Frequency domain diversity combining and receiving 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 combining and receiving method, a system, a storage medium and a short-wave communication system. The frequency domain diversity combining and receiving method comprises the steps that: an equalizer in diversity branch frequency domain equalization adopts a linear equalization algorithm based on a minimum mean square error criterion for the first time, an equalization algorithm based on a soft interference cancellation criterion is not adopted for the first time, and equalizationof diversity branch signals is completed; combined soft information is determined to be the accumulative sum of soft information of the diversity branches according to a logarithm likelihood ratio definition of output logarithm likelihood ratio soft information in the determining output soft information combination; a soft input and soft output decoder in combined result decoding finishes decodingby adopting a minimum sum decoding algorithm; and the overall iteration frequency and the decoding checksum are judged in the overall iteration control and decoding output, and whether to continue iteration or output a decoding result is determined. According to the frequency domain diversity combining and receiving method, the inter-symbol interference of the signals is eliminated, the signal-to-noise ratio of the signals is enhanced, and the short-wave communication quality is improved.

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.

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