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Waveform Design And Performance Analysis Of Integrated Radar Communication

Posted on:2022-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:H ZhangFull Text:PDF
GTID:2518306353976609Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
With the progress and development of electronic information technology,radar and communication equipment are widely used in various fields.In some application scenarios,not only target detection but also data transmission is required.To meet these needs,simply stacking two devices that work independently of each other will lead to increased system redundancy and complexity.Therefore,an effective way to solve this problem is to share the radar and communication waveforms,that is,to use the integrated radar communication waveform in the It also completes the communication function while completing the radar function.In the military field,this method can reduce the volume of combat equipment and electromagnetic interference,improve hardware utilization and simplify system design,and has important research significance and practical value.This paper uses Orthogonal Frequency Division Multiplexing(OFDM)technology and phase-encoded signals to design integrated waveforms based on the shared waveforms of radar and communications.The main research work and results are as follows:This article summarizes the current research on integrated waveform design of radar communication,and divides it into two types: integrated sharing and integrated multiplexing.The design elements and evaluation indicators of the integrated shared waveform are studied,and the design principle of the integrated shared waveform of the single carrier system is simulated and analyzed from the perspective of time domain,frequency domain and ambiguity function.Based on the basic principles of OFDM technology,the design method of multicarrier radar communication common waveform is studied,which is essentially pulsed OFDM communication waveform,and its signal model is given.Aiming at the problem that OFDM signal has too high peak-to-average power ratio,the limiting technology and partial transmission sequence technology are studied,and the simulation results show that both technologies can effectively lower the peak-to-average power ratio of the signal.In the multicarrier transmission scenario,because the OFDM-based integrated waveform ambiguity function will be affected by the time variation of the transmission information,starting from the communication modulation information of the integrated waveform,the binary phase encoding Baker code and the multiphase are compared through simulation analysis.The autocorrelation characteristics and ambiguity functions of Frank codes and P4 codes.Among them,P4 codes have excellent autocorrelation characteristics,and complementary P4 codes can be obtained by cyclic shifting.Through the simulation and comparison of the integrated waveform of different modulation methods,the OFDM-based complementary P4 code integrated waveform has excellent radar detection performance.Aiming at the problem that the cyclic prefix causes the ambiguity function to produce "false peaks",which reduces the energy utilization rate and affects the performance of the radar,this paper proposes a method of using blank guard intervals to eliminate false targets without affecting the communication quality,and effectively reduce the radar ambiguity function PSLR.According to the integrated signal based on complementary P4 code designed in this paper,an integrated system suitable for its work is proposed,and the waveform parameters,operating mode and processing framework of the system are introduced in detail.Focusing on the integrated waveform based on the complementary P4 code,the detected target can be effectively distinguished by the pulse compression cascaded FFT method at the receiving end of the system.Finally,a comparative analysis of the integrated waveform communication performance of different modulation methods is made.
Keywords/Search Tags:Orthogonal frequency division multiplexing, Phase encoding, Radar communication integration, Waveform design
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