Channel estimation method based on polar code

A channel estimation and channel technology, which is applied in the field of channel estimation based on polar codes, can solve the problems of reducing frequency band utilization, high computational complexity, poor estimation performance, etc., and achieves the effect of reducing complexity

Active Publication Date: 2016-05-04
BEIHANG UNIV
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Problems solved by technology

However, the pilot needs to be sent in advance, which reduces the frequency band utilization
Compared with the data-assisted channel estimation method, the non-data-assisted channel estimation method has high computational complexity and poor estimation performance because it does not need to know the information sequence in advance

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  • Channel estimation method based on polar code
  • Channel estimation method based on polar code
  • Channel estimation method based on polar code

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Embodiment Construction

[0016] The present invention will be further described in detail with reference to the accompanying drawings and embodiments.

[0017] In the channel estimation method based on polar codes of the present invention, under the determined channel model, the average number of frozen bits of each frame error in the statistical decoding is calculated by the one-to-one relationship between the average number of frozen bits and the channel parameters. Mapping relationship for channel estimation.

[0018] Before performing channel estimation, the present invention first needs to obtain a mapping table between the mean value of the number of error frozen bits and the channel parameters to be estimated. The present invention also provides two methods for obtaining the mapping relationship. During the decoding process, the channel parameters are obtained according to the mapping table by counting the average value of the decoding error frozen bits.

[0019] Suppose the code length is N,...

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Abstract

The invention provides a channel estimation method based on a polar code, and belongs to the field of communication. The method provided by the invention is applicable to estimating a univariate channel; firstly a mapping table between the mean value of the number of error freezing bits and a channel parameter to be estimated is obtained, and then the channel estimation is performed. The mapping table is obtained by using a limited code Monte Carlo method or a limited code theory calculation method. The mean value of the number of the error freezing bits in the SC decoding result of an L frame polar code is counted, and the corresponding channel parameter is obtained through contrasting the mapping table. According to the channel estimation method provided by the invention, the concept of the error freezing bits is creatively provided, and the channel code is joined with the channel estimation, thus the complexity is reduced, and the more accurate channel parameter can be obtained with the smaller complexity.

Description

technical field [0001] The invention belongs to the communication field, in particular to a channel estimation method based on polar codes. Background technique [0002] polar code, 2009 by The new channel coding proposed is currently the only coding that can theoretically prove that the channel capacity is achieved, and the coding and decoding complexity is low, both O(NlogN). The above two reasons make polar codes become a research hotspot in recent years, such as the coding construction method of polar codes and their applications in various channels. Not only in terms of research, but also in terms of applications, polar codes also have great prospects and deep potential. There are a lot of researches on the decoding application of polar codes. Now the throughput rate realized on the FPGA platform can reach 400Gbps, which is better than BP (Belief Propagation, belief propagation) decoding of LDPC codes (LowDensityParity-Check, low-density parity-check codes). The com...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L25/02
CPCH03M13/6337H03M13/13H04L25/0236
Inventor 刘荣科李奕瑾王闰昕
Owner BEIHANG UNIV
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