Channel Estimation in MIMO-OFDM System
DOI:
https://doi.org/10.3126/njst.v14i2.10421Keywords:
mean square error, symbol error rate, least square error, minimum mean square error, Bit error rateAbstract
There are no limit of human desire, so day by day we need much higher data speed to facilitate our need but every physical resource like frequency band, transmit signal strength are finite. Within the given limited resource, higher data speed is accomplished by new proficiency called Multiple Input Multiple Output (MIMO), Orthogonal Frequency Division Multiplexing (OFDM) system. MIMO-OFDM fulfills the high data rate requirement through spatial multiplexing gain and improved link reliability due to antenna diversity gain. With this technique, both interference reduction and maximum diversity gain are achieved by increasing number of antennae on either side. Received signal in MIMO-OFDM system is usually distorted by multipath fading. In order to recover the transmitted signal correctly, channel effect must be estimated and repaired at receiver. In this paper the performance evaluating parameter mean square error and symbol error rate of least square error, minimum mean square error and DFT based channel estimation methods are estimated and appropriate solution is recommended. Furthermore, comparison among their characteristics is simulated in MATLAB and useful conclusion is delineated.
DOI: http://dx.doi.org/10.3126/njst.v14i2.10421
Nepal Journal of Science and Technology Vol. 14, No. 2 (2013) 97-102
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Authors retain copyright and grant the journal right of first publication.