Blind equalization processing on adaptive equalization algorithm
Ling Li
Abstract
Ling Li
Abstract
Conventional equalization algorithm in digital communication system generally require an initial training period during which a known data sequence is transmitted and synchronized at the receiver, so result in channel resource wasting and make the system more complex. For blind equalization algorithm, the inter symbol interference(ISI)can be eliminated without the initial training period. In this paper, a blind algorithm based on the cyclo stationary property of IF signal is advanced, which overcome the disadvantage of blind to phase information of CM algorithm, and it can converge efficiently in phase distortion and frequency error system.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Conventional equalization algorithm in digital communication system generally require an initial training period during which a known data sequence is transmitted and synchronized at the receiver, so result in channel resource wasting and make the system more complex. For blind equalization algorithm, the inter symbol interference(ISI)can be eliminated without the initial training period. In this paper, a blind algorithm based on the cyclo stationary property of IF signal is advanced, which overcome the disadvantage of blind to phase information of CM algorithm, and it can converge efficiently in phase distortion and frequency error system.
Key concepts: Blind equalization, Computer science, Algorithm, Equalization (audio), Blind deconvolution, Interference (communication), Channel (broadcasting), Adaptive equalizer