In this paper, we show an implementation of orthogonal frequency-division multiplexing (OFDM) systems including advanced Two-Dimensional (2D) interpolation-based channel estimation. The presented channel estimation technique improves the performance of OFDM system in terms of bit error rate (BER). The technique is based on planar equations to find accurate channel information of carriers in the...

In present of multi-path effect, the inter symbol interference (ISI) always exists in the OFDM/OQAM system and the preamble based channel estimation for the conventional orthogonal frequency division multiplex with cyclic prefix (CP-OFDM) is not feasible any more. Considering the characteristic of the extended Gaussian function (EGF), we propose two modified preamble based channel estimation by...

Modern Intelligent Transportation System (ITS) uses the wireless communication technologies to increase the traffic safety and the transportation efficiency. However, the doppler effect and the multipath fading problems severely attenuate the received signal in the vehicle communication environments. Therefore, channel estimation is a critical issue should be solved properly to improve the Bit ...

Channel estimation problem is one of key technical issues in time-variant multiple-input multiple-output (MIMO) communication systems. To estimate the MIMO channel, least mean square (LMS) algorithm was applied to adaptive channel estimation (ACE). Since the MIMO channel is often described by sparse channel model, such sparsity could be exploited and then estimation performance could be improve...

An enhanced power-line communications channel estimation method in discrete multi-tone (DMT) communication system based on sparse Bayesian regression is presented. By exploiting a probabilistic Bayesian learning framework, the sparse model used provides an accurate model for channel estimation in presence of noise and consequently equalization. We consider frequency domain equalization (FEQ) us...

ABSTRACT—We investigate a pilot-symbol based channel estimation scheme that uses a combination of Maximum-Likelihood (ML) estimation and Wiener filtering. Besides the optimum Wiener filter, we also investigate suboptimum Wiener filters which offer a better robustness against path delay time estimation errors and/or have a lower complexity. The mean squared error (MSE) of the channel impulse res...

For the coherent reception of DS-CDMA signals, this paper proposes a new adaptive channel estimation scheme using multiple sets of adaptive filter tap weights, each set being used for channel estimation at different symbol position. For updating each set of tap weights using the normalized least mean square (NLMS) algorithm, a block of known pilot symbols is time-multiplexed with the data modul...

Abstract In direct sequence code division multiple access (DS-CDMA), frequency-domain equalization (FDE) based on minimum mean square error (MMSE) criterion can be applied to exploit the channel frequency-selectivity and therefore much improved bit error rate (BER) performance than using the conventional rake combining. MMSE-FDE requires accurate frequency-domain channel estimation. In this pap...

SNR (Signal to Noise Ratio) estimation is a very important parameter for channel estimation of the communication system. In this paper, some SNR estimation methods of digital modulation system are applied and improved in FM modulation system. Then we summarize several SNR estimation methods (EHM (Envelope High order Moment method), SE (Spectrum Estimation method), FD (Frequency Domain method), ...