Research on channel estimation for OFDM receiver based on IEEE 802.11a

Abstract

Channel estimation is very important for suppressing interference and de-multiplexing signals. First, the structure of OFDM receiver system based on IEEE 802.11 a is established. Then, least square (LS) based channel estimation algorithm is mainly studied. Combing with the character of the preamble frame in IEEE 802.11a protocol, by using of the two long training symbol sequences in the frame preamble and de-noising technology with filters, a novel simple method to estimate channel is proposed. Simulations are done to the algorithm on some aspects such as the mean square error (MSE), constellation map of the demodulated data, bit error rate (BER) and the performance after de-noising with filters. Results show that this method could enhance the performance of the receiver in a certain level. At last, performances of the whole transceiver system based on IEEE 802.11a standard are simulated. It can be concluded that the performance of the OFDM receiver system is able to meet the requirement of IEEE 802.11a standard. Furthermore, the results prove the validity of our research on OFDM receiverpsilas channel estimation.