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 localiza-tion primarily faces challenges such as weak target echoes,unknown parameters of non-cooperative transmitters,and direct-path in-terference.A signal-level high-precision target localization method for distributed multistatic passive radars is proposed in this pa-per 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 multi-static 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 localiza-tion 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 localiza-tion method can be applied in scenarios such as UAV silent surveillance,anti-low-altitude,and anti-stealth targets,which can sig-nificantly enhance surveillance and strike capabilities against enemy targets.
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