JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Massive MIMO Channel Estimation Algorithm Based on Weighted Compressed Sensing |
| 영문제목(English Title) |
Massive MIMO Channel Estimation Algorithm Based on Weighted Compressed Sensing |
| 저자(Author) |
Zhiguo Lv
Weijing Wang
|
| 원문수록처(Citation) |
VOL 17 NO. 05 PP. 1083 ~ 1096 (2021. 10) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Compressed sensing-based matching pursuit algorithms can estimate the sparse channel of massive multiple input multiple-output systems with short pilot sequences. Although they have the advantages of low computational complexity and low pilot overhead, their accuracy remains insufficient. Simply multiplying the weight value and the estimated channel obtained in different iterations can only improve the accuracy of channel estimation under conditions of low signal-to-noise ratio (SNR), whereas it degrades accuracy under conditions of high SNR. To address this issue, an improved weighted matching pursuit algorithm is proposed, which obtains a suitable weight value uop by training the channel data. The step of the weight value increasing with successive iterations is calculated according to the sparsity of the channel and uop. Adjusting the weight value adaptively over the iterations can further improve the accuracy of estimation. The results of simulations conducted to evaluate the proposed algorithm show that it exhibits improved performance in terms of accuracy compared to previous methods under conditions of both high and low SNR. |
| 키워드(Keyword) |
Channel Estimation
Compressed Sensing
Matching Pursuit
Sparse Reconstruction
|
| 파일첨부 |
PDF 다운로드
|
