(\frac{-(C5.snr+C6)}{{\mathrm{mean}}_L}\right)}.N^{\left(\frac{(C7.snr+C8)}{{\mathrm{mean}}_L}\right)}+1\\ i=NUM+1,...,MCHUNK\end{array}\right.$

${\widehat{\mathrm{\β}}}_i\left\{\begin{array}{c}(1-C{1.2}^{(1-PLR)}.PLR),i=1\\ (1-C{2.2}^{(1-PLR)}.PLR),i=2,3\\ (1-C{3.2}^{(1-PLR)}.PLR),i>3\end{array}\right.$

Wherein the misjudgment that the noise repair factor mainly repairs the stretching factor caused by noise, it is the misjudgment that the packet loss recovery factor mainly repairs the stretching factor caused by packet loss.I is fritter sequence number, and MCHUNK is fritter number, round (MCHUNK) <NUM<MCHUNK.Wherein C1, C2, C3, C4, C5, C6, C7, C8, C9, parameter is obtained by great many of experiments.

Obtain modifying factor with afterwards, carry out reverse-drawing in conjunction with stretching factor, formula is as follows:

${\hat{y}}_{i,j}=P^2\&CenterDot;{\widehat{\mathrm{\&mu;}}}_i^{-1/2}.{\widehat{\mathrm{\&alpha;}}}_i.{\widehat{\mathrm{\&beta;}}}_i.{\hat{u}}_{i,j}$

Wherein be the data after the decorrelation change of estimation, i is fritter sequence, and j is the jth data in fritter; be the data after albefaction, i is fritter sequence, and j is the jth data in fritter; P is that energy parameter receiver this locality is known.

Preferably, described carries out anti-decorrelation conversion to the data of going after data stretch processing, obtains the multi-medium data that described transmitting terminal sends, comprising:

At receiving terminal, anti-decorrelation conversion is carried out to the whole frame of data matrix Y after data reverse-drawing, then the data matrix after anti-decorrelation conversion is carried out the anti-translation of the b degree of depth, obtain chunk data formula is as follows:

$\hat{x}=ITr\left(\hat{y}\right)+2^{b-1}$

Wherein x is estimation picture element matrix.

Repeat above-mentioned processing procedure, by the bulk picture element matrix X of I M × M obtained, all bulk picture element matrix X are spliced, obtain the multi-medium data of transmitting terminal transmission.

The technical scheme provided as can be seen from the embodiment of the invention described above, the embodiment of the present invention proposes the transmission method that a kind of full linear transmits the multi-medium datas such as the video/picture protected without error correction, obtains following advantage: the fairness that (1) is superior.(2) there is not " steep cliff " effect in metadata transmission, has better robustness and transmission range.(3) do not have digital wing, computation complexity and memory cost reduce.(4) without the need to metadata transmission, bandwidth occupancy is reduced.(5) in the circuit of high packet loss, better picture quality is obtained.

The aspect that the present invention adds and advantage will part provide in the following description, and these will become obvious from the following description, or be recognized by practice of the present invention.

Accompanying drawing explanation

In order to be illustrated more clearly in the technical scheme of the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 be the embodiment of the present invention brand-new full linear is carried out without the handling process schematic diagram of coded excitation part in the method for error correction protection transmission to multi-medium data;

Fig. 2 be the embodiment of the present invention brand-new full linear is carried out without the handling process schematic diagram of receipt decoding part in the method for error correction protection transmission to multi-medium data;

Fig. 3 is the system block diagram of the embodiment of the present invention;

Fig. 4 is the analog-modulated schematic diagram of the embodiment of the present invention;

Fig. 5 is the GoP weaving diagram of the embodiment of the present invention;

Fig. 6 is the schematic diagram based on L shape piecemeal of the embodiment of the present invention;

Fig. 7 is the hardware system structure schematic diagram of the coded excitation part of the embodiment of the present invention;

Fig. 8 is the hardware system structure schematic diagram of the receipt decoding part of the embodiment of the present invention;

Fig. 9 is the software flow pattern of the coded excitation part of the embodiment of the present invention;

Figure 10 is the software flow pattern of the receipt decoding part of the embodiment of the present invention;

Figure 11 is the software radio architectural configurations figure of the embodiment of the present invention;

Figure 12 is the ASIC realization flow figure of the AnalogCast baseband system of the embodiment of the present invention.

Embodiment

Be described below in detail embodiments of the present invention, the example of described execution mode is shown in the drawings, and wherein same or similar label represents same or similar element or has element that is identical or similar functions from start to finish.Being exemplary below by the execution mode be described with reference to the drawings, only for explaining the present invention, and can not limitation of the present invention being interpreted as.

Those skilled in the art of the present technique are appreciated that unless expressly stated, and singulative used herein " ", " one ", " described " and " being somebody's turn to do " also can comprise plural form.Should be further understood that, the wording used in specification of the present invention " comprises " and refers to there is described feature, integer, step, operation, element and/or assembly, but does not get rid of and exist or add other features one or more, integer, step, operation, element, assembly and/or their group.Should be appreciated that, when we claim element to be " connected " or " coupling " to another element time, it can be directly connected or coupled to other elements, or also can there is intermediary element.In addition, " connection " used herein or " coupling " can comprise wireless connections or couple.Wording "and/or" used herein comprises one or more arbitrary unit listing item be associated and all combinations.

