The recent digital transmission systems impose the application of channel equalizers with short training time and high tracking rate. These requirements turn our attention to adaptive algorithms, which converge rapidly. From this point of view the best choice is the recursive least squares (RLS) equalizer. Unfortunately this equalizer has high computational complexity and stability problems. Th...

We approach the nonlinear decision feedback equalization problem from an H estimation point of view. Using the standard (and simplifying) assumption that all previous decisions are correct, we obtain an explicit parameterization of all H optimal decision feedback equalizers. In particular, under the above assumption, we show that MMSE decision feedback equalizers are H optimal. The H approach a...

The performance of one blind channel identification algorithm and three blind equalizers is studied. The main concern is in investigating their behavior when the communication channel has little energy in the beginning of its response. In our previous experiments, the equalizers’ performance has not been satisfactory for such channels. All considered equalizers are based on a pseudo-inversion o...

The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive algorithms is the LMS algorithm. We present in this paper an multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the stan...

Second-order statistics of the received signal can be used to equalize a communication channel without knowledge of the transmitted sequence. Blind zero-forcing (ZF) and minimum mean-square error (MMSE) equalization can be achieved with linear prediction-error filtering. The equivalence with the equalizers derived by Giannakis and Halford [1] is shown and adaptive predictors that result in a la...

The objective of this paper is t o present a new structure f o r an adaptive nonlinear equalizer f o r digital transmission over a nonlinear satellite channel with PSK modulation. The adaptive nonlinear equalizer is based o n a discrete frequencydomain third-order Volterra filter with the multidimensional overlap-save filtering technique, and o n the block least mean square (BLMS) algorithm f o...

Most existing zero-forcing equalization algorithms rely either on higher than second-order statistics or on partial or complete channel identification. We describe methods for computing fractionally spaced zero-forcing blind equalizers with arbitrary delay directly from second-order statistics of the observations without channel identification. We first develop a batch-type algorithm; then, ada...

The adaptive algorithm has been widely used in the digital signal processing like channel estimation, channel equalization, echo cancellation, and so on. One of the most important adaptive algorithms is the RLS algorithm. We present in this paper n multiple objective optimization approach to fast blind channel equalization. By investigating first the performance (mean-square error) of the stand...

Carrier aggregation can not only increase communication bandwidth, but also improve spectrum efficiency and security. Considering the non-contiguous multi-subspectrum for division transmission of arbitrary signal, paper analyzes performance impact on demodulation aggregated signal in presence subspectral amplitude phase errors receiver. The theoretical bit-error rates (BER) quaternary phase-shi...