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Blind-detection and modulation constellation optimization method in wireless communication, storage medium

A wireless communication and optimization method technology, applied in the field of communication, can solve problems such as limited number of antennas at the receiving end, channel orthogonality not strictly satisfied, constellation design defects, etc.

Active Publication Date: 2018-12-21
ZHENGZHOU UNIV
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Problems solved by technology

However, due to the limited number of antennas at the receiving end, the orthogonality of the channel is not strictly satisfied, which leads to flaws in the constellation design

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  • Blind-detection and modulation constellation optimization method in wireless communication, storage medium
  • Blind-detection and modulation constellation optimization method in wireless communication, storage medium
  • Blind-detection and modulation constellation optimization method in wireless communication, storage medium

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Embodiment Construction

[0056] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0057] In order to effectively improve system performance under the premise of relatively low system overhead, and to facilitate application in practical systems, the present invention proposes a fast non-coherent maximum likelihood detection method and a transmission modulation constellation optimization design method.

[0058] see figure 1 , including the following steps:

[0059] S1: Large-scale SIMO wireless communication system, each sub-channel is independently and identically distributed, and obeys the Rayleigh distribution; at the same time, the channel changes in each time slot, the transmitting end sends a non-negative pulse amplitude modulation PAM (Pulse amplitude modulation) signal, and the receiving end The terminal does not need instantaneous channel information, uses the maximum likelihood criterion to detect the rece...

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Abstract

The invention discloses a maximum likelihood detection method and a transmission modulation constellation optimization design method in a large-scale SIMO (Single Input Multiple Output) wireless communication system in the field of communication technology, in particular to a blind detection and modulation constellation optimization method and a storage medium in wireless communication. In Rayleigh fading channel, the optimal decision threshold of maximum likelihood detection and the average symbol error rate of the corresponding closed form are derived. Then the upper and lower limit expressions of the average symbol error rate are derived. When the receiving antenna is large-scale, the upper and lower limits of the average symbol error rate are used to quantitatively characterize the attenuation rate of the average symbol error rate. Finally, the optimal modulation constellation is obtained by maximizing the coding gain. Compared with the traditional constellation design method, theinvention can obviously improve the system performance and has lower system overhead, thereby improving the feasibility of the method in the practical application.

Description

technical field [0001] The invention relates to a fast non-coherent maximum likelihood detection design method and a transmission modulation constellation optimization design method in the field of communication technology, in particular to maximizing the receiving diversity gain and coding gain of a non-coherent large-scale SIMO system. Background technique [0002] With the rapid development of wireless communication technology, massive MIMO technology can greatly improve system capacity and reliability through spatial multiplexing, and can also eliminate the influence of uncorrelated noise and small-scale fading. Especially for large-scale SIMO systems, the energy-based incoherent detection scheme and constellation design are analyzed by using the central limit theorem and the law of large numbers. When the number of antennas reaches a large scale, most traditional constellation design schemes largely rely on the orthogonality of asymptotic channels. However, due to the ...

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Application Information

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IPC IPC(8): H04L27/06H04L27/00H04B14/02H04B7/08
CPCH04B7/08H04B14/023H04L27/0012H04L27/06
Inventor 高向川张建康靳进
Owner ZHENGZHOU UNIV