KEYWORDS: Receivers, Signal detection, Signal to noise ratio, Transmitters, Telecommunications, Binary data, Systems modeling, Pulse shaping, Electronic filtering, Modulation
Faster-than-Nyquist (FTN) signaling has been considered a promising technique for higher frequency bandwidth efficiency. However, symbol detection at the receiver suffers rather high computation complexity due to the intentionally introduced infinite inter-symbol interference (ISI) caused by the way of FTN signaling. For solving this problem, a new method is proposed based on precoding at the transmitter. In this schema, precoding technique is used to eliminate the ISI and lower complexity of the detection of the receiver and Turbo-code is used to reduce the system’s bit error rate (BER). Moreover, the precoding method can be extended to the MQAM. Numerical examination of the proposed method shows performance improvement of the proposed approach over FTN signaling.
This paper focuses on the low complexity detection for the Faster-than-Nyquist (FTN) signaling, which is an important problem in the practical application. Considering intersymbol interference (ISI) and colored noise caused by FTN, a new whiten matched filter (WMF) is proposed to decorrelate the colored noise with matrix decomposition. Exploring the structure of upper-triangle matrix, the detection problem for FTN is transformed to a similar type problem of tree-searching. A novel receiver for FTN is proposed based on sphere detection algorithm. Furthermore, for reducing the random detection complexity, a new way is proposed to choose an initial sphere radius size. Numerical results suggest that the proposed method for choosing the initial sphere radius size performs well even in the low signal-to-noise ratio (SNR) region. Moreover, the bit error rate (BER) performance of the proposed method reaches the maximum-likelihood (ML) bound closely.
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