联合准则下的认知雷达波形设计

针对不同工作环境中, 需要雷达同时具有多种模式和多种任务的问题, 提出了一种联合优化准则的雷达波形设计方法, 该方法综合考虑了目标与回波之间的互信息与信干噪比。在发射信号能量有限的约束条件下, 首先通过最大边缘分配算法求解最优波形, 其次讨论互信息与信干噪比的增减率, 当改变系数值时, 联合准则下的雷达信号模型既可同时提高互信息和信干噪比值, 又可根据发射需求分别优化互信息或信干噪比。最终信号模型通过一次或较少次数的观测同时完成目标参数估计、检测或识别任务, 为雷达波形优化朝着多功能模型设计提供研究依据。

Waveform design of cognitive radar based on joint criteria

A method of radar waveform design based on joint optimization criteria is proposed for multiple modes and tasks in different environments, this method comprehensively considers the mutual information and signal to interference noise ratio. With the transmitted signal energy constraint, the optimal waveform is solved by the maximum marginal allocation algorithm, the gradient of mutual information and signal to interference noise ratio is discussed. mutual information and signal to interference noise ratio are improved concurrently and they are optimized independently according to launch requirements when the coefficients are changed. Finally, the signal model realizes parameter estimation, testing or discernment with one or fewer observations, aiming at providing research basis for multi-function model design of radar waveform optimization.