We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA) cost function in the presence of noise. Local minima move in a particular direction as the noise power increases and their number may be eventually reduced. In such cases the performance of FSE-CMA may fail to adequately reduce intersymbol interference (ISI), but achieve an approximated MMSE by reducing its equalizer noise gain under certain constraints. We analyze the mechanism of relocation of the FSE-CMA cost function local minima in terms of the auto-correlation matrix of the sub-channel convolution matrix and its eigenvectorsUpprättat; 1998; 20070107 (ysko
A family of algorithms is presented for the adaptation of a fractionally spaced FIR channel equalise...
A family of algorithms is presented for the adaptation of a fractionally spaced FIR channel equalise...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...
We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA)...
We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA)...
We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA)...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
The constant modulus algorithm (CMA) applied to a fractionally spaced equaliser, with length and zer...
The constant modulus algorithm (CMA) applied to a fractionally spaced equaliser, with length and zer...
Finite length CMA equalizers contain undesired minima termed Length Dependent Local Minima (LDLM). W...
We propose a new family of mixed constant modulus algorithms for the elimination of local minima ass...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...
Abstract – In many high-data-rate band limited digital communication systems, the transmission of a ...
A family of algorithms is presented for the adaptation of a fractionally spaced FIR channel equalise...
A family of algorithms is presented for the adaptation of a fractionally spaced FIR channel equalise...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...
We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA)...
We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA)...
We study the local minima relocation of the fractionally spaced constant modulus algorithm (FSE-CMA)...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
We examine the behavior of the leaky constant modulus algorithm (L-CMA), which is a special case of ...
The constant modulus algorithm (CMA) applied to a fractionally spaced equaliser, with length and zer...
The constant modulus algorithm (CMA) applied to a fractionally spaced equaliser, with length and zer...
Finite length CMA equalizers contain undesired minima termed Length Dependent Local Minima (LDLM). W...
We propose a new family of mixed constant modulus algorithms for the elimination of local minima ass...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...
Abstract – In many high-data-rate band limited digital communication systems, the transmission of a ...
A family of algorithms is presented for the adaptation of a fractionally spaced FIR channel equalise...
A family of algorithms is presented for the adaptation of a fractionally spaced FIR channel equalise...
The constant modulus algorithm (CMA) is a popular blind equalization algorithm. A common device used...