Research On Resource Allocation And Equalizer Optimization Algoritnms For Underwater Acoustic Cooperative Communication

With the continuous improvement of the ocean strategic position in our country,related research around the ocean has received extensive attention,among which underwater acoustic communication technology is one of the key research objects.However,the underwater acoustic channel is known as one of the most complex channels.It has the characteristics of large transmission delay,complex and changeable environment,and serious multipath effects.These factors seriously affect the quality of underwater acoustic communication.In order to overcome these problems and improve the link reliability of the underwater acoustic channel,this article conducts an thorough study on the underwater acoustic cooperative communication,considering two key issues in the underwater acoustic cooperative communication,relay selection and power allocation,and on the basis of research the influence of time-varying characteristics on the performance of cooperative communication,the main content of this paper is as follows:Firstly,we use BELLHOP to study different underwater environments,including the impact of different sea depths,transmission distances,and transmitter receiver positions on the underwater acoustic channel.On this basis,the main research content of this paper is done.The reserve of basic knowledge,including forwarding methods,combination methods,and different equalization algorithms in cooperative communication.Secondly,in view of the poor performance of point-to-point underwater acoustic channels,research on underwater acoustic cooperative communication is carried out in a suitable underwater acoustic environment.In the problem of relay selection,two indicators are considered for optimization at the same time,namely,the sum of end-to-end transmission delays and the stable mean square error.These two indicators not only take into account the large delay of the underwater acoustic channel,but also take into account the performance of the entire system,and there is no need to obtain channel state information of the channel.This paper compares the overall performance of the selected optimal relay with other relays,and the results show that the multi-attribute relay selection algorithm is feasible.In the power allocation problem,this paper studies the power allocation algorithm based on game theory without the need of channel state information,and verifies its effectiveness.Finally,the receiving end in cooperative communication will receive signals from the source node and the relay node.The equalizer structure adopts a multibranch equalizer structure and processes two signals at the same time.The last chapter of this thesis will study the multi-branch DFE-DPLL as the receiver structure,and under this receiver structure,study the NLMS algorithm,and finally compare the performance through analysis and simulation.