Abstract
Channel estimation is a key technology in improving the performance of the orthogonal frequency division multiplexing (OFDM) system. The pilot-based channel estimation method decreases the spectral efficiency and data transmission rate. Some conventional channel estimation methods cannot suppress the noise effectively, which affects the quality of the final received signals. To solve these two problems, a Haar wavelet decision feedback (DF) channel estimation method, also named the Haar wavelet method, is proposed in this paper. The proposed Haar wavelet method can suppress the noise existing at the estimated channel impulse response (CIR) effectively, based on a time-domain threshold which is a standard deviation of noise obtained by wavelet decomposition. At the same time, the proposed Haar wavelet method just requires inserting one block pilot symbol in front of the first OFDM symbol, which therefore improves the data transmission rate and spectrum efficiency greatly. Simulation results are shown to verify the effectiveness of the proposed Haar wavelet method in multipath channel propagation conditions.
Highlights
Orthogonal frequency division multiplexing (OFDM) system [1,2,3,4,5] has been widely used in modern wireless communication systems due to its high spectrum efficiency and strong multipath fading resistance ability
This paper proposes a Haar decision feedback (DF) channel estimation applied in wavelet-orthogonal frequency division multiplexing (OFDM)
This paper proposes a Haar wavelet decision feedback channel estimation method
Summary
Orthogonal frequency division multiplexing (OFDM) system [1,2,3,4,5] has been widely used in modern wireless communication systems due to its high spectrum efficiency and strong multipath fading resistance ability. The OFDM system utilizes the time delay characteristics of multipath fading channel which greatly simplifies the equalizer design. The OFDM technology can combine with the multiple-input multiple-output (MIMO) technology to enhance the channel capacity [6]. The wireless channel is an important part in OFDM systems. When the signal passes through the wireless fading channel, it will be disturbed by the additive white Gaussian noise (AWGN) which affects the quality of signal transmission and the performance of the system. Some papers [7,8] use Turbo coding with code rate of
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