利用空间已有电磁信号,采取分布式无源协同探测手段对目标进行零功率静默侦察,可有效提升我方雷达的低截获和抗干扰性能,是多雷达协同探测技术领域重点发展方向之一。目前,无源协同定位主要面临着目标回波弱、非合作外辐射源参数未知、直达径干扰等挑战。针对上述问题,文中提出了一种分布式多基无源协同的信号级高精度目标定位方法。该方法通过联合多基无源雷达双通道接收信号,建立信号级目标位置估计问题,以实现联合直达波干扰抑制和外辐射源及目标位置高精度估计,形成分布式多基无源雷达的零功率静默协同探测能力。此外,采用序贯估计策略和交替迭代估计策略将高维估计问题降低为多个低维估计问题,以降低算法的计算复杂度,强化实时定位能力。仿真结果表明,相较传统数据级定位,所提信号级方法在低信噪比和直达波干扰环境中表现出更好的定位性能。该无源协同定位方法可用于无人机前突静默侦察、反低空突防、反隐身等探测场景,能显著提升对敌目标的监视和打击效果。

Utilizing existing electromagnetic signals in the environment, distributed passive synergy surveillance means zero-power silent surveillance of targets can be conducted. This significantly enhances radar′s low interception and anti-jamming capabilities, making it one of the key development directions in multi-radar synergy surveillance technology. Currently, passive synergy localization primarily faces challenges such as weak target echoes, unknown parameters of non-cooperative transmitters, and direct-path interference. A signal-level high-precision target localization method for distributed multistatic passive radars is proposed in this paper to address these issues. This method involves combining dual-channel signals received by multiple passive radars to establish a signal-level target position estimation problem, achieving joint direct-path interference suppression and high-precision estimation of the external transmitters and target positions, thus forming a zero-power silent synergy surveillance capability for distributed multistatic passive radars. Additionally, sequential and alternating iterative estimation strategies are used to reduce the high-dimensional estimation problems to multiple low-dimensional ones, lowering the computational complexity and enhancing the real-time localization capabilities. Simulation results indicate that compared to data-level localization, the proposed signal-level method demonstrates superior performance in low signal-to-noise ratio and direct-path interference environments. The proposed passive synergy localization method can be applied in scenarios such as UAV silent surveillance, anti-low-altitude, and anti-stealth targets, which can significantly enhance surveillance and strike capabilities against enemy targets.

TN957