Performance Analysis of Generalized Zero-Padded Blind Channel Estimation Algorithms

Performance Analysis of Channel Estimation Algorithms

Channel estimation plays an important role in wireless communication due to its random nature of the channel. Randomness creates the constructive or destructive fading. The combination of Orthogonal frequency-division multiplexing (OFDM) with multiple antennas at both the base station and mobile terminal converts frequency selectivity of the channel fading into flat fading parallel sub-channels...

Asymptotically optimal blind fractionally spaced channel estimation and performance analysis

When the received data are fractionally sampled, the magnitude and phase of most linear time-invariant FIR communications channels can be estimated from second-order output-only statistics. We present a general cyclic correlation matching algorithm for known order FIR blind channel identification that has closed-form expressions for calculating the asymptotic variance of the channel estimates. ...

Performance Analysis of Adaptive Blind Equalizers Algorithms

In this paper, we discuss the performance of Blind Equalization algorithms, which can deal with the cases that the input signals are correlated and decrease the filtering error. We describe the algorithm process and analysis the error performance and computational complexity and an example of adaptive blind equalization is given to verify these algorithms. Results and conclusions are made which...

Blind channel estimation using the second-order statistics: algorithms

Most second-order moment-based blind channel estimators belong to two categories: i) optimal correlation/spectral fitting techniques and ii) eigenstructure-based techniques. These two classes of algorithms have complementary advantages and disadvantages. In this paper, a new optimization criterion referred to as the joint optimization with subspace constraints (JOSC) is proposed to unify the tw...

Turbo Demodulation of Zero-Padded OFDM Transmissions