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

A multimedia data and data technology, applied in wireless communication, broadcast service distribution, network traffic/resource management, etc., can solve the problems of metadata transmission occupying bandwidth, cliff effect, and high computational overhead of digital sidewalks.

Active Publication Date: 2015-11-18
PEKING UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] 1. There is a digital side channel in the Softcast solution. When the channel quality is poor to a certain extent, there will be a cliff effect, and the image quality will suddenly drop.
[0008] 2. There are digital side channels and analog main channels in the channel, and the calculation overhead of digital side channels is relatively large
[0009] 3. Metadata transmission occupies a certain amount of bandwidth
[0010] 4. In the channel environment with high packet loss, the image quality needs to be improved

Method used

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  • Fully-linear multimedia data analog multicast method without error correction protection
  • Fully-linear multimedia data analog multicast method without error correction protection
  • Fully-linear multimedia data analog multicast method without error correction protection

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Experimental program
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Embodiment 1

[0098] This embodiment provides a processing flow of a fully linear non-error-correction-protected multimedia data multicast method as follows: figure 1 As shown, the following processing steps are included:

[0099] Step 1. Separate each frame of multimedia data to be transmitted independently, and then split each frame of image into a large block X of MN×MN.

[0100] Step 2, large block X translation of each frame image 2 b-1 , where b is the image sampling depth, and then the large block after translation is subjected to the whole frame decorrelation transformation:

[0101] y=Tr(x-2 b-1 )

[0102] Y is the large block after the decorrelation transformation, Tr is the decorrelation transformation, and x is the pixel matrix of the large block.

[0103] The above decorrelation transformation can concentrate a large amount of energy (or information) of the image in a small area, and the decorrelation transformation can use K-L transformation, DCT transformation, DST transf...

Embodiment 2

[0169] FPGA (Field-Programmable Gate Array, Field Programmable Gate Array) + DSP (digital signal processing, digital signal processing) implementation: Due to the need for real-time video encoding and decoding (especially the receiving and decoding part), FPGA + DSP implementation becomes very necessary. The implementation of this scheme is divided into two parts: encoding, transmitting and receiving and decoding. The system block diagram is shown in the appendix Figure 8 , respectively implemented on two XilinxKC705FPGA development boards.

[0170] In this implementation scheme, the maximum module size is , and MN=1024 at the same time. The communication system adopts the OFDM system. The energy parameter P is determined with reference to the frame structure and the rated transmission power. The random sorting can be customized by using seeds. The decorrelation transformation is 2D-DCT transformation. The number of small blocks is N=1024. Data aggregation calculation is in p...

Embodiment 3

[0197] 2): Implementation of software radio:

[0198] In this implementation scheme, the maximum module size is , and MN=1024 at the same time. The communication system adopts the OFDM system. The energy parameter P is determined with reference to the frame structure and the rated transmission power. The random sorting can be customized by using seeds. The decorrelation transformation is 2D-DCT transformation. The number of small blocks is N=1024. Data aggregation calculation is in progress M=20, the whitening transformation adopts the Walsh-Hadamard transformation, and the revised model parameters are as follows 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. The system block diagram is attached image 3 , the specific implementation plan is as follows:

[0199] Source channel coding and decoding is completed on the PC by software Matlab, and high-speed digital signal processing and RF transmission and reception are completed on the ...

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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

technical field [0001] The invention relates to the technical field of wireless multicasting, in particular to a method for multimedia data multicasting with full linearity and no error correction protection. Background technique [0002] Wireless multicast is a video broadcast service applied to different channel situations. The existing wireless multicast system has a short-board effect, that is, the video or picture quality received by all receivers is the same as that received by the receiver with the worst channel. This short board effect makes the existing wireless multicast system unable to be "fair" to all receivers. At the same time, because the existing multicast system adopts a redundant picture compression method to be transmitted, the traditional wireless multicast system cannot tolerate the occurrence of packet loss during wireless transmission, which makes the traditional wireless multicast system suffer from channel changes. In severe cases, it shows poor r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W4/06H04W28/04H04W72/12
CPCH04W4/06H04W28/04H04W72/1221
Inventor 文湘鄂李憬宇贾惠柱解晓东
Owner PEKING UNIV
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