Those skilled in the art of the present technique are appreciated that unless otherwise defined, and all terms used herein (comprising technical term and scientific terminology) have the meaning identical with the general understanding of the those of ordinary skill in field belonging to the present invention.Should also be understood that those terms defined in such as general dictionary should be understood to have the meaning consistent with the meaning in the context of prior art, unless and define as here, can not explain by idealized or too formal implication.

For ease of the understanding to the embodiment of the present invention, be further explained explanation below in conjunction with accompanying drawing for several specific embodiment, and each embodiment does not form the restriction to the embodiment of the present invention.

Embodiment one

The handling process that this embodiment offers the multi-medium data method of multicasting that a kind of full linear is protected without error correction as shown in Figure 1, comprises following treatment step:

Step 1, each frame of multi-medium data waiting for transmission independently to be separated, then each two field picture is isolated into the bulk X of MN × MN.

Step 2, bulk X translation 2 to each two field picture ^b-1, wherein b is the image sampling degree of depth, and the bulk then after translation carries out whole frame decorrelation conversion:

y＝Tr(x-2 ^b-1)

Y be for decorrelation conversion after bulk, Tr be decorrelation conversion, x is the picture element matrix of bulk.

Large for image energy (or being called information) can concentrate on comparatively in zonule by above-mentioned decorrelation conversion, and decorrelation conversion can use Karhunen-Loeve transformation, dct transform, and DST converts, DWT conversion etc.

Step 3, in order to obtain best error protection capability, data stretching must be carried out.Bulk Y after conversion is carried out dividing based on the block of L shape stretching with data.Bulk is divided into the fritter of N number of L shape, as shown in Figure 6.The length of each L shape is identical with wide length, and fritter dividing mode is arranged in receiving terminal this locality in advance.

Next step 4, determine after fritter divides, calculate the average energy λ of each fritter _i

${\mathrm{\&lambda;}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\&Sigma;}}{y_{i,k}}^2$

Wherein λ _ibe the average energy of each fritter, i represents the sequence of fritter, and chunknum is block number and N, y _i,ki-th fritter in bulk Y, a kth data.

Concentrate the profile information of image in low frequency part, concentrated the detailed information of image at HFS, make image have the ability of certain protection mistake.

Step 5, determine the energy parameter P (receiver this locality is known) of each fritter, calculate stretching factor g _iparameter:

$g_i=P.{\mathrm{\&lambda;}}_i^{-1/4}$

Wherein g _ibe the stretching factor of each fritter, i represents the sequence of fritter.Again the data in each fritter are multiplied by respective stretching factor, obtain the data u after stretching _i,j:

u _i,j＝g _i.y _i,j

Data stretch and can improve the anti-noise ability of system.

Step 6, at transmitting terminal, after data stretching is carried out to multi-medium data, carry out anti-dropout process.First be to make the importance of block internal information identical, this will carry out whitening processing to data block, as anti-decorrelation converts, and Wo Shi-Hadamard transform etc.If H is whitening matrix, whitening transformation is as follows:

v＝H.u.H ^T

Wherein V is through the data after whitening transformation, and this makes the anti-packet loss ability of system strengthen.

Step 7, after whitening transformation, the position correlation of data still has certain reservation, next carries out intra-frame interleaving to the data after whitening processing, classifies according to respective position for the data in V.Data in frame are divided into according to position: A pixel, B pixel, C pixel, D pixel.As shown in accompanying drawing 5 (a),

The pixel of the first row first position of the bulk after whitening transformation process is defined as A pixel, and next pixel is B pixel, more next pixel is C pixel, more next pixel is D pixel, completes the pixel definition of a line by that analogy.

Start with D pixel in the second row first pixel, next pixel is A pixel, more next pixel is B pixel, more next pixel is C pixel, completes the pixel definition of two row by that analogy.

Start with C pixel in the third line first pixel, next pixel is D pixel, more next pixel is A pixel, more next pixel is B pixel, completes the pixel definition of three row by that analogy.

Start with B pixel in fourth line first pixel, next pixel is C pixel, more next pixel is D pixel, more next pixel is A pixel, completes the pixel definition of four lines by that analogy.

After, the dividing condition of the location of pixels of the data in the frame of every four lines and above-mentioned the first row, the second row, the third line are identical with the dividing condition of the location of pixels of fourth line.Namely the dividing condition of the location of pixels of the 5th row is identical with the first row, and the dividing condition of the location of pixels of the 6th row is identical with the second row, and the dividing condition of the location of pixels of the 7th row is identical with the third line, and the dividing condition of the location of pixels of eighth row is identical with fourth line.The rest may be inferred .....

Again each pixel is carried out random rearrangement as shown in accompanying drawing 5 (b), random rearrangement mode receiver this locality is known.The position correlation of data is eliminated.The various pixels of having reset are reassembled into long data block according to accompanying drawing 5 (c), completes intra-frame interleaving.

