获得天线选择分集的空移键控调制算法

李晓峰; 王磊; 张晓阳

doi:10.7652/xjtuxb201308017

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获得天线选择分集的空移键控调制算法

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- 获得天线选择分集的空移键控调制算法
- A Space Shift Keying Modulation for Antenna Selection Diversity
- 西安交通大学学报 2013年47卷第8期页码：98-103
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2012-12-10。作者简介: 李晓峰(1988—),男,硕士生;王磊(通信作者),女,博士,讲师。基金项目: 国家自然科学基金资助项目(60902045);中芬国际合作资助项目(2010DFB10570);国家科技重大专项资助项目(2010ZX03003-004)
- DOI：10.7652/xjtuxb201308017
  中图分类号： TN929.5
- 网络首发：2013-08-10，
  
  纸质出版：2013
- 稿件说明：
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李晓峰, 王磊, 张晓阳. 获得天线选择分集的空移键控调制算法[J]. 西安交通大学学报, 2013,47(8):98-103.

A Space Shift Keying Modulation for Antenna Selection Diversity[J]. 2013, 47(8): 98-103.
李晓峰, 王磊, 张晓阳. 获得天线选择分集的空移键控调制算法[J]. 西安交通大学学报, 2013,47(8):98-103. DOI： 10.7652/xjtuxb201308017.

A Space Shift Keying Modulation for Antenna Selection Diversity[J]. 2013, 47(8): 98-103. DOI： 10.7652/xjtuxb201308017.

摘要

为了解决空移键控(SSK)调制不能获得发射分集的缺陷

提出了一种基于天线子集选择的SSK算法(ASD-SSK)。ASD-SSK算法利用各个发射天线的具有不同特性的无线传输信道构造了一个信号星座图; 然后依据最优星座图子集准则(即星座点间的最小距离最大)选择最优的发射天线子集; 最后利用所选的天线子集

采用SSK调制方式来传输信息。在每次天线子集选择中将距离最小的一对信道分开

从而将总的天线集合分成2个子集

依次迭代

可以有效降低ASD-SSK天线子集选择的复杂度。仿真结果表明:相比SSK算法

ASD-SSK算法不仅获得了选择分集增益

而且总的发射天线数目越多

分集增益越大; 在2 bit·s

-1

·Hz

-1

、发射天线数为6、误码率为10

-3

的条件下

ASD-SSK算法有14 dB左右的增益。

Abstract

A new space shift keying(SSK)modulation based on antenna selection diversity

called ASD-SSK is presented to solve the problem that existing SSK modulations cannot achieve transmit diversity. ASD-SSK utilizes the wireless channels of different transmit antennas with different characters to construct a signal constellation. Then

the optimal antenna subset is determined by selecting the optimal constellation subset which maximizes the minimum distance between the points in the subset. The information is then transmitted by using the SSK modulation with the selected antenna subset. In the iteration process of selecting the optimal antenna subsets

the total antenna set is divided into two smaller subsets by separating the two channels that have the smal

lest distance. This iteration scheme can effectively reduce the complexity of antenna subset selecting in the ASD-SSK. Simulation results show that the ASD-SSK scheme outperforms the original SSK in achieving selection diversity

and that the more the transmit antennas there are

the bigger the transmit diversity is. The ASD-SSK achieves about 14 dB gains when there are 6 transmit antennas at 2 bit·s

-1

·Hz

-1

and symbol error rate is 10

-3

关键词

Keywords

references

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