지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보처리학회 JIPS(Journal of Information Processing Systems) JIPS(Journal of Information Processing Systems) 제17권 제6호
- 발행연도
- 2021.12
- 수록면
- 1,083 - 1,096 (14page)
- DOI
- 10.3745/JIPS.03.0168
이용수
초록· 키워드
오류제보하기
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 simulationsconducted 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.
목차
등록된 정보가 없습니다.
참고문헌 (16)
참고문헌 신청
E. G. Larsson / 2014 / Massive MIMO for next generation wireless systemsm / IEEE Communications Magazine 52(2):186~195
M. Pappa / 2017 / Performance comparison of massive MIMO and conventional MIMO using channel parameters / Proceedings of 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), :1808~1812
J. Lee / 2016 / Massive MIMO full-duplex for high-efficiency next generation WLAN systems / Proceedings of 2016 International Conference on Information and Communication Technology Convergence (ICTC), :1152~1154
W. U. Bajwa / 2009 / Sparse multipath channels: Modeling and estimation / Proceedings of 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop :320~325
G. Gui / 2015 / Low-complexity large-scale multiple-input multiple-output channel estimation using affine combination of sparse least mean square filters / IET Communications 9(17):2168~2175
M. Pappa / 2017 / Performance comparison of massive MIMO and conventional MIMO using channel parameters / Proceedings of 2017 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), :1808~1812
J. Lee / 2016 / Massive MIMO full-duplex for high-efficiency next generation WLAN systems / Proceedings of 2016 International Conference on Information and Communication Technology Convergence (ICTC), :1152~1154
W. U. Bajwa / 2009 / Sparse multipath channels: Modeling and estimation / Proceedings of 2009 IEEE 13th Digital Signal Processing Workshop and 5th IEEE Signal Processing Education Workshop :320~325
G. Gui / 2015 / Low-complexity large-scale multiple-input multiple-output channel estimation using affine combination of sparse least mean square filters / IET Communications 9(17):2168~2175
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