Chen Jun, Wang Jie, Zhang Yidong, Wang Fei, Zhou Jianjiang
School of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Entropy (Basel). 2022 Oct 24;24(11):1515. doi: 10.3390/e24111515.
In this paper, the design of low probability of intercept (LPI) radar waveforms considers not only the performance of passive interception systems (PISs), but also radar detection and resolution performance. Waveform design is an important considerations for the LPI ability of radar. Since information theory has a powerful performance-bound description ability from the perspective of information flow, LPI waveforms are designed in this paper within the constraints of the detection performance metrics of radar and PISs, both of which are measured by the Kullback-Leibler divergence, and the resolution performance metric, which is measured by joint entropy. The designed optimization model of LPI waveforms can be solved using the sequential quadratic programming (SQP) method. Simulation results verify that the designed LPI waveforms not only have satisfactory target-detecting and resolution performance, but also have a superior low interception performance against PISs.
在本文中，低截获概率（LPI）雷达波形的设计不仅考虑了无源截获系统（PIS）的性能，还考虑了雷达的检测和分辨性能。波形设计是雷达LPI能力的重要考量因素。由于信息论从信息流的角度具有强大的性能边界描述能力，本文在雷达和PIS的检测性能指标（均由库尔贝克-莱布勒散度衡量）以及分辨性能指标（由联合熵衡量）的约束下设计LPI波形。所设计的LPI波形优化模型可采用序列二次规划（SQP）方法求解。仿真结果验证了所设计的LPI波形不仅具有令人满意的目标检测和分辨性能，而且对PIS具有卓越的低截获性能。
