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Improved RDSM sparse unitary space-time dispersion matrix set low-complexity genetic algorithm optimization method

An optimization method and a low-complexity technology, applied in the field of communication, can solve problems such as inability to guarantee optimal performance and high complexity, and achieve the effects of improving DM set optimization efficiency, reducing computational complexity, and improving bit error rate convergence rate

Pending Publication Date: 2022-04-29
中国计量大学上虞高等研究院有限公司
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Problems solved by technology

[0004] In the study of RDSM, the traditional traversal search method is still used in the construction of the DM set (DMs) at the transmitter, which is not only too complicated, but also cannot guarantee the best performance. This is a bottleneck in the current RDSM system research

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  • Improved RDSM sparse unitary space-time dispersion matrix set low-complexity genetic algorithm optimization method
  • Improved RDSM sparse unitary space-time dispersion matrix set low-complexity genetic algorithm optimization method
  • Improved RDSM sparse unitary space-time dispersion matrix set low-complexity genetic algorithm optimization method

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Embodiment Construction

[0070] The scheme of the present invention will be further described below in conjunction with the accompanying drawings, specific formula analysis and implementation simulation results.

[0071] Build a RDSM system model.

[0072] The transmitter model of the RDSM system optimized by GA is as follows: figure 1 Shown, N t Indicates the transmitting antenna, N r Indicates the receiving antenna, T s Indicates the number of space-time mapping slots, and Q indicates the unitary space-time dispersion matrix in DM the number of .

[0073] The signal of each W frame is divided into N t / T s Frame reference block signal and W-N t / T s frame information block signal from figure 1 It can be seen that when sending the t-th frame signal, the information bit b is divided into b by serial-to-parallel conversion 1 and b 2 Two parts: a) b 1 = log 2 (Q) Used to select 1 in the optimized DM set b) b 2 = log 2 (M) is used to select the M-PSK constellation symbol u t . Gener...

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Abstract

The invention discloses an improved RDSM sparse unitary space-time dispersion matrix set low-complexity genetic algorithm optimization method. The method is used for optimizing an RDSM space-time dispersion matrix. According to the low-complexity GA algorithm, through five steps of population initialization, crossover, variation, selection and fitness value calculation, continuous iteration is carried out, stable rising of a fitness value is achieved, and the bit error rate (BER) performance of the system is improved. When the fitness is calculated, the sparse unitary characteristic of the DM set of the RDSM is fully utilized, the influence of different sending matrixes at the previous moment on the calculation fitness value of the current sending matrix is eliminated, and the calculation complexity of classification discussion when the RDC criterion is used for differential calculation is solved. And the calculation complexity of the system is further reduced through the rotational symmetry of the constellation symbols. Simulation results show that under the condition that BER optimization performance is guaranteed, compared with a traditional method, the low-complexity genetic algorithm has faster convergence and lower calculation cost, and the calculation complexity of DM set optimization is reduced by two orders of magnitude.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to an improved RDSM sparse unitary space-time dispersion matrix set low-complexity genetic algorithm optimization method. Background technique [0002] Index modulation (IM, index modulation) is a new modulation technology proposed in recent years. It has outstanding advantages in terms of spectrum and energy efficiency and hardware implementation complexity. It is expected to become a key candidate technology for 6G green wireless communication. Among them, spatial modulation (SM, spatial modulation), as a kind of index modulation in airspace, has the characteristics of low power consumption and no interchannel interference (ICI, interchannel interference), and has been the most extensively researched. Differential spatial modulation (DSM, differential spatial modulation) realizes non-coherent detection based on the advantages of SM, and overcomes the problem that channel st...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/12G06F17/16
CPCG06N3/126G06F17/16
Inventor 金小萍章鹏江晓欣
Owner 中国计量大学上虞高等研究院有限公司