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Research On Power Allocation Algorithm Of Multicarrier Signal For Integrated Radar And Communication System

Posted on:2022-02-01Degree:DoctorType:Dissertation
Country:ChinaCandidate:T W TianFull Text:PDF
GTID:1488306524470884Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
As the two main applications of modern electromagnetic theory,radar and communication systems have developed independently for a long time and formed their theoretical systems.The miniaturization and networking trends of radar and communication have led to an increasing crowding of the wireless spectrum resource,and the concept of radarcommunication integration is proposed under this background.Based on the difference of transmitter/signal types,the research of integrated radar-communication system mainly focuses on the two directions of spectrum coexistence integrated system(SCIS)and signal sharing integrated system(SSIS).The integration of radar and communication,which has important research significance and practical value,can improve the utilization of spectrum resources and significantly reduce system redundancy,energy consumption and so on.Power allocation is the core technology for the integration of radar and communication.In terms of different tasks,scenarios,and resource constraints,the performances of radar and communication are optimized based on the constrained optimization theory.Also,compared with the signal-carrier signal,the multi-carrier signal has the advantages of high spectrum utilization,strong anti-interference,high practicability and so on.Hence,the problem of multi-carrier signal power allocation(MCSPA)for the integration of radar and communication is studied in this thesis and the main contributions are as follows:1.The power allocation algorithm of triple alternating maximization(TAM)is proposed,which obtains the local closed-form of the communication power allocation scheme under partial spectral co-existence.The influence on communication performance caused by the radar jamming signal of co-frequency is effectively reduced,which ensures the coexistence of radar and communication spectrum.The problem of communication MCSPA for SCIS is solved.2.The power allocation algorithm of alternating direction method of inner-outer loop(ADMIOL)is proposed,which obtains the local closed-forms of radar and communication power allocation schemes under partial spectral co-existence.By effectively reducing the influence of radar and communication mutual interference,the overall performance of SCIS under the coupling of radar-communication performance is improved.The problem of the joint allocation of multi-carrier signal power(JAMSP)for the SCIS is solved.3.The dual function realization algorithm of sequential information embedding(SIE)is proposed,under the premise that the radar and communication functions are realized simultaneously,the radar signal-to-interference-noise ratio is effectively improved.On this basis,the power allocation algorithm of iterative non-convex maximization(INCM)is proposed,which obtains the local optimal solution of power allocation scheme for the single-user SSIS.Under the premise that the radar and communication functions are realized simultaneously,the single-user communication service quality requirement is met,and the radar signal-to-interference-noise ratio is effectively improved.The problem of integrated MCSPA for the single-user SSIS is solved.4.The power allocation algorithm of alternating direction method of sequential relaxation programming(ADMSRP)is proposed,which obtains the local optimal solution of power allocation scheme for the multi-user SSIS.Under the premise of simultaneous realization of target detection and multi-user communication,the multi-user communication service quality requirements are met,and the radar Kullback-Leibler divergence is effectively improved.The problem of integrated MCSPA for the multi-user SSIS is solved.The effectiveness of the above algorithms is verified by both theory and simulation analysis.The simulation results demonstrate that these algorithms can realize adaptive power allocation for the integrated radar-communication system,which effectively improves the overall performance.
Keywords/Search Tags:Radar-communication integration, spectrum co-existence, signal sharing, power allocation, constrained optimization theory
PDF Full Text Request
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