Earticle

초록

영어

In this paper, signal vector based detection (SVD) algorithm for spatial modulation (SM) is modified to achieve a near maximum-likelihood (ML) performance and reduces the complexity compared to ML. First, the proposed low-complexity SVD (LC-SVD) algorithm orders the antenna index list based on the angle between the received vector y and the channel vector j h , and then it estimates symbol by compensating the channel attenuation with transmitting antenna index list. We can trade-off between the performance and the complexity by changing the number of the candidate transmitting antennas. The theoretical analysis and simulation results show that the LC-SVD algorithm can achieve a near-ML performance with lower complexity.

목차

Abstract
 1. Introduction
 2. System Model
  2.1. SM Modulator
  2.2. MRC detector
  2.3. ML-Optimum Detector
 3. Low-Complexity Signal Vector Based Detection
  3.1. SVD
  3.2. Proposed LC-SVD
  3.3. Complexity Analysis
 4. Simulation Results
  4.1. BER Performance
  4.2. Comparison on Complexity
 5. Conclusions
 Acknowledgment
 References

키워드

저자

• Yang Jiang [ School of Communication Engineering, Chongqing University, Chongqing, China ]
• Jiejun Wen [ School of Communication Engineering, Chongqing University, Chongqing, China ]
• Yuanlu Wang [ School of Communication Engineering, Chongqing University, Chongqing, China ]
• Yibo Li [ School of Communication Engineering, Chongqing University, Chongqing, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Future Generation Communication and Networking

• 간기

  격월간

• pISSN

  2233-7857

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605