Step 8, repetition 2 ~ 7 step I time, for each frame of described multi-medium data, perform described decorrelation conversion, data stretching, whitening transformation process and intra-frame interleaving process respectively.

Sometimes packet loss can occur suddenly, i.e. Burst loss.Within a period of time, packet loss can become very high, in order to the packet loss smoothly happened suddenly, the method that the present invention adopts interframe to interweave is resisted, the data block after intra-frame interleaving process that completes of all frames is formed GoP (picture group), be about to the chunk data of number frame intra-frame interleaving, rearrange three-dimensional matrice and see accompanying drawing 5 (d).

Then, GoP layer is packaged into a packet.As shown in accompanying drawing 5 (d).

Step 9, at transmitting terminal, after data packing is carried out to multi-medium data, by physical layer encodes, Frame is become to packet, and analog-modulated is carried out to Frame.I and Q is mapped to respectively by the real number of two in Frame as Suo Shi accompanying drawing 4 (a), the feature of this mapping is when transmitter is close with receiver, launch complex vector located and the complex vector located spacing very near (as accompanying drawing 4 (b)) received, the complex vector located spacing far (as accompanying drawing 4 (c)) of the complex vector located and reception of launching when transmitter and receiver are apart from each other.Only I DUAL PROBLEMS OF VECTOR MAPPING need be become a real number during this analog demodulator, Q DUAL PROBLEMS OF VECTOR MAPPING is become another one real number.Compared to QPSK/QAM modulation, encoding and decoding is comparatively simple, saves computational resource compared to digital modulation.

Step 10, the Frame received is carried out decoding be remapped to packet.

Step 11, receive whole packets, by the packet composition GoP received, then GoP is resolved into data block corresponding to I Frame.

Step 12, the data block that each Frame is corresponding comprise the pixel of the various kinds after rearrangement, according to the pixel reordering rule preset, pixel after various kind being upset is recovered, then resets on respective position, obtains the data v after whitening transformation corresponding to each Frame.

Step 13, for the data after the whitening transformation received we have:

$\hat{v}=H.u.H^T+n$

Carry out demodulation obtain the solution albefaction of each small data block after data

$\hat{u}=H^{-1}.\hat{v}.{\left(H^T\right)}^{-1}$

Data be subject to the impact of interchannel noise.

Step 14, at receiving terminal, multi-medium data to be carried out after going albefaction, carry out drawing coefficient g _iestimation.First the average energy μ received in data L-type small data block is calculated _i, computing formula is as follows:

${\widehat{\mathrm{\&mu;}}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\&Sigma;}}{{\hat{u}}_{i,k}}^2$

Wherein be the average energy receiving data L-type fritter, i is fritter sequence number; be the data received, i is fritter sequence number, and k is a kth data in fritter.Chunknum is the first prime number in fritter.

Step 15, because ${\hat{u}}^2={\hat{g}}^2{\hat{y}}^2=P^2.{\widehat{\mathrm{\&lambda;}}}^{-1/2}.{\hat{y}}^2,$ We have simultaneously:

${\widehat{\mathrm{\&lambda;}}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\&Sigma;}}{{\hat{y}}_{i,k}}^2$

Wherein be the average energy of small block data after reverse-drawing, i is fritter sequence. be the data after reverse-drawing, i is fritter sequence, and k is a kth data in fritter, and chunknum is the first prime number in fritter.Then, we can obtain following relation:

${\widehat{\mathrm{\&mu;}}}_i=P^2.{{\widehat{\mathrm{\&lambda;}}}_i}^{1/2}$

We can obtain drawing coefficient estimation thus:

${\hat{g}}_i=P^2.{{\widehat{\mathrm{\&mu;}}}_i}^{-1/2}$

Wherein be drawing coefficient, i is fritter sequence.

Step 16, by channel physical layer estimate receive channel SNR (SignalNoiseRatio, signal to noise ratio).

Step 17, at receiving terminal, drawing coefficient g is carried out to multi-medium data _iafter estimation, carry out data convergence factor mean _lcalculate.First the average amplitude of each fritter is calculated

${\widehat{\mathrm{\&delta;}}}_i=\frac{1}{chunknum}\underset{k=1}{\overset{chunknum}{\&Sigma;}}ABS\left({\hat{u}}_{i,k}\right)$

Wherein i is the sequence number of fritter, and chunknum is the data amount check of this fritter.

Step 18, then, the present invention defines data gathering Coefficient m ean _laverage amplitude for front 1 ~ M fritter removes the average amplitude of former M+1 ~ 2M fritter.Namely shown in following formula.Data gathering Coefficient m ean _llarger expression decorrelation converts energy accumulating degree is higher, and the anti-noise ability of this bulk is better.

Pass through average amplitude calculated data convergence factor mean _l, the average amplitude of front 1 ~ M fritter removes the average amplitude of former M+1 ~ 2M fritter:

${\mathrm{mean}}_L=\frac{{\mathrm{\&Sigma;}}_{k=1}^M{\widehat{\mathrm{\&delta;}}}_k}{{\mathrm{\&Sigma;}}_{k=M+1}^{2M}{\widehat{\mathrm{\&delta;}}}_k}$

Mean _lthe compressed capability of data larger expression decorrelation conversion is stronger.

