In modern electronic countermeasures,grouping of multiple joint radar and communication systems can improve the detection efficiency and collaborative detection capability of the single joint radar and communication system.Due to the high peak to average power ratio of the joint radar and communication signal itself,the signal is easy to be intercepted,and the system's survivability is seriously threatened.In order to improve the Low Probability of Intercept(LPI)performance of the joint radar and communication signal,a time-frequency structure of grouping LPI joint radar and communication signal with communication subcarrier grouping power optimization and radar subcarrier interleaving equal power optimization under the framework of filter bank multicarrier is proposed in this paper.Then,from the perspective of the information theory,the paper unifies the performance assessment metrics of the system;On this basis,minimizing the intercepted information divergence of the interceptor is taken as the optimization objective,and an LPI optimization model of the group network joint radar and communication signal is established.The paper converts this optimization model into a convex optimization problem and solves it using the Karush-Kuhn-Tucker condition.The simulation results show that the radar interference of the network LPI joint radar and communication signal designed in this paper has inter-node radar interference as low as nearly-60 dB when detecting moving targets,and the communication bit error rate satisfies 10-6 order of magnitude,while the signal-to-noise ratio of the intercepted signal is effectively reduced.
关键词
低截获概率/探通一体化/组网系统/滤波器组多载波/信息论
Key words
Low Probability of Intercept(LPI)/Joint radar and communication/Network system/Filter Bank Multi-Carrier(FBMC)/Information theory
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