Joint channel estimation and data detection in MIMO-OFDM using distributed compressive sensing
- Авторлар: Jomon K.1, Prasanth S.2
-
Мекемелер:
- IES College of Engineering
- Royal College of Engineering and Technology
- Шығарылым: Том 60, № 2 (2017)
- Беттер: 80-87
- Бөлім: Article
- URL: https://journals.rcsi.science/0735-2727/article/view/177031
- DOI: https://doi.org/10.3103/S0735272717020029
- ID: 177031
Дәйексөз келтіру
Аннотация
Channel impulse response of a multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) channel contains a smaller number of nonzero components. In addition, locations of nonzero taps coincide in delay domain. So channel impulse responses can be modeled into an approximately group sparse signals. In this work we use extended sparse Bayesian learning (ESBL), a new method for multichannel compressive sensing for channel estimation in MIMO-OFDM. In joint extended sparse Bayesian learning (JESBL), both pilot and data subcarriers are utilized for channel estimation. These methods can reduce the number of pilot subcarriers in OFDM and improve the spectral efficiency of the MIMO-OFDM system.
Авторлар туралы
K. Jomon
IES College of Engineering
Хат алмасуға жауапты Автор.
Email: jomonkcharly@gmail.com
Үндістан, Kerala
S. Prasanth
Royal College of Engineering and Technology
Email: jomonkcharly@gmail.com
Үндістан, Akkikavu