Low-complexity storage space constraint detection method based on probability sorting
A technology with storage space and low complexity, applied in the field of communication, can solve the problem of high complexity and achieve the effect of simple method
Active Publication Date: 2014-10-22
杭州简谱信息技术有限公司
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[0005] The purpose of the present invention is to overcome the existing MCTS algorithm in the middle of multi-symbol detection, under the situation of low storage space, the shortcoming of high complexity
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[0032] The present invention will be further described below in conjunction with the drawings.
[0033] figure 1 Shows the block diagram of the MIMO system. Consider the MIMO system has N T Root transmitting antenna and N R For the receiving antenna, the data bits at the transmitting end are first mapped into MPSK modulated signals, and space-time coding and differential coding are performed. After serial-to-parallel conversion, multiple parallel baseband transmission signals are formed, which are then modulated and sent out simultaneously from different antennas. . After passing through the Rayleigh flat fading channel, the signals from different transmitting antennas and noise are superimposed and received by multiple antennas at the same time. After demodulation, multiple parallel baseband reception signals are obtained, and then the parallel-to-serial conversion sends the signals to the detection using PSMCTS In the device, the signal in the corresponding constellation diag...
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The invention discloses a low-complexity storage space constraint detection method based on probability sorting and the method is mainly applied to an MIMO communication system which adopts differential modulation and a multi-symbol detection algorithm. The method is characterized in that advantages of a Gestra probability sorting algorithm (DSPS) and a simplified storage detector (MCTS) are used to reduce detection complexity and demands on a storage space. The method includes the following steps: a storage space M is arranged and according to the DSPS algorithm, mathematic statistical probability conversion is carried out on traditional metrics and then the MCTS is used to obtain node candidate branch sets and corresponding probability statistical decision metrics, starting from a tree root, and then according to the MCTS, M paths with minimum metrics are reserved and stored and calculation is continued to be carried out on the basis of the M paths so as to obtain candidate branch sets and metric values of reserved nodes of a current layer until last branches of the paths are reached and an optimal solution is obtained. The low-complexity storage space constraint detection method based on probability sorting is capable of reducing a floating point calculation times significantly so that the computation complexity is reduced.
Description
Technical field [0001] The present invention relates to the field of communication technology, in particular to a signal detection method of a wireless communication system, in particular to a low-complexity storage space constraint detection method based on probabilistic sequencing applied to a multi-antenna space-time modulation system. Background technique [0002] MIMO (Multiple Input Multiple Output) technology can greatly increase the capacity of wireless communication systems by using multiple transmitting and receiving antennas. In recent years, it has been extensively and in-depth researched by domestic and foreign experts and scholars, and has been heralded as the fourth generation of mobile One of the key technologies of communication. To realize the function of MIMO technology, we must rely on space-time coding and corresponding detection technology. The traditional correlation detection technology requires accurate channel state estimation, which is very difficult f...
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IPC IPC(8): H04L25/03
Inventor 金小萍朱瑞鑫
Owner 杭州简谱信息技术有限公司