Receiving processing method in single-carrier wireless communication system

Abstract

The invention belongs to a receiving processing method in a single-carrier wireless communication system. The method comprises: carrying out down-conversion treatment, A / D conversion, cyclic prefix removal, FFT treatment, communication channel estimation, linear equalization, demodulation, decoding and subsequent demodulation on a received transmitting signal. The invention is characterized by directly carrying out demodulation after carrying out linear equalization at a receiving terminal; then carrying out decoding treatment which contains bit log likelihood ratio treatment, candidate symbol vector listing and maximum likelihood treatment; and finally demodulating and sending the decoded data. In the invention, the error rate is only 15-50% of that of the background technology and is equivalent to that of the SD (spherical decoding) technology with higher complexity, and the performance gain can be improved by about 5dB; and under the condition of the same spectrum effectiveness, the invention has the characteristics that the receiving processing complexity of the communication system is low, the performance of the SC-FDE system is obviously improved, the error rate is greatly reduced, the communication quality, the reliability and the transmission efficiency are effectively improved, etc.

Description

technical field [0001] The invention belongs to the technical field of communication, in particular to a single-carrier wireless communication system receiving method whose receiving performance is equivalent to the effect of adopting the near maximum likelihood processing technology. Background technique [0002] Orthogonal Frequency Division Multiplexing (OFDM) and Single Carrier Frequency Domain Equalization (SC-FDE) are two very effective methods for combating multipath interference in broadband wireless transmission. The workflow of a traditional single-carrier wireless communication system using frequency domain equalization technology is as follows: figure 1 As shown, in this system, at the transmitting end: the user’s information bits are modulated (1) to obtain the modulated signal vector, that is, the user’s time-domain data block vector for transmission; the modulated signal is added with a cyclic prefix (2), Transmit after D / A conversion (3), up-conversion (4) a...

AI Technical Summary

Problems solved by technology

Aiming at the inter-symbol interference caused by multipath effect, the above technology simply adopts linear equalization technology at the receiving end (machine) to improve the performance of the system. Although the implementation is simple, it has defects such as high bit error rate.

However, using Maximum Likelihood Detection (MLD) technology can achieve the lowest bit error rate that the system can achieve, but it has high complexity, and the complexity increases exponentially with the input of the channel, which is difficult to achieve, etc. defect

The spherical decoding technology, which is similar to MLD technology, greatly reduces the complexity of MLD technology processing under normal circumstances by continuously reducing the search radius, and can achieve a performance very close to that of MLD. However, in extreme The complexity of its processing is still comparable to the complexity of MLD technology in the case of low signal-to-noise ratio (SNR)

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