Channel Estimation for Orthogonal Frequency Division Multiplexing
نویسنده
چکیده
The Channel estimation is one of the fundamental issues of OFDM system design. Techniques that are used for channel estimation of OFDM system are least-square (LS) and minimum-mean-square-error (MMSE) techniques. The LS Estimator algorithm is very simple, but it may be subject to noise enhancement, so the performance is worse. The MMSE Estimator gives better performance than LS and MSE is minimized. In this thesis, DFT-based channel estimation technique is used to increase the performance of LS and MMSE Estimator using different interpolation techniques like Linear interpolation, Spline interpolation. When higher order interpolation is used then it improves the performance but complexity also increases. For best system SNR should be high. Channel Estimation in SISO and MIMO-OFDM using BPSK modulation can also be calculated.
منابع مشابه
Empirical Mode Decomposition based Adaptive Filtering for Orthogonal Frequency Division Multiplexing Channel Estimation
This paper presents an empirical mode decomposition (EMD) based adaptive filter (AF) for channel estimation in OFDM system. In this method, length of channel impulse response (CIR) is first approximated using Akaike information criterion (AIC). Then, CIR is estimated using adaptive filter with EMD decomposed IMF of the received OFDM symbol. The correlation and kurtosis measures are used to sel...
متن کاملQuadrature Amplitude Modulation All Optical Orthogonal Frequency Division Multiplexing-dense Wavelength Division Multiplexing-optical Wireless Communication System under Different Weather Conditions
This paper proposes an analytical model for evaluating the performance of dense wavelength division multiplexing (DWDM) for all optical orthogonal frequency division multiplexing (AO-OFDM) optical wireless channel. The investigated performance for proposed system is evaluated for the parameters bit error rate (BER) and Q factor .The constellation diagrams, and bit error rate (BER) of the recei...
متن کاملImproved Channel Estimation for DVB-T2 Systems by Utilizing Side Information on OFDM Sparse Channel Estimation
The second generation of digital video broadcasting (DVB-T2) standard utilizes orthogonal frequency division multiplexing (OFDM) system to reduce and to compensate the channel effects by utilizing its estimation. Since wireless channels are inherently sparse, it is possible to utilize sparse representation (SR) methods to estimate the channel. In addition to sparsity feature of the channel, the...
متن کاملAn Efficient Hierarchical Modulation based Orthogonal Frequency Division Multiplexing Transmission Scheme for Digital Video Broadcasting
Due to the increase of users the efficient usage of spectrum plays an important role in digital terrestrial television networks. In digital video broadcasting, local and global content are transmitted by single frequency network and multifrequency network respectively. Multifrequency network support transmission of global content and it consumes large spectrum. Similarly local content are well ...
متن کاملChannel Estimation in MIMO-OFDM Systems
In this work various channel estimation algorithms of the Orthogonal Frequency Division Multiplexing (OFDM) and Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing (MIMO-OFDM) are studied. The result of Linear Minimum Mean Square Error (LMMSE) channel estimation algorithm was compared with the Least Squares (LS) and Minimum Mean Square Error (MMSE) for both OFDM and MIMO-O...
متن کاملA DFT based channel estimation technique in orthogonal-frequency- division-multiplexing (OFDM): A Review
Channel estimation is one of the most significant technologies in orthogonal-frequency-divisionmultiplexing(OFDM) . Inter-carrier-interference (ICI) occurs in OFDM which must be removed. There are various methods to reduce ICI in OFDM . Channel estimation techniques are used to investigate to reduce ICI in OFDM .In this paper we will discuss Channel estimation methods and DFT based channel esti...
متن کامل