相控阵雷达干扰抑制的自适应时空处理。2。跟踪雷达

H. Ghouz, F. Elghany, M.M. Qutb
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摘要

参见同上,p.B8/1-B8/8(2000)。在相控阵雷达系统中,跟踪过程使用预定扇区的电子扫描来提供关于被探测目标的连续信息。在实际中,干扰(噪声、杂波和干扰信号)的存在会阻止或欺骗跟踪电路跟踪真实目标,从而终止跟踪过程。提出了一种抑制相控阵跟踪雷达干扰的自适应滤波技术。其目的是为期望信号和干扰信号之间的区分提供一个关键特征。与时间处理技术不同,目前的滤波过程是基于目标多普勒频移以及干扰的空间分布来自适应地抑制不希望的信号。这种滤波技术被称为自适应相干时空(ACST)滤波。目的是详细研究和评估自适应滤波器在不同干扰环境下的性能。这包括干扰的总截获功率、类型和空间分布。利用直接矩阵反演(DMI)算法估计了干扰的空间协方差矩阵。得到了自适应滤波器的最优维纳解。仿真结果表明,在滤波器的输出“SINR/sub /”处的信噪比得到了明显的改善。此外,滤波器的性能对方向与期望信号方向一致或接近的干扰类型非常敏感。在这种情况下,应该考虑滤波器的复杂性和连续目标跟踪所需的最小SINR/sub /之间的权衡。综上所述,该滤波器是解决低目标RCS(如隐身飞机)受干扰跟踪问题的一种有吸引力且鲁棒的解决方案。
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Adaptive space-time processing for interference suppression in phased array radar systems. II. Tracking radar
For pt.I see ibid., p.B8/1-B8/8 (2000). In phased array radar systems, a tracking process is performed using an electronic scan of a predetermined sector to provide a continuous information about the detected targets. In practice, the presence of interference (noise, clutter, and jamming signals) either prevent or deceive the tracking circuit to follow the real targets, and consequently, the tracking process is terminated. This paper presents an adaptive technique of filtering to suppress the interference in phased array tracking radar systems. The aim is to provide a key feature for discrimination between the desired and the interference signals. Unlike the time processing techniques, the present filtering process is based upon the target Doppler shift as well as the interference spatial distribution to suppress adaptively the undesired signals. This technique of filtering is referred to as adaptive coherent space-time (ACST) filter. The objectives are to investigate and evaluate in detail the performance of the adaptive filter under different interference environments. This includes total intercepted power, type and spatial distribution of the interference. The spatial covariance matrix of the interference is estimated using the direct matrix inversion (DMI) algorithm. Then the optimum Wiener solution for the adaptive filter is obtained. The results of our simulation show that an appreciable improvement in the signal to interference plus noise ratio at the filter's output "SINR/sub o/" is obtained. Also, the filter's performance is very sensitive to the interference type that has a direction either coincident with or close to the desired signal direction. In this case, a trade-off between the filter's complexity and the minimum SINR/sub o/ required for a continuous target tracking should be considered. In conclusion, the presented filter is an attractive and robust solution for solving the tracking problem of low target RCS immersed in interference (e.g., stealth aircraft).
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