Step 19, physical layer aspect estimate channel SNR (SignalNoiseRatio, signal to noise ratio) with computing system PLR (PacketLossRa-tio, packet loss), wherein 0<PLR<1.

Step 20, at receiving terminal, multi-medium data to be carried out at data gathering Coefficient m ean _lafter calculating, carry out the estimation of modifying factor.Channel SNR and computing system packet loss PLR is estimated in physical layer aspect.By channel SNR, packet loss PLR and data gathering Coefficient m ean _lcalculate modifying factor.Because be subject to interchannel noise impact, the average energy of bulk is estimated can be bigger than normal, causes stretching factor to be estimated less than normal.Simultaneously due to packet loss impact, portion of energy can be caused to lose, cause the average energy estimation of bulk can be less than normal, cause stretching factor estimation bigger than normal.

The embodiment of the present invention is introduced modifying factor and is revised the calculating error that noise and packet loss cause. for revising the calculating error that noise causes. for revising the calculating error that packet loss causes.Selection can be had: correction is not used for the system that only there is low noise and low packet loss for different system estimations; The system that only there is strong noise is only used revise; The system that only there is high packet loss is only used revise; Use two kinds to revise for the system that there is strong noise and high packet loss simultaneously simultaneously.

Modifying factor is calculated by the correction model based on matching with wherein C1, C2, C3, C4, C5, C6, C7, C8, C9, parameter is obtained by great many of experiments.

${\widehat{\mathrm{\&alpha;}}}_i\left\{\begin{array}{c}=\frac{C4}{{\mathrm{mean}}_L}.e^{\left(\frac{-(C5.snr+C6)}{{\mathrm{mean}}_L}\right)}.i^{\left(\frac{(C7.snr+C8)}{{\mathrm{mean}}_L}\right)}+1\\ i=1,2,...,NUM\\ =\frac{C4}{{\mathrm{mean}}_L}.e^{\left(\frac{-(C5.snr+C6)}{{\mathrm{mean}}_L}\right)}.N^{\left(\frac{(C7.snr+C8)}{{\mathrm{mean}}_L}\right)}+1\\ i=NUM+1,...,MCHUNK\end{array}\right.$

${\widehat{\mathrm{\&beta;}}}_i\left\{\begin{array}{c}(1-C{1.2}^{(1-PLR)}.PLR),i=1\\ (1-C{2.2}^{(1-PLR)}.PLR),i=2,3\\ (1-C{3.2}^{(1-PLR)}.PLR),i>3\end{array}\right.$

Wherein be the noise repair factor, mainly repair the misjudgment of the stretching factor caused by noise, be the packet loss recovery factor, mainly repair the misjudgment of the stretching factor caused by packet loss.I is fritter sequence number, and MCHUNK is fritter number, round (MCHUNK) <NUM<MCHUNK.

After step 21, acquisition modifying factor, carry out data reverse-drawing in conjunction with stretching factor, formula is as follows:

${\hat{y}}_{i,j}=P^2\&CenterDot;{\widehat{\mathrm{\&mu;}}}_i^{-1/2}.{\widehat{\mathrm{\&alpha;}}}_i.{\widehat{\mathrm{\&beta;}}}_i.{\hat{u}}_{i,j}$

Wherein be the data matrix after the data reverse-drawing of estimation, i is fritter sequence, and j is the jth data in fritter; be the data after albefaction, i is fritter sequence, and j is the jth data in fritter; P is that energy parameter receiver this locality is known.

Step 22, anti-decorrelation conversion is carried out to the whole frame of data matrix Y after data reverse-drawing, then the data matrix after anti-decorrelation conversion is carried out the anti-translation of the b degree of depth, obtain chunk data formula is as follows:

$\hat{x}=ITr\left(\hat{y}\right)+2^{b-1}$

Wherein be estimation picture element matrix, ITr is decorrelation conversion, it is the data matrix after the data reverse-drawing of estimation.

Step 23, repetition 10 ~ 20.By the bulk picture element matrix X of I M × M obtained, next the bulk picture element matrix X estimated is spliced, just can obtain the image reduced, obtain the multi-medium data of transmitting terminal transmission.

Embodiment two

FPGA (Field-ProgrammableGateArray, field programmable gate array)+DSP (digitalsignalprocessing, Digital Signal Processing) implementation: owing to there are the needs (particularly receipt decoding part) of video real time codec, FPGA+DSP implementation becomes very necessary.The realization of the program is divided into coded excitation and receipt decoding two parts, and system block diagram is shown in accompanying drawing 8, realizes respectively on two pieces of XilinxKC705FPGA development boards.

