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- Title
An enhanced semi-blind channel estimation for MIMO-OFDM systems.
- Authors
Sangirov, Gulomjon; Fu, Yongqing; Rakib Uddin, M.; Sangirov, Jamshid
- Abstract
In wireless communication an orthogonal frequency division multiplexing (OFDM) system is efficiently used in recent years. The OFDM method in wireless channels can create deep fades, as a result of multipath dispersive spreading. Thus, a channel state information is essential when coherent detection is involved in OFDM system. Therefore, in many coherent communication systems, a good channel estimation method is necessary for OFDM receiver design. And semi-blind channel estimation is one of these good channel estimation methods. Conventionally, a semi-blind channel estimation uses least square (LS) technique. In our paper, we applied the scaled least square (SLS) to enhance the performance of the semi-blind channel estimator. The SLS requires less knowledge of the channel second-order statistics and has improved performance than the LS technique. Simulation results show that the proposed SLS semi-blind channel estimation method enhances the performance reasonably than conventional semi-blind channel estimation.
- Subjects
ORTHOGONAL frequency division multiplexing; MIMO systems; WIRELESS communications; CHANNEL estimation; BLIND channel identification (Telecommunications); LEAST squares
- Publication
Wireless Networks (10220038), 2016, Vol 22, Issue 6, p2101
- ISSN
1022-0038
- Publication type
Article
- DOI
10.1007/s11276-016-1201-7