A novel least-squares (LS) scheme to estimate the channel frequency response (CFR) for orthogonal frequency division multiplexing (OFDM) over slow fading channels is presented. We take the advantage of slow fading to use repeated OFDM training blocks. This not only can facilitate the LS formulation but also improve the channel estimation performance as compared to the conventional one block LS ...

A large number of pilots are utilized to acquire channel information in traditional channel estimation for Orthogonal Frequency Division Multiplexing (OFDM) system, which leads to lower spectrum efficiency. For exploiting the sparse channel characteristics of 3GPP multipath channels, we employ the Compressed Sensing (CS) approach for channel estimation. Two CS-based recovery algorithms, Orthogo...

Wazir Assistant Professor, ECE Department, PMCE, Kami, Sonipat In modern wireless communication systems, a combination of multipleinput multiple-output (MIMO) system with the space time block coding (STBC) can be used in conjunction with receiver and transmitter diversity to achieve high data rate and & better spectral efficiency in order to increase the communication system’s performance. In t...

In this paper, we focus on pilot-aided channel estimation methods in the context of OFDM-based WLANs with Multiple Transmit Multiple Receive (MTMR) antennas, and we compare several solutions together with several pilot designs in a realistic context. In particular, we take into account null subcarriers as specified in the WLANs standards. We consider channel estimation based on the Minimum Mean...

The objective of this study is improving channel estimation accuracy in OFDM system because channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential to improve the channel estimation for more reliable communications. OFDM system was chosen in this study because it has been widely used today due to its h...

This paper describes a least squares (LS) channel estimation scheme for multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems based on pilot tones. We first compute the mean square error (MSE) of the LS channel estimate. We then derive optimal pilot sequences and optimal placement of the pilot tones with respect to this MSE. It is shown that the optimal...

In this paper, a channel estimator based on an adaptive neuro fuzzy inference system (ANFIS) is proposed for the purpose of estimating channel frequency responses in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. To see the performance of our proposed channel estimation method, five different techniques including well-known pilot-based estima...

An important step in the asynchronous multi-sensor registration problem is to estimate sensor range and azimuth biases from their noisy asynchronous measurements. The estimation problem is generally very challenging due to highly nonlinear transformation between the global and local coordinate systems as well as measurement asynchrony from different sensors. In this paper, we propose a novel no...