Short-wave OFDM (Orthogonal Frequency Division Multiplexing) interference suppression joint channel estimation method based on compressed sensing

Abstract

The invention discloses a short-wave OFDM (Orthogonal Frequency Division Multiplexing) interference suppression joint channel estimation method based on compressed sensing, relating to the field of short-wave communication and the technical field of mobile communication. The method comprises the following steps: step 1, acquiring reception values YM*1 of M pilot signals transmitted from a transmitting end by a receiving end; step 2, performing strong single-tone interference suppression; and step 3, reconstructing a short-wave channel h according to a reconstruction algorithm MCoSaMP, thereby obtaining the short-wave channel frequency domain response H. According to the channel estimation method provided by the invention, fewer pilot symbols can be used compared with those in a traditional channel estimation method, and the frequency spectrum utilization rate is improved. Moreover, channel estimation error can be effectively reduced by suppressing strong single-tone interference in the short-wave channel, and the channel estimation performance is improved.

Description

technical field [0001] The invention relates to the field of short-wave communication and the field of mobile communication technology, in particular to a joint channel estimation method for suppressing interference of short-wave OFDM based on compressed sensing. Background technique [0002] Short-wave communication mainly relies on sky-wave propagation, and sky-wave propagation depends on the ionosphere’s reflection of electromagnetic waves. Therefore, the characteristics of short-wave channels are closely related to the changes in the ionosphere. The main factors affecting the ionosphere are the number of sunspots, seasons, day and night, the geographical location of the transmitter and receiver, etc. Due to the irregular movement of the ionosphere and the constant changes in the concentration and thickness of the ionosphere, electromagnetic waves will produce multiple waves during propagation. Effects such as path and Doppler, thus causing the shortwave channel to become...

AI Technical Summary

Problems solved by technology

However, the existing channel estimation techniques often only consider the influence of additive white Gaussian noise (AWG) on the system, and the LS estimation method does not even consider the influence of AWG

In fact, there are a lot of strong single-tone interference in the shortwave channel frequency band, which will directly destroy the OFDM signal structure. If the necessary interference suppression measures are not taken, it will affect the accuracy of channel estimation and ultimately reduce the transmission performance of the system.

In addition, the shortwave channel is actually a kind of sparse channel, and the traditional channel estimation methods (LS, MMSE) are only suitable for dense channels, which makes it not ideal for shortwave channel estimation performance, and needs to insert more pilot signals, so the spectrum low utilization

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