A low-complexity super-Nyquist detection method based on continuous symbols

A detection method and a low-complexity technology, applied in the field of communication, can solve the problems of increasing complexity, reducing complexity, performance loss, etc. Effect

Inactive Publication Date: 2019-01-22
XIDIAN UNIV
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Problems solved by technology

For example, in 2017, EBRAHIM BEDEER and others published the paper "AVery Low Complexity Successful Symbol-by-SymbolSequence Estimator for Faster-Than-Nyquist Signaling" on IEEE ACCESS, and proposed two low-complexity super-Nyquist detection techniques, among which The complexity of the continuous symbol sequence estimation SSSSE algorithm is greatly reduced,

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  • A low-complexity super-Nyquist detection method based on continuous symbols
  • A low-complexity super-Nyquist detection method based on continuous symbols
  • A low-complexity super-Nyquist detection method based on continuous symbols

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[0034] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0035] The traditional Nyquist system is the super-Nyquist transmission system when the acceleration factor τ is 1. The system can reach the Nyquist rate when the system has no intersymbol interference, and the acceleration factor τ of the super-Nyquist transmission system The value range is (0,1), and the symbol transmission rate can exceed the Nyquist rate.

[0036] refer to figure 1 , the existing super-Nyquist transmission system consists of three parts: transmitter, channel and receiver. The transmitter includes signal source, constellation mapping, upsampling and shaping filter modules, and the receiver includes matched filter, downsampling, The super Nyquist detection and constellation demapping modules work as follows:

[0037] The signal source generates a random binary bit stream, and after QPSK constellation mapping, a symbol-level sequence is ob...

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Abstract

The invention discloses a low-complexity super-Nyquist detection method based on continuous symbols, which mainly solves the problem that the complexity of the receiver detection method in the existing super-Nyquist transmission system is too high. The realization scheme is as follows: 1. The transmitter generates the transmitting signal; 2, noise is added to the transmitted signal to obtain a received signal; 3, match filtering and downsampling are performed on the received signal; 4, super-Nyquist detection is performed on the downsampled symbol sequence, namely, the symbol interferencebefore and after the current symbol is cancelledto obtain the symbol estimated value sequence after canceling the symbol interference; 5. the sequence of symbol estimates is de-mapped into a binary bit sequence. On the basis of guaranteeing the bit error rate performance, the invention greatly reduces the computational complexity, and is suitable for the detection of the super-Nyquist receiver in the large-capacity satellite communication system.

Description

technical field [0001] The invention belongs to the technical field of communication, and in particular relates to a low-complexity detection method, which is suitable for super-Nyquist receiver detection in a large-capacity satellite communication system. Background technique [0002] Different from the traditional Nyquist transmission system, the super-Nyquist FTN transmission system can effectively improve the frequency band utilization of the system by reducing the transmission interval of symbols. The advantages of special technology are obvious enough. In 1975, J.Mazo published the paper "Faster-than-Nyquist Signaling" in Bell System Technical Journal, pointing out that when the sinc function is used as the shaping pulse, the super-Nyquist technology can transmit 25% more data in the same bandwidth, And there will be no loss of system bit error performance. In 1972, G.D. Forney published a paper "Maximum-likelihood sequence estimation of digital sequence in the prese...

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Application Information

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IPC IPC(8): H04L25/03
CPCH04L25/03006H04L25/03343
Inventor 宫丰奎孙炳李强杨磊高洋
Owner XIDIAN UNIV
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