Adaptive equalization method for single carrier system

Abstract

The invention provides an adaptive equalization method of a single-carrier system. The method includes the following steps: step A: the received signal is converted to frequency-domain data by fourier transformation; step B: the time-domain equalization data are obtained after frequency-domain equalization and inverse fourier transformation; wherein, each data section xi with length N in the transmission structure consists of an information section si with length N-L and a known UW section u with fixed length L as cyclic prefix; step C: UW section with length L is separated from the time-domain equalization data and the equalized signal and the own error signal are used as the input variables of adaptive channel estimation. The invention can restrict the error measurement in the UW section and reduce the noise impact and also has the advantages of low calculation complexity and small calculation amount.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an adaptive equalization method for a single carrier system. Background technique [0002] Single carrier frequency domain equalization (single carrier frequency domain equalization, SC-FDE) is a very effective method for combating multipath interference in broadband wireless transmission. In a wireless communication system, in addition to being interfered by various noises, the multipath propagation of the transmitted signal also affects the bit error rate of data transmission, causing inter symbol interference (ISI). With the rapid increase of access and data transmission rates, higher and higher transmission bandwidths cause serious time dispersion, and the received signal contains multipath waves that experience attenuation and delay, causing frequency selective fading, thus lead to severe ISI. At this time, if only time-domain equalization is used to reduce ISI, mor...

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Problems solved by technology

There are two problems in doing this: (1) Since only a part of the unique word (UW segment) of the sequence length in the balanced data is known, the error calculation will increase the noise of the error calculation part due to the wrong judgment; (2) the entire data There is a problem that the peak-to-average ratio of the FFT transformation data of the segment is too large. At the frequency point with a small amplitude, the adaptive channel estimation is affected by the noise and becomes larger accordingly.

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