Frequency optimization of radiation sources for correlated imaging radar based on distribution entropy

Tingting Qian, Qingquan Meng, Guanghua Lu
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引用次数: 4

Abstract

For the purpose of obtaining high-resolution in staring correlated imaging radar system, improving the stochastic properties of radiation sources is an effective pathway, while the frequency hopping pattern of transmitting signals is an important parameter that affects the randomness of radiation sources. In this paper, a novel concept of distribution entropy is proposed with its mathematical expression, which quantitatively describes the temporal-spatial stochastic characteristics of microwave radiation sources. Furthermore, five frequency assignment strategies of radiation sources have been designed by using genetic algorithm with the principle of maximizing the distribution entropy. Numerical simulations are performed and the results show that the designed frequency assignment strategy with high distribution entropy will improve the recovery performance of image efficiently.
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基于分布熵的相关成像雷达辐射源频率优化
在凝视相关成像雷达系统中,提高辐射源的随机特性是获得高分辨率的有效途径,而发射信号的跳频方向是影响辐射源随机性的重要参数。本文提出了一种新的分布熵概念及其数学表达式,定量地描述了微波辐射源的时空随机特性。以分布熵最大化为原则,利用遗传算法设计了5种辐射源频率分配策略。数值仿真结果表明,所设计的具有高分布熵的频率分配策略能有效地提高图像的恢复性能。
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