In this implementation, large block size is, simultaneously MN=1024.Communication system adopts ofdm system to realize, and energy parameter P reference frame structure and specified transmitting power are determined, randomly ordered employing seed is self-defined, decorrelation is transformed to 2D-DCT conversion, fritter number N=1024, M=20 during data gathering calculates, whitening transformation adopts Wo Shi-Hadamard transform, correction model parameter following C1=1, C2=0.9, C3=0.8, C4=10, C5=1.36, C6=31.2, C6=0.115, C7=4.66, MCHUNK=1024, NUM=900.Specific implementation is as follows:

1.1) the hardware system structure schematic diagram of the coded excitation part of the embodiment of the present invention as shown in Figure 7, the hardware components of coded excitation end: by brand-new AnalogCast coded excitation baseband module, microprocessor, Double Data Rate DDR (DynamicRandomAccessMemory, Synchronous Dynamic Random Access Memory), UART (UniversalAsynchronousReceiver/Transmitter, universal asynchronous receiving-transmitting transmitter), IIC (Inter-IntegratedCircuit, integrated circuit (IC) bus), RF transceiving chip forms.Wherein except RF transceiving chip, other module is all integrated in IP mode in FPGA development board, and is mounted to (hardware system figure is shown in accompanying drawing 7) on system bus by AXI interface protocol.Microprocessor is responsible for controlling baseband module and peripheral hardware; The data that brand-new AnalogCast coded excitation baseband module is responsible for AXI bus is imported into carry out signal source and channel; IIC is responsible for the communication and control of FPGA and RF transceiving chip; DDR is responsible for the read-write of data; The data that RF transceiving chip is responsible for brand-new AnalogCast coded excitation Base-Band Processing obtains are carried out medium-high frequency process and pass through antenna transmission; UART is responsible for holding with PC communicating.

Brand-new AnalogCast coded excitation baseband module: be divided into three parts:

Brand-new AnalogCast message sink coding end: major function is the message sink coding of brand-new AnalogCast.Utilize the HLS software carried in XilinxVivadoFPGA design software to write fixed point C code according to coding flow chart (see accompanying drawing 1 message sink coding part), then obtain required verilog code by HLS software synthesis.

Data converter: major function is the interface as brand-new AnalogCast message sink coding end and linear OFDM transmitter.Form input linear OFDM transmitter is sent according to the data of linear OFDM transmitter by the emission matrix exported brand-new AnalogCast message sink coding end.This module uses verilog language compilation to form.

Linear OFDM transmitter: the hardware implementing of linear OFDM chnnel coding.Function comprises: analog-modulated, adds pilot tone, IFFT, and fall PAPR process, windowing, frame is shaping.Verilog coding is used to realize.

RF radio frequency chip: the fmcomms1 chip using ADI, a kind of high-speed transceiver chip, FPGA carries out controlling (configuring radio frequency parameter with communicating to RF transceiving chip by IIC, sample rate, modules clock frequency etc.), brand-new AnalogCast coded excitation base band provides data and the reference clock of radio-frequency transmissions by FMC interface.Fmcomms1 chip provides 400Mhz to 4Ghz radio-frequency region.This module is customizable, is changed by software with the frequency of wide region without the need to any hardware, provides for GPS or IEEE1588 synchronous, and has MIMO config option.

All the other IP: use the IP that Xilinx carries.

1.2) software section passes through burning .elf file in microprocessor, and passes through the work of Microprocessor S3C44B0X baseband module and peripheral hardware, and is controlled in real time by UART-PC.The software flow pattern of the coded excitation part of the embodiment of the present invention is as shown in Figure 9:

Step one: drive RF communication chip rf frequency to be set, sample frequency, each submodule clock by iic bus, and make antenna in running order.

Step 2: by the brand-new AnalogCast baseband module of AXI bus driver, tells that brand-new AnalogCast baseband module is started working.

Step 3: read data from AXI bus DDR, writes brand-new AnalogCast baseband module.

Step 4: repeat step 2 ~ step 3.

Step 5: if UART inputs command for stopping to MicroBlaze, halt system work.

1.3) the hardware system structure schematic diagram of the receipt decoding part of the embodiment of the present invention as shown in Figure 8, the hardware components of receipt decoding end: by brand-new AnalogCast receipt decoding baseband module, microprocessor, Double Data Rate synchronous DRAM (DDR), universal asynchronous receiving-transmitting transmitter (UART), IIC, RF transceiving chip forms, wherein except RF transceiving chip, other module is all integrated in IP mode in FPGA, and is mounted to (hardware system figure is shown in accompanying drawing 8) on system bus by AXI interface protocol.Microprocessor is responsible for controlling baseband module and peripheral hardware work; The data that brand-new AnalogCast receipt decoding baseband module is responsible for RF chip is sent into carry out signal source channel decoding; IIC is responsible for the communication and control of FPGA and RF receiving chip; DDR is responsible for the read-write of data; RF receiving chip receives source signal, and the aerial signal obtained is carried out the process of a series of medium-high frequency such as digital-to-analogue conversion and carrier modulation and send into brand-new AnalogCast receipt decoding baseband module; UART is responsible for holding with PC communicating.

Brand-new AnalogCast receipt decoding baseband module: be divided into three parts:

1. linear OFDM receiver: the hardware implementing of linear OFDM channel-decoding.Function comprises: interblock interference, carrier compensation, sign synchronization, FFT, channel estimating, and excess phase compensates, and sampling compensates, and goes pilot tone, analog-modulated.Verilog coding is used to realize.

