Abstract

The severe multipath delay of the underwater acoustic channel, the Doppler shift, the severe time-varying characteristics, and sparsity make it difficult to obtain the channel state information in the channel estimation of the virtual time-reverse mirror OFDM, which makes the virtual time mirror subcarrier orthogonality easy to suffer damage; the focusing effect is not obvious. Therefore, this paper proposes a virtual time-inverse OFDM underwater acoustic channel estimation algorithm based on compressed sensing. The algorithm extracts the detection signal, constructs a sparse signal model of the delay-Doppler shift, and then performs preestimation of the underwater acoustic channel based on the compressed sensing theory. Then, by predicting the timing of the underwater acoustic channel and convolving with the received signal, the algorithm improves the focusing effect better. Experimental simulations show that compared with LS and OMP algorithms, the algorithm can accurately recover channel information from a small number of observations, reduce the bit error rate by 10%, and improve the accuracy of channel estimation and the time-inverse OFDM performance of virtual time.

Highlights

  • Underwater acoustic communication is an important means to achieve underwater integrated sensing and information interaction

  • This paper proposes a passive time-inverse Orthogonal Frequency Division Multiplexing (OFDM) underwater acoustic channel estimation technique based on compressed sensing

  • This paper proposes a virtual time-inverse OFDM underwater acoustic channel estimation algorithm based on compressed sensing

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Summary

Introduction

Underwater acoustic communication is an important means to achieve underwater integrated sensing and information interaction. It can be seen that due to multipath delay, the Doppler shift, severe time-varying characteristics, and sparsity, the channel estimation method on land cannot be directly moved to underwater, and the virtual time-inverse OFDM technology faces a huge challenge in getting channel estimation information. In a timevarying underwater acoustic channel with a large multipath delay and severe Doppler frequency shift, the orthogonality between subcarriers is destroyed, resulting in a decline in communication performance In response to this phenomenon, time-inversion technology is introduced into OFDM underwater acoustic communication to improve subcarrier focusing ability. For the Doppler frequency shift, multipath delay and time-frequency characteristics, and channel sparsity of underwater acoustic channel, this paper reconstructs the delay-Doppler based on the OFDM communication technology based on compressed sensing channel estimation. Frequency-shifted sparse signal model, combined with the virtual time reversal technology, enhances space-time-focusing effects and improves time-varying effects in data blocks

System Model
Compressed Sensing-Based Virtual TimeInverse OFDM Channel Estimation Method
Signal Reconstruction
Simulation
Findings
Conclusion
Full Text
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