首页> 外国专利> NETWORKED RADAR OPTIMAL WAVEFORM DESIGN METHOD BASED ON LOW INTERCEPTION PERFORMANCE UNDER GAME CONDITIONS

NETWORKED RADAR OPTIMAL WAVEFORM DESIGN METHOD BASED ON LOW INTERCEPTION PERFORMANCE UNDER GAME CONDITIONS

机译:基于低拦截性能的网络雷达最优波形设计方法

摘要

Disclosed is a networked radar optimal waveform design method based on a low interception performance under game conditions. The method comprises: acquiring a frequency response, an ambient clutter power spectral density, an interference waveform, and an ambient noise power spectral density of each radar node in a target relative networked radar system; establishing a networked radar optimal waveform design model based on a low interception performance under game conditions, with an optimization objective of minimizing the total radiation energy of the networked radar system under the game conditions and with a constraint condition of meeting a preset target parameter estimation performance mutual information threshold, and performing adaptive optimization design on a transmitting waveform of each radar node; and iteratively solving the optimization model by using a necessary Karush-Kuhn-Tucker condition, so as to obtain each radar transmitting waveform under the conditions of meeting a preset target parameter estimation performance and using each radar transmitting waveform as an optimal solution. Therefore, the low interception performance of a networked radar system under a binary zero-sum game condition is effectively improved under the constraint of meeting a preset target parameter estimation performance.
机译:公开了一种基于游戏条件下的低拦截性能的网络雷达最佳波形设计方法。该方法包括:获取频率响应,环境杂波功率谱密度,干扰波形和目标相对网络雷达系统中的每个雷达节点的环境噪声功率谱密度;基于游戏条件下的低拦截性能建立联网雷达最优波形设计模型,具有最小化游戏条件下网络雷达系统的总辐射能量的优化目标,并具有满足预设目标参数估计性能的约束条件相互信息阈值,并在每个雷达节点的发送波形上执行自适应优化设计;通过使用必要的karush-kuhn-tucker条件来迭代地解决优化模型,以便在满足预设目标参数估计性能的条件下获得每个雷达发送波形,并使用每个雷达将波形作为最佳解决方案。因此,在满足预设目标参数估计性能的约束下有效地改善了在二进制零和游戏条件下的网络雷达系统的低拦截性能。

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