2. data converter: major function is the interface as brand-new AnalogCast source coding end and linear OFDM receiver.This interface receives packet from linear OFDM receiver and forms receiving matrix, receiving matrix is sent into brand-new AnalogCast source coding end according to the requirement of brand-new AnalogCast source coding end data form and carries out data processing.This module uses verilog language compilation to form.

3. brand-new AnalogCast source coding end: the implementation method identical with brand-new AnalogCast message sink coding end, utilize the HLS software carried in XilinxVivadoFPGA design software to write fixed point C code according to decoding process figure (see accompanying drawing 2 source coding part), then obtain required verilog code by HLS software synthesis.

RF radio frequency chip: use the chip the same with transmitter.

All the other IP: use the IP that Xilinx carries.

1.4) software section is by passing through the work of Microprocessor S3C44B0X baseband module and peripheral hardware in burning .elf file to microprocessor, and is controlled in real time by UART-PC.The software flow pattern of the receipt decoding part of the embodiment of the present invention as shown in Figure 10, comprising:

Step one: drive RF communication chip rf frequency to be set, sample frequency, each submodule clock by iic bus, and make antenna in running order.

Step 2: by the brand-new AnalogCast baseband module of AXI bus driver, tell that base band is started working.

Step 3: observe brand-new AnalogCast baseband system by the working signal of AXI bus and whether work, if do not worked, then indicates that the data stored in DDR are effective.And again by the brand-new AnalogCast baseband module of AXI bus driver, tell that base band is started working, repeat step 3.

Step 4: if UART has informed termination signal, quit work.

Embodiment three

2): software radio implementation:

In this implementation, large block size is, simultaneously MN=1024.Communication system adopts ofdm system to realize, and energy parameter P reference frame structure and specified transmitting power are determined, randomly ordered employing seed is self-defined, decorrelation is transformed to 2D-DCT conversion, fritter number N=1024, M=20 during data gathering calculates, whitening transformation adopts Wo Shi-Hadamard transform, correction model parameter following C1=1, C2=0.9, C3=0.8, C4=10, C5=1.36, C6=31.2, C6=0.115, C7=4.66, MCHUNK=1024, NUM=900.System block diagram is shown in accompanying drawing 3, and specific implementation is as follows:

Message source and channel encoding and decoding are completed by software Matlab on PC, and high-speed digital video camera and RF launch and accept complete on USRPN210 motherboard.As shown in Figure 11, hardware components: by PC, software radio development board, RF radio frequency chip forms the software radio architectural configurations figure of the embodiment of the present invention.

2.1) PC: by Matlab software architecture brand-new AnalogCast source encoding and decoding end, linear OFDM channel coding/decoding end.

2.2) software radio development board: use a Software Radio platform being called GUNRadio, USRPN210 motherboard, is responsible for high-speed digital video camera (digital-to-analogue/analog-to-digital conversion, Digital up and down convert etc.).

2.3) RF radio frequency chip: RFX2400 chip provides carrier modulation and the demodulation function of 2.4Ghz.

Software section: the base band encoding and decoding of software section mainly message source and channel, mainly on PC, pass through Matlab software programming codes implement, comprise brand-new AnalogCast system coding and decoding, the chnnel coding of coded data, receive the synchronous of data and decoding.Wherein brand-new AnalogCast system coding belongs to coded excitation flow process with the chnnel coding of data, brand-new AnalogCast system decodes and the synchronous of reception data and decode and belong to coded excitation flow process.Coded excitation flow chart is shown in accompanying drawing 1, and receipt decoding flow chart is shown in accompanying drawing 2.

Embodiment four

3): ASIC implementation:

In this implementation, large block size is, simultaneously MN=1024.Communication system adopts ofdm system to realize, and energy parameter P reference frame structure and specified transmitting power are determined, randomly ordered employing seed is self-defined, decorrelation is transformed to 2D-DCT conversion, fritter number N=1024, M=20 during data gathering calculates, whitening transformation adopts Wo Shi-Hadamard transform, correction model parameter following C1=1, C2=0.9, C3=0.8, C4=10, C5=1.36, C6=31.2, C6=0.115, C7=4.66, MCHUNK=1024, NUM=900.System block diagram is shown in accompanying drawing 3, and specific implementation is as follows:

The ASIC realization flow figure of the brand-new AnalogCast baseband system of the embodiment of the present invention as shown in figure 12, ASIC realizes mainly for brand-new AnalogCast receipt decoding baseband module and brand-new AnalogCast coded excitation baseband module, mainly will write and obtain RTL behavioral scaling model and carry out physical modeling, finally obtain the physical model (GDSII) of IP, test model, power consumption model, temporal model.Wherein the structure of RTL model is identical with FPGA+DSP scheme, and brand-new AnalogCast source encoding and decoding part uses HLS comprehensively to produce verilog, the hand-written verilog of remainder.

In sum, the embodiment of the present invention proposes the transmission method that a kind of full linear transmits the multi-medium datas such as the video/picture protected without error correction, in terms of existing technologies, has following advantage:

1) superior fairness.

2) owing to being full linear transmission, metadata can not exist " cliff effect ", has better mobility and farther transmission range.

