A Distributed Airborne Radar Anti-Spoofing Target Location Method Based on SAR and Monopulse Information Fusion

The distributed airborne synthetic aperture radar (SAR) system demonstrates significant advantages in antijamming capability and positioning accuracy due to its multiperspective observation ability. Notably, the traditional Range-Doppler Algorithm (RDA) is constrained by insufficient target velocity estimation accuracy, leading to a substantial degradation in moving target localization performance. Moreover, time-delay deception jamming can induce the system to generate false targets, further compromising positioning reliability. To address these issues, this paper proposes a target localization method for distributed platforms based on SAR and monopulse information fusion. The proposed method discriminates false targets through residual analysis of time-of-arrival (TOA) equation sets and constructs the true target TOA equations by applying the minimum residual criterion, requiring only echo range information and eliminating velocity estimation. Furthermore, considering the influence of station position errors and time-delay measurement errors, a iterative weighted least squares (IWLS) algorithm is employed to optimize target coordinate estimation. Numerical simulations validate the effectiveness of the proposed method in terms of anti-jamming capability and positioning accuracy.