Abstract
Initial estimation is a considerable issue in channel estimation techniques, since all of the following processes depends on it, which in this paper its improvement is discussed. Least Square (LS) method is a common simple way to estimate a channel initially but its efficiency is not as significant as more complex approaches. It is possible to enhance channel estimation performance by using some methods such as principal component analysis (PCA), which is not prevalent in channel estimation, and its adaptation to channel information can be challenging. PCA method improves initial estimation performance by projecting data onto direction of eigenvectors by means of using simple algebra. In this paper, channel estimation is examined in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system, with significant advantages such as an acceptable performance in frequency selective fading channel. Moreover the proposed channel estimation method manipulates the benefits of MIMO channel by using the information, gained by all channels to estimate the information of each receiver.
Highlights
Multiple Input Multiple Output system, uses multiple antennas at both receiver and transmitter, to increase channel capacity [1] and link reliability
The proposed channel estimation method manipulates the benefits of MIMO channel by using the information, gained by all channels to estimate the information of each receiver
OFDM technique is appropriate for frequency selective environments due to its channel conversion to parallel flat fading subchannels [2] simplifying receiver structure, it leads to high spectral efficiency
Summary
Multiple Input Multiple Output system, uses multiple antennas at both receiver and transmitter, to increase channel capacity [1] and link reliability. The other one is the training based channel estimation [4], using known training data The latter method is chosen as it is applicable in fast time varying channels and mobile wireless systems. In this approach, pilots are inserted among the data at the transmitter, extracted at receiver to estimate channel and to compensate channel fading. In this paper the initial channel estimation technique, proposed in [8] is extended, but at first the method, used in [8], is described briefly, and its improvement by PCA method is explained in 3.2, results are shown, followed by conclusion
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