3) owing to have employed full linear modulation, without the need to transmission unit data, bandwidth is saved.

4) relative to traditional multi-cast system and semilinear system (Softcast; G-cast; HAD-cast; D-cast etc.) eliminate digital wing information; the complexity greatly reducing chnnel coding (eliminates information source compression & decompression; information source protection and error correction, interleave and deinterleave and the calculating such as channel guard and error correction), greatly reduce computation complexity.

5), under the channel circumstance of high packet loss, picture quality is greatly improved.

One of ordinary skill in the art will appreciate that: accompanying drawing is the schematic diagram of an embodiment, the module in accompanying drawing or flow process might not be that enforcement the present invention is necessary.

As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the present invention can add required general hardware platform by software and realizes.Based on such understanding, technical scheme of the present invention can embody with the form of software product the part that prior art contributes in essence in other words, this computer software product can be stored in storage medium, as ROM/RAM, magnetic disc, CD etc., comprising some instructions in order to make a computer equipment (can be personal computer, server, or the network equipment etc.) perform the method described in some part of each embodiment of the present invention or embodiment.

Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually see, what each embodiment stressed is the difference with other embodiments.Especially, for device or system embodiment, because it is substantially similar to embodiment of the method, so describe fairly simple, relevant part illustrates see the part of embodiment of the method.Apparatus and system embodiment described above is only schematic, the wherein said unit illustrated as separating component or can may not be and physically separates, parts as unit display can be or may not be physical location, namely can be positioned at a place, or also can be distributed in multiple network element.Some or all of module wherein can be selected according to the actual needs to realize the object of the present embodiment scheme.Those of ordinary skill in the art, when not paying creative work, are namely appreciated that and implement.

The above; be only the present invention's preferably embodiment, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.

Claims (10)

1. the multi-medium data method of multicasting protected without error correction of full linear, is characterized in that, comprising:

At transmitting terminal, decorrelation conversion is carried out to multi-medium data:

The data that data after decorrelation conversion carry out dividing based on block are stretched;

Whitening transformation process is carried out to the data block after data stretch, intra-frame interleaving process is carried out to the data after whitening transformation process, by the data block composition packet after intra-frame interleaving process;

After analog-modulated is carried out to described packet, launch.

2. the multi-medium data method of multicasting protected without error correction of full linear according to claim 1, is characterized in that, described at transmitting terminal, carries out decorrelation conversion, comprising multi-medium data:

Each frame of multi-medium data waiting for transmission is independently separated, then each two field picture is isolated into the bulk X of MN × MN, to the bulk X translation 2 of each two field picture ^b-1, wherein b is the image sampling degree of depth, carries out whole frame decorrelation conversion to the bulk X after translation:

y＝Tr(x-2 ^b-1)

Y be for decorrelation conversion after bulk, Tr be decorrelation conversion, x is the picture element matrix of bulk.

3. the multi-medium data method of multicasting protected without error correction of full linear according to claim 1, is characterized in that, described stretches to the data that the data after decorrelation conversion carry out dividing based on block, comprising:

At transmitting terminal, the data that multi-medium data after decorrelation conversion carries out dividing based on the block of L shape are stretched, according to the block dividing mode of setting bulk is divided into the fritter of L shape, the length of each L block and wide be definite value, the average energy λ of each fritter _i

Wherein λ _ibe the average energy of each fritter, i represents the sequence of fritter, and chunknum is block number and N, y _i,ka kth data of i-th fritter in bulk Y;

Stretching factor g is calculated by the average energy of each fritter _i:

Wherein g _ibe the stretching factor of each fritter, P is energy stretching factor, and i represents the sequence of fritter, then the data in each fritter are multiplied by respective stretching factor, obtains the data block u after stretching _i,j:

u _i,j＝g _i.y _i,j。

4. the multi-medium data method of multicasting protected without error correction of full linear according to claim 1; it is characterized in that; described carries out whitening transformation process to the data block after data stretch; intra-frame interleaving process is carried out to the data after whitening transformation process; by the data block composition packet after intra-frame interleaving process, comprising:

At transmitting terminal, carry out whitening transformation process to the data block u after stretching, if H is whitening matrix, whitening transformation is as follows:

v＝H.u.H ^T

Wherein v is through the data after whitening transformation process;

Intra-frame interleaving is carried out to the data after whitening transformation process, data in V are classified according to respective position, data in frame are divided into according to position: A pixel, B pixel, C pixel and D pixel four kinds of pixels, each pixel is carried out random rearrangement, the various pixel reorganizations after random rearrangement are become data block;

For each frame of described multi-medium data, perform described decorrelation conversion, data stretching, whitening transformation process and intra-frame interleaving process respectively, the data block after intra-frame interleaving process that completes of all frames is formed GoP, then GoP layer is packaged into a packet.

