基于四次方星座低复杂度盲SLM相位旋转的估计算法

doi:10.13229/j.cnki.jdxbgxb.20210905

摘要/Abstract

摘要：

盲选择映射（Blind SLM）技术会选择采用原始正交振幅调制（QAM）星座与解映射后接收信号之间的欧氏距离进行盲估计时，对计算复杂度要求较高。为能在确保通信质量的前提下，尽量降低系统的计算复杂度，提出了一种基于四次方星座最小欧氏距离的相位旋转序列估计方法。本算法中由于应用了四次方星座，故可以减少用于计算最小欧氏距离的信号总量，从而能降低系统的计算复杂度。此外，本文还引入了一组由 $0 °, 135 °$ 随机选择构造的相位旋转序列在保持较高的估计精度的前提下，进一步降低复杂度。仿真结果表明：当 $E b / N 0 > 6 ? d B$ 时，对于不同的调制方式16QAM和64QAM，相位旋转估计的计算复杂度降低到了传统基于最大似然估计算法（ML）的盲SLM估计的约35%和14%，降低到了两步估计的约50%和21%，而误码率（BER）没有明显降低。因此，本文方法能在不降低无线通信系统性能的前提下，有效减少算法复杂度。

关键词: 信号峰均比, 星座, 复杂度, 盲选择映射

Abstract:

Typically, blind selection mapping techniques require high computational complexity when blind estimation is performed using the Euclidean distance between the original quadrature amplitude modulation (QAM) constellation and the received signal after demapping. In order to minimize the computational complexity of the system under the premise of ensuring the communication quality, a phase rotation sequence estimation method based on the minimum Euclidean distance of the quartile constellation is proposed. Due to the application of constellations to the power of the fourth power in this algorithm, the total number of signals used to calculate the minimum Euclidean distance can be reduced, thereby reducing the computational complexity of the system. In addition, a set of phase rotation sequences constructed by $0 °, 135 °$ random selection are introduced to further reduce the complexity while maintaining high estimation accuracy. The simulation results show that when [Eb/N0>6 dB], for different modulation modes 16QAM and 64QAM, the computational complexity of phase rotation estimation is reduced to about 35% and 14% of the traditional blind SLM estimation based on the maximum likelihood estimation algorithm (ML), and reduced to about 50% and 21% of the two-step estimation, while the bit error rate (BER) is not significantly reduced. Therefore, the proposed method can effectively reduce the complexity of the algorithm without reducing the performance of the wireless communication system.

Key words: peak-to-average power ratio, constellation, complexity, blind selected mapping

中图分类号:

TG115.28

王金鹏,姚庆雪,李博,赵昕. 基于四次方星座低复杂度盲SLM相位旋转的估计算法[J]. 吉林大学学报(工学版), 2023, 53(5): 1496-1504.

Jin-peng WANG,Qing-xue YAO,Bo LI,Xin ZHAO. Low⁃complexity phase rotation estimation based on fourth⁃power constellation in blind SLM system[J]. Journal of Jilin University(Engineering and Technology Edition), 2023, 53(5): 1496-1504.

图/表 7

图1

图2

表1

仿真参数设定"

发送端	数据调制	参与运算的序列数量	QPSK，16QAM，64QAM
	数据调制	循环前缀长度	$N g = 16$
	用户端天线数量	No. of UE antennas	$N u e = 2$
		No. of sequences/candidates	$M = 1 ~ 256$
		PAPR_0.1%阈值	6 dB
传输信道	Fading type	Frequency-selective block Rayleigh
	Oversampling rate	$V = 8$
	No. of BS antennas	$N B S = 4$
	R_x filter	MMSE （STBC-TD）

表1

表2

传输的每个分组数据的计算复杂度"

算法

传统盲SLM的ML估计算法

传统盲SLM的

两步估计算法

本文算法

调制

64QAM

乘法

M × 132 N c + 1

134 × N t b

M × 22 N c + 1

表2

图3

图4

图5

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