Frequency-domain diversity combined reception method, system, storage medium, and short-wave communication system

Abstract

The invention belongs to the technical field of wireless communication, and discloses a frequency domain diversity combination receiving method, system, storage medium, and shortwave communication system. The equalizer in the diversity branch frequency domain equalization adopts the linear equalization algorithm based on the minimum mean square error criterion for the first time , it is not the first time that the equalization algorithm based on the soft interference cancellation criterion is used to complete the equalization of each diversity branch signal; in the combination of equalized output soft information, according to the definition of the log likelihood ratio of the output soft information, determine the combined soft The information is the accumulation and summation of the soft information of each diversity branch. The soft-input and soft-output decoder in the combined result decoding uses the minimum sum decoding algorithm to complete the decoding; in the overall iteration control and decoding output, the overall iteration number and decoding checksum are judged to determine whether to continue iteration or output the decoding result . The invention eliminates the intersymbol interference of the signal, enhances the signal-to-noise ratio of the signal, and improves the short-wave communication quality.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a frequency domain diversity combination receiving method, system, storage medium and short-wave communication system. Background technique [0002] At present, in short-wave communication, there are two forms of signal propagation: ground wave propagation and sky wave propagation. The signal propagated by ground wave is relatively stable and less affected by weather, but the propagation distance is only tens of kilometers. Sky-wave propagation mainly relies on ionospheric reflection, which has natural transmission advantages and is the main form of short-wave communication. However, the reflection characteristics of the ionosphere are random and uncertain. The channel of short-wave communication is a typical time-varying channel, so that after the signal is reflected by the ionosphere, it will still be affected by noise interference, multipath effect,...

AI Technical Summary

Problems solved by technology

[0005] (1) Existing technology one adopts MMSE criterion with greater complexity and larger calculation load

[0006] (2) Existing technology 2 has a large amount of data calculation, high complexity, and is not easy to implement, and the performance improvement is small under the same conditions

[0007] The difficulty of solving the above problems and defects is: the filter length of the equalizer is N, and the channel length is M L , the complexity of the equalization algorithm using only the MMSE criterion is While the MMSE criterion is adopted for the first time, the complexity of the equalization algorithm that adopts the SIC criterion for the first time is O(N+M L )

The time-domain data is convolved in the filter of the equalizer, while the frequency-domain data is converted into a dot product calculation, and the amount of calculation is significantly reduced.

Images