5. the multi-medium data method of multicasting protected without error correction of full linear according to claim 4, it is characterized in that, described is divided into the data in frame according to position: A pixel, B pixel, C pixel and D pixel four kinds of pixels, comprising:

The pixel of the first row first position of the bulk after whitening transformation process is defined as A pixel, and next pixel is B pixel, more next pixel is C pixel, more next pixel is D pixel, completes the pixel definition of a line by that analogy;

Start with D pixel in the second row first pixel, next pixel is A pixel, more next pixel is B pixel, more next pixel is C pixel, completes the pixel definition of two row by that analogy;

Start with C pixel in the third line first pixel, next pixel is D pixel, more next pixel is A pixel, more next pixel is B pixel, completes the pixel definition of three row by that analogy;

Start with B pixel in fourth line first pixel, next pixel is C pixel, more next pixel is D pixel, more next pixel is A pixel, completes the pixel definition of four lines by that analogy;

After, the dividing condition of the location of pixels of the data in the frame of every four lines and above-mentioned the first row, the second row, the third line are identical with the dividing condition of the location of pixels of fourth line.

6. the multi-medium data method of multicasting protected without error correction of full linear according to claim 4, is characterized in that, described analog-modulated is carried out to described packet after, launch, comprising:

Data in described packet are become Frame by physical layer encodes, and carries out analog-modulated to described Frame, the real number of in described Frame is mapped to I vector, and another real number is mapped to Q vector, is launched by the Frame after analog-modulated.

7. the multi-medium data method of multicasting protected without error correction of full linear according to claim 6, it is characterized in that, described method also comprises:

At receiving terminal, by the entire packet composition GoP received, then GoP is resolved into data block corresponding to I Frame;

The data block that each Frame is corresponding comprises the pixel of the various kinds after rearrangement, according to the pixel reordering rule preset, pixel after various kind being upset is recovered, then resets on respective position, obtains the data after whitening transformation corresponding to each Frame;

Data after the whitening transformation corresponding to described each Frame go whitening transformation process, carry out drawing coefficient estimation to the data of going after whitening transformation process;

According to the drawing coefficient estimated to described go whitening transformation process after data go data stretch processing, anti-decorrelation conversion is carried out to the data of going after data stretch processing, obtain described transmitting terminal send multi-medium data.

8. the multi-medium data method of multicasting protected without error correction of full linear according to claim 7; it is characterized in that; data after the described whitening transformation corresponding to described each Frame go whitening transformation process, carry out drawing coefficient estimation comprise the data after going whitening transformation process:

At receiving terminal, after whitening transformation process is gone to multi-medium data, carry out drawing coefficient g _iestimation, calculates the average energy received in data L-type fritter:

Wherein be the average energy receiving data L-type fritter, i is fritter sequence number; be the data received, i is fritter sequence number, and k is a kth data in fritter, and chunknum is the first prime number in fritter;

Because so have:

Wherein be the average energy of small block data after reverse-drawing, i is fritter sequence, be the data after reverse-drawing, k is a kth data in fritter, and chunknum is the first prime number in fritter, obtains following relation:

Drawing coefficient estimation formulas as follows:

Wherein be drawing coefficient, i is fritter sequence.

9. the multi-medium data method of multicasting protected without error correction of full linear according to claim 8, is characterized in that, described according to the drawing coefficient estimated to described go whitening transformation process after data go data stretch processing, comprising:

At receiving terminal, multi-medium data is carried out at drawing coefficient g _iafter estimation, carry out data convergence factor mean _lcalculate, calculate the average amplitude of each fritter

Described data gathering Coefficient m ean _laverage amplitude for front 1 ~ M fritter removes the average amplitude of former M+1 ~ 2M fritter, data gathering Coefficient m ean _lcomputing formula as follows:

Channel SNR and computing system packet loss PLR is estimated in physical layer aspect, by channel SNR, packet loss PLR and data gathering Coefficient m ean _lcalculate modifying factor with for revising the calculating error that noise causes, for revising the calculating error that packet loss causes;

Following formula calculates modifying factor with correction model:

Wherein the misjudgment that the noise repair factor mainly repairs the stretching factor caused by noise, it is the misjudgment that the packet loss recovery factor mainly repairs the stretching factor caused by packet loss.I is fritter sequence number, and MCHUNK is fritter number, round (MCHUNK) <NUM<MCHUNK.Wherein

C1, C2, C3, C4, C5, C6, C7, C8, C9, parameter is obtained by great many of experiments.

Obtain modifying factor with afterwards, carry out reverse-drawing in conjunction with stretching factor, formula is as follows:

Wherein be the data after the decorrelation change of estimation, i is fritter sequence, and j is the jth data in fritter; be the data after albefaction, i is fritter sequence, and j is the jth data in fritter; P is that energy parameter receiver this locality is known.

10. the multi-medium data method of multicasting protected without error correction of full linear according to claim 9, it is characterized in that, described carries out anti-decorrelation conversion to the data of going after data stretch processing, obtains the multi-medium data that described transmitting terminal sends, comprising:

At receiving terminal, anti-decorrelation conversion is carried out to the whole frame of data matrix Y after data reverse-drawing, then the data matrix after anti-decorrelation conversion is carried out the anti-translation of the b degree of depth, obtain chunk data formula is as follows:

Wherein x is estimation picture element matrix;

Repeat above-mentioned processing procedure, by the bulk picture element matrix X of I M × M obtained, all bulk picture element matrix X are spliced, obtain the multi-medium data of transmitting terminal transmission.