基于索引调制OTFS系统的应用

Low-Complexity Detection Algorithm for Index Modulation-Based OTFS Systems

正交时频空(Orthogonal Time Frequency Space,OTFS)调制技术和索引调制(Index Modulation,IM)技术适用于高移动性场景,具有高频谱效率等优势,在图像传输领域应用前景广泛。然而,结合索引调制的正交时频空(Orthogonal Time Frequency Space with Index Modulation,OTFS-IM)调制技术的算法实现复杂度较高。对此,在广义近似消息传递(Generalized Approximate Message Passing,GAMP)的基础上改进,提出一种基于概率排序的阻尼广义消息传递算法。实验结果表明,在图像传输应用中,与传统的最小均方误差结合最大似然方案(Minimum Mean Squared Error with Maximum Likelihood,MMSEML)相比,所提的算法具有更低的复杂度,性能也优于传统的MMSE-ML传输方案。

Orthogonal Time Frequency Space(OTFS)Modulation technology and Index Modulation(IM)technology are suitable for highly mobile scenes,with advantages such as high spectral efficiency,and have a wide application prospect in the field of image transmission.However,the Orthogonal Time Frequency Space with Index Modulation(OTFS-IM)modulation technique is more complex to implement.In this paper,a damped Generalized Message Passing algorithm based on Generalized Approximate Message Passing(GAMP)is proposed based on Generalized approximate Message passing(GAMP).The experimental results show that compared with the traditional Minimum Mean Squared Error with Maximum Likelihood(MMSE-ML),the proposed algorithm has lower complexity in image transmission applications.The performance is also better than the traditional MMSE-ML transmission scheme.