A Calculation Method of llr Based on Double Gaussian Approximation
A calculation method, double Gaussian technology, applied in the field of channel decoding, can solve the problems of increasing complexity and achieve the effect of reducing the number of decoding iterations
Active Publication Date: 2021-12-17
BEIJING UNIV OF POSTS & TELECOMM
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Problems solved by technology
For the case where the interference source is unknown, existing studies have added a probability density estimator to the decoder, but the iterative calculation of the probability density estimator also leads to a significant increase in complexity
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[0075] It is assumed that the transmitting end uses Turbo code encoding, the information bit length is 1000 bit, and the two sub-encoders produce 3bit tail bits, respectively, and the code rate is 1 / 3, and the encoded code length is n = 3018 bit. The channel gain of the transmitting end to the receiving end is known, and normalized is 1. The receiving end receives the signal Y 1 Y 2 , ..., y N The number of interference sources and its channel gain are unknown; the specific process is:
[0076] Step 1: The receiving end calculates the statistical average of the received signal
[0077] Step 2: Receive ends of noise and interference, Double Gauss, calculate parameters of Double Gaussian distribution:
[0078]
[0079] Step 3: By using Calculate LLR to get λ 1 λ 2 , ..., λ N ;
[0080] Step 4: Will λ 1 λ 2 , ..., λ N As the input of the decoder, decoding is performed, thereby obtaining a transmitted signal.
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The invention discloses an LLR calculation method based on double Gaussian approximation, which belongs to the field of channel decoding; specifically: in a multi-user interference scenario, the received signal is simultaneously interfered by an unknown number of unknown interference sources, all interference signals and The sum of channel noise is the total noise. First, use the receiving end to receive and store the received signal y corresponding to the complete codeword 1 ,y 2 ,...,y N ; Then, calculate the statistical average equivalent to the statistical characteristics of the received signal, and further calculate the statistical characteristics of the total noise; at the same time, calculate the statistical characteristics of the double Gaussian distribution according to the probability density function; ensure that the total noise and the statistical characteristics of the double Gaussian distribution are the same , calculate the parameters μ and σ; finally, the receiving end performs soft demodulation on the received signal, and substitutes the parameters μ and σ into the LLR, and calculates the corresponding result λ of the received signal 1 ,λ 2 ,...,λ N , input to the decoder for channel decoding to obtain the desired signal. The present invention effectively improves channel decoding performance under multi-user interference with minimum cost.
Description
Technical field [0001] The present invention belongs to the field of channel decoding, the channel decoder LLR relates to multi-user interference scenario (log likelihood ratio, Log-Likelihood Ratio) calculation, LLR calculation method for a specific double Gauss approximation. Background technique [0002] In recent years, the rapid development of wireless communication technology, the fifth generation of mobile communication technology has also been put into use. As the channel coding can improve the reliability of the key channel technology, it plays an important role in a wireless communication system. 3G, Turbo codes and LDPC codes 4G systems are widely used, and the Polar code 5G introduced, has close to Shannon limited performance, largely thanks to its use of soft information transfer decoding. [0003] Calculating an LLR soft information is an important link in the communication process, such as figure 1 , The physical layer of the mobile communication today, the encoded...
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IPC IPC(8): H04L1/00
CPCH04L1/0047H04L1/0048H04L1/0054
Inventor 付钰刘奕彤杨鸿文
Owner BEIJING UNIV OF POSTS & TELECOMM