Performance and Complexity Comparison of Channel Estimation Algorithms for OFDM System
نویسنده
چکیده
To mitigate the multipath delay effect of the received signal, the information of the time-varying channel is required at the receiver to determine the equalizer co-efficients. In this paper two basic algorithms, known as Linear Minimum Mean Square (LMMSE) and Least Square Error (LSE), are discussed which make use of the channel statistics in time domain. To reduce the complexity, different variants of these algorithms are also discussed. Channel Impulse Response (CIR) samples and channel taps are used to compare the performance and complexity. MATLAB simulations are carried out to compare the performance in terms of Mean Square Error (MSE) and Symbol Error Rate (SER) of these algorithms for different modulation techniques.
منابع مشابه
Channel Effect Compensation in OFDM System under Short CP Length Using Adaptive Filter in Wavelet Transform Domain
Channel estimation in communication systems is one of the most important issues that can reduce the error rate of sending and receiving information as much as possible. In this regard, estimation of OFDM-based wireless channels using known sub-carriers as pilot is of particular importance in frequency domain. In this paper, channel estimation under short cyclic prefix (CP) in OFDM system is con...
متن کاملChannel Estimation and CFO Compensation in OFDM System Using Adaptive Filters in Wavelet Transform Domain
Abstarct In this paper, combination of channel, receiver frequency-dependent IQ imbalance and carrier frequency offset estimation under short cyclic prefix (CP) length are considered in OFDM system. An adaptive algorithm based on the set-membership filtering (SMF) algorithm is used to compensate for these impairments. In short CP length, per-tone equalization (PTEQ) structure is used to avoid i...
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 کاملProposed Pilot Pattern Methods for Improvement DVB-T System Performance
Recently, orthogonal frequency division multiplexing (OFDM) has been extensively used in communications systems to resist channel impairments in frequency selective channels. OFDM is a multicarrier transmission technology in wireless environment that use a large number of orthogonal subcarriers to transmit information. OFDM is one of the most important blocks in digital video broadcast-terrestr...
متن کاملEmpirical 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 کاملA Low Complexity Forward Error Correction for PAPR reduction in OFDM Systems
In this paper, a Peak to Average Power Ratio (PAPR) reduction technique in Orthogonal Frequency Division Multiplexing (OFDM) systems is proposed. This technique uses error correction capability of channel coding to reduce the PAPR.The coded bits at the input of OFDM modulator are separated into two groups of the Most Significant Bits (MSB) and the LeastSignificant Bits (LSB). The bits are mappe...
متن کامل