FTN system signal detection method
A technology of system signal and detection method, applied in the field of communication, can solve the problems of fading channel, non-Gaussian noise, etc.
Active Publication Date: 2019-09-13
XI AN JIAOTONG UNIV
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[0003] In order to solve the problem of signal detection in the FTN system under non-Gaussian noise, the purpose of the present invention is to provide a signal detection method in the FTN system, which is a signal iterative joint detection method in the FTN system in the mixed Gaussian noise. State information, as well as the statistical characteristic parameters of non-Gaussian noise, solve the problem of frequency selective fading channel and non-Gaussian noise in actual communication. The simulation results prove that this method can effectively eliminate ISI while increasing the symbol transmission rate and restore the detected signal
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[0059] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.
[0060] In order to more clearly illustrate the purpose, technical solutions and advantages of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific implementation examples described here are only used to explain the present invention, and are not intended to limit the present invention.
[0061] This implementation example is based on the following communication system transmission model to perform FTN system signal detection. The specific definition of the model is as follows:
[0062] At the sending end of the system, consider mapping the source sequence to a data symbol vector x of length N, After the data symbol vector x passes through the shaping pulse f(t), the time domain expression of the FTN transmission si...
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The invention discloses an FTN system signal detection method. The method comprises: firstly, establishing a basic optimization problem of FTN system signal detection; secondly, constructing a complexprobability distribution model of the FTN transmission system under the Gaussian mixture noise; converting the complex probability model into a simplified solving model according to a variational reasoning method, finally solving to obtain an iterative closed-form solution of the signal and the channel information according to a joint probability factor graph and a calculation form of variationalmessage transmission, and performing iterative updating by applying the closed-form solution to finally recover to obtain an FTN signal meeting an iteration termination condition. Compared with othermentioned methods, the detection method has the advantages that the bit error rate performance is superior to that of other methods, the transmission rate is increased under different acceleration factors, excessive bit error rate performance loss is not caused, and a good inhibition effect on intersymbol interference in an FTN system is achieved.
Description
technical field [0001] The invention relates to the technical field of communication, in particular to a signal detection method of an FTN system. Background technique [0002] Realizing high-speed data transmission with limited frequency resources is one of the key issues and research topics in wireless communication. In digital transmission, the traditional theory holds that in order to ensure reliable data transmission, the symbol rate cannot exceed the Nyquist rate, otherwise it will cause serious Inter-Symbol Interference (ISI), resulting in a serious decline in communication performance . However, the faster than Nyquist (FTN) signaling proposed by Mazo proves that it can increase the transmission rate within the same bandwidth. Research shows that the FTN transmission mode can transmit at a symbol rate 30% to 100% higher than that of traditional orthogonal systems. As long as the minimum Euclidean distance of the signal remains constant, the bit error rate performa...
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IPC IPC(8): H04L25/03H04W24/06H04B17/309
CPCH04B17/309H04L25/03006H04W24/06
Inventor 李锋陈江涛张佳辰
Owner XI AN JIAOTONG UNIV