Method for identifying QAM mode based on channel estimation and equalization
A channel estimation and pattern recognition technology, applied in the field of digital signal transmission, can solve problems such as slow convergence speed and inability to meet equalization requirements, and achieve the effect of data equalization
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[0024] Since in the digital TV cable broadcasting (DVB-C) system, the receiving end is unknown to the information data transmitted by the transmitting end, a blind equalization algorithm must be used, usually a constant modulus algorithm (Constant Modulus Algorithm, CMA). The main feature of this algorithm is to converge the input data to the equalizer to the average energy circle (radius), but it brings a serious disadvantage, that is, to converge all the input data to the energy radius. Higher-order QAM modulation is particularly outstanding.
[0025] In order to solve this problem, the present invention discloses an easy-to-implement CMA algorithm. Wherein, the formula of the traditional blind equalization algorithm is as follows: e(n)=R 2 -|y(n)| 2 .
[0026] The present invention amends it, and the revised formula is as follows: e (n)=(R 2 +L*T 2 )-(L+1)*|y(n)| 2 .
[0027] In the above formula: R 2 = E ...
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