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

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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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, but its performance is also lost to a certain extent

Another kind of continuous symbol sequence estimation SSSgbKSE algorithm that can re-estimate K symbols improves the performance to a better level, but because it needs to re-estimate the previous K symbols before estimating the current symbol, this also brings Comes a sharp rise in implementation complexity

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