一种基于最大相关熵准则的超视距目标直接定位算法

Direct position determination for over-the-horizon emitters based on the maximum correntropy criterion

摘要:

超视距(over-the-horizon,OTH)无源定位在战略预警、海上导航、无线电频谱监测与管理等领域均具有重要应用和研究价值。在脉冲噪声环境下,可以考虑采用多个运动的单天线接收机实现对OTH短波辐射源的定位。为此,基于准抛物线(quasi-parabolic,QP)电离层模型,在其参数部分未知的情况下,提出了一种基于最大相关熵准则(maximum correntropy criterion,MCC)的超视距直接定位(direct position determination,DPD)算法,实现对目标位置和电离层模型参数的联合估计。针对非凸目标函数求解计算复杂度高的问题,提出了应用增强型鲸鱼优化算法(enhanced whale optimization algorithm,E-WOA),以较低的计算复杂度实现了高效解算。仿真实验验证了所提算法良好的定位性能;此外,在噪声脉冲性较强的环境下,所提算法在低广义信噪比(generalized signal-to-noise ratio,GSNR)时同样能获得较高的定位精度。

Abstract:

Over-the-horizon (OTH) passive localization has significant usage and research value in strategic early warning, maritime navigation, radio spectrum monitoring and management. In the context of impulsive noise, this paper considered using multiple moving single antenna receivers to achieve localization of OTH emitters which transmit shortwave signals. To this end, based on the quasi-parabolic (QP) ionosphere model with partially unknown parameters, a direct position determination(DPD) algorithm based on the maximum correntropy criterion (MCC) was proposed to jointly estimate the position of emitters and ionosphere parameters. Furthermore, to address the issue of the high computational complexity in solving the non-convex cost function, an enhanced whale optimization algorithm (E-WOA) was proposed, achieving efficient solutions with lower computational complexity. Simulation experiments have validated the good localization performance of the proposed algorithm. Moreover, in environments with strong impulsive noise, the proposed algorithm can achieve higher positioning accuracy under low generalized signal-to-noise ratio (GSNR) conditions.