Decoding method and device, and system thereof

Abstract

The invention relates to a decoding method and device, and a system thereof. The method is used for a truncated OvTDM system, and comprises the following steps of: receiving symbol sequences to be decoded, wherein the symbol sequences to be decoded include N symbols; generating 2<K> ideal superposition symbol sequences after K ideal symbol sequences are superposed; sequentially calculating the first distance between the current symbol y and each ideal superposition symbol sequence, wherein i=K-N; obtaining the second distance after current symbols are accumulated according to the first distance; after the last symbol y<N> is processed, obtaining an ideal symbol sequence corresponding to the smallest accumulation distance according to the second distance; and taking the ideal symbol sequence corresponding to the smallest accumulation distance as the output symbol sequence. By means of the decoding method and device, and the system thereof disclosed by the invention, the relatively high decoding success rate can be achieved under equal conditions.

Description

technical field [0001] The present invention relates to signal decoding in a wireless communication system, in particular to a decoding method, device and system for truncating OvTDM. Background technique [0002] For wireless communication systems, especially for truncated OvTDM systems, people's ideal expectation is that the signal can be transmitted without distortion in the channel, and the effective information can be obtained by efficient, fast and completely correct decoding at the receiving end. In an actual system, due to the complexity of the real channel environment, the signal transmission process generally distorts part of the information. In order to completely decode and obtain effective information, the sending end and the receiving end need to use a larger transmission power and signal-to-noise ratio to transmit the signal. , the information can be decoded correctly at the receiving end. However, the transmission power cannot be increased without a limit, s...

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Problems solved by technology

However, the transmission power cannot be increased without a limit, so it is necessary to find an efficient and correct decoding method

[0003] In the prior art, when performing sequence detection, most of them use the Hamming distance to select the best path, and the Hamming distance needs to convert the received data into a {0,1} sequence by hard decision processing, and then compare the judgment After the real data and the ideal data have the same number, the sequence is only 0 and 1, the probability of the same Hamming distance of the two data in the actual system is high, and there is a certain error in the data after the hard judgment, it is difficult to accurately select An optimal path reduces the decoding success rate of the system

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