基于IGRFT的机载双基地雷达高速目标信号相参积累方法

IGRFT-Based Signal Coherent Integration Method for High-Speed Target with Airborne Bistatic Radar

  • 摘要: 机载雷达观测高速机动目标,能够有效克服地物遮挡、地球曲率等不利因素干扰,具有探测范围广、灵敏度高、机动性强等诸多优势。但在实际飞行过程中,由于受到气流等外界因素的影响,机载雷达不可避免会受到运动误差的影响;同时,由于目标的高速机动性,观测时间内会发生跨距离走动与跨多普勒走动,导致传统的相参积累方法失效。为此,本文提出了一种基于改进广义拉东傅里叶变换(Improved Generalized Radon Fourier Transform, IGRFT)的机载双基地雷达运动误差补偿与信号相参积累处理方法,通过对等效运动参数和运动误差参数的联合搜索,可以同时补偿目标的距离/多普勒走动以及机载平台的运动误差,进而实现回波信号的能量相参叠加,提升回波信噪比。仿真结果表明,该方法能够显著提高存在运动误差下的目标积累检测性能。

     

    Abstract: ‍ ‍Airborne radar can effectively overcome the interference of adverse factors such as ground object occlusion and earth curvature when observing high-speed maneuvering targets, and has many advantages like wide detection range, high sensitivity and strong maneuvering ability. However, in the actual flight process, due to the influence of air flow and other external factors, airborne radar will inevitably be affected by the motion errors. At the same time, because of the high-speed and maneuvering of the target, cross-range migration and cross-Doppler migration will occur during the observation time, which leads to the failure of the traditional coherent integration method. To this end, this paper proposes a signal coherent integration method of airborne bistatic radar high-speed target based on Improved Generalized Radon Fourier Transform (IGRFT). Through joint searching equivalent motion parameters and motion errors parameters, the range/Doppler migration of the target and the motion errors of the airborne platform can be compensated simultaneously, and then the signal energy of the target could be coherently integrated in order to improve the echo Signal-to-Noise Ratio (SNR). Simulation results show that the proposed method can significantly enhance the integration and detection performance of the target in the presence of motion errors.

     

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