Millimeter wave application-oriented improved constant modulus blind equalization method

Abstract

The invention provides a millimeter wave application-oriented improved constant modulus blind equalization method, which comprises the following steps of: sampling a received baseband signal, sendingthe sampled baseband signal into an equalizer, calculating an error function by adopting a CMA algorithm according to the output of the equalizer, updating an equalizer coefficient according to the error function, and iterating until correct data is recovered. The method does not need to depend on a training sequence, and can effectively improve the channel utilization efficiency in high-speed continuous communication. Real part and imaginary part parallel processing is adopted, and phase rotation can be eliminated while amplitude distortion is corrected; coefficient updating is carried out bycombining a leakage algorithm and a high-order cumulant thought, and residual errors after iteration of an existing algorithm can be improved under the condition that stepping coefficients are the same.

Description

technical field [0001] The invention relates to the field of broadband wireless communication digital signal processing, and is mainly oriented to the problem of deterioration of transmission quality caused by phenomena such as crosstalk between symbols and phase rotation during broadband continuous data transmission in a wireless communication system, especially a method that does not rely on training sequences and is based on received signals. The method of directly performing blind channel estimation combined with leakage algorithm and high-order cumulant idea for compensation is used for broadband digital signal processing of millimeter-wave wireless communication. Background technique [0002] In the actual system, due to the finite length truncation of the filter and the deviation of the timing sampling time, it will cause the superposition of the front and back tails between the symbols, thus causing the intersymbol crosstalk. The in-band amplitude and phase of broadb...

AI Technical Summary

Problems solved by technology

Aiming at the deterioration of transmission quality caused by inter-symbol crosstalk, phase rotation and other phenomena in the process of broadband continuous data transmission in wireless communication systems, the real and imaginary parts are parallelized, and the leakage algorithm and high-order cumulant ideas are introduced to improve the existing CMA The algorithm cannot correct the phase deflection and the residual error is large after iteration

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