Least-Squares Storage-Channel Identification

Wavelet Based Identification of Second Order Linear System

In this paper, a wavelet based method is proposed to identify the constant coefficients of a second order linear system and is compared with the least squares method. The proposed method shows improved accuracy of parameter estimation as compared to the least squares method. Additionally, it has the advantage of smaller data requirement and storage requirement as compared to the least squares m...

Array Channel Identification Using Direction of Arrival Parametrization

Identiication of a radio channel to an antenna array, using a parametrization in direction of arrival and gains of signal paths, has been investigated. This channel estimate is compared to a least squares FIR channel identiication. For the scenarios studied , the parametrized method had better performance than the least squares method. The parametrized method is however more complex and relies ...

A least-squares approach to blind channel identification

Robustness of least-squares and subspace methods for blind channel identification/equalization with respect to effective channel undermodeling/overmodeling

The least-squares and the subspace methods are two well-known approaches for blind channel identification/ equalization. When the order of the channel is known, the algorithms are able to identify the channel, under the so-called length and zero conditions. Furthermore, in the noiseless case, the channel can be perfectly equalized. Less is known about the performance of these algorithms in the ...

Channel Estimation for Efficient Symbol Estimation Algorithm in High Mobility OFDM System

In Orthogonal Frequency Division Multiplexing (OFDM) systems, the effect of intercarrier interference (ICI) caused by time-selectivity causes severe performance degradation and can not be eliminated. Among the symbol estimation schemes to mitigate effect of ICI, Iterative Sequential Neighbor Search (ISNS) algorithm can achieve enhanced performance with a moderate complexity. It is assumed to kn...