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Multi-antenna OFDMA signal decoding method based on rapid and independent component analysis

A technology of independent component analysis and decoding method, applied in diversity/multi-antenna system, multi-frequency code system, multi-carrier system, etc., which can solve the problems of FFT demodulation and decoding performance degradation

Active Publication Date: 2016-03-23
江苏傲讯达电子科技有限公司
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AI Technical Summary

Problems solved by technology

However, the current blind channel estimation method also requires FFT demodulation and decoding
If the channel estimation is inaccurate, it will cause subsequent FFT demodulation and decoding performance degradation

Method used

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  • Multi-antenna OFDMA signal decoding method based on rapid and independent component analysis
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  • Multi-antenna OFDMA signal decoding method based on rapid and independent component analysis

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Embodiment

[0127] figure 2 The simulation is carried out under the following parameters: the number of antennas at the receiving end N t =3, the number of subcarriers is L=16, the subcarriers are divided into 8 subchannels, that is, Q=8, and each subchannel has 2 subcarriers. In this paper, we take two sub-channels and give them to two users respectively, that is, K=2, and each user occupies 2 sub-carriers. The number of multipaths is 4, take q 1 = 3 and q 2 =7. The normalized frequency offset △f corresponding to user 1 and user 2 1 and Δf 2 They are 0.18 and 0.2 respectively, and the delay T=5. Multipath number L c = 4, the multipath fading coefficient of each path obeys a Gaussian distribution with zero mean and unit variance.

[0128] figure 2 The present invention based on independent component analysis multi-antenna OFDMA blind decoding algorithm and MMSE decoding algorithm based on training sequence channel estimation and the performance comparison of MMSE decoding algor...

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Abstract

The invention discloses a multi-antenna OFDMA signal decoding method based on rapid and independent component analysis. The method comprises the following steps: step 1, establishing a signal model for meeting the requirement of a rapid and independent component analysis algorithm on an input signal; step 2, conducting PCA whitening on an observation vector under Gaussian noise; step 3, separating a plurality of user information modulated on OFDMA subcarriers without knowing any information about the subcarriers; and step 4, performing subcarrier sequence estimation and OFDMA user identification. According to the method, mathematical statistical modeling is conducted on multi-antenna OFDMA signals based on Fast-ICA, and blind channel estimation and decoding are also performed, so that the signal energy is increased without removing a cyclic prefix, and the decoding performance is improved. Through adoption of the method, timing is not needed at a receiving end, blind separation and decoding are conducted on the OFDMA signals, and the decoding performance is good.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a multi-antenna OFDMA signal decoding method based on fast independent component analysis. Background technique [0002] MIMO (Multiple-Input Multiple-Output) technology fully develops space resources and uses multiple antennas to achieve multiple transmissions and multiple receptions. Without increasing spectrum resources and antenna transmission power, the channel capacity can be doubled to meet the high-speed requirements of future wireless communications. data transmission needs. OFDMA (Orthogonal Frequency Division Multiplexing Access) is a multiple access method that allocates different subcarriers for each user. OFDMA enables each sub-channel to experience flat fading, and has the advantages of anti-multipath interference and high spectrum utilization. Therefore, fully exploiting the potential of these two technologies and combining them (MIMO-OFDM) can...

Claims

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Application Information

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IPC IPC(8): H04L27/26H04L27/38H04B7/08
CPCH04B7/0854H04B7/0865H04L27/2695H04L27/3854
Inventor 沈雷卜燕燕胡桃桃
Owner 江苏傲讯达电子科技有限公司
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