The Kalman filter is a set of mathematical equations that provides an efficient computational [recursive] means to estimate the state of a process, in a way that minimizes the mean of the squared error. The filter is very powerful in several aspe

Here we design the minimum mean-squared error (MMSE) equalizer coefficients {q[k]}assuming that the input symbols {a[n]} and the noise { ˜ w[k]} are white random sequencesthat are uncorrelated with each other.-Here we design the minimum mean-squa

An Adaptive Block-Based Eigenvector Equalization for Time-Varying Multipath Fading Channels.In this paper we present an adaptive Block- Based EigenVector Algorithm (BBEVA) for blind equalization of time-varying multipath fading channels. In addit

我们基于Jake模型重新推导了新的自相关函数，并基于新的自相关函数提出了一种通用最小均方误差（MMSE）信道估计器。 因此，由于其固有的鲁棒性，所提出的MMSE信道估计器可以被用于各种信道场景。 MMSE信道估计器的性能是通过实践DVB-T标准进行研究的，该标准表明MMSE信道估计器能以低复杂度实现非凡的最小平方误差性能(Based on the Jake model, we derive the new autocorrelation function and propose a univer