利用改进频域补偿和分数阶Fourier变换的多帧相参TBD方法

Multi-frame Coherent Integration Track-Before-Detect Algorithm Based on Modified Range-Frequency compensation and Fractional Fourier Transform

  • 摘要: 天基雷达接收空间高速机动目标的多帧回波数据,本文提出一种利用改进频域补偿和分数阶Fourier变换的多帧相参TBD方法用于目标参数估计。该方法利用改进的频域补偿方法将各数据帧中出现距离徙动的目标回波信号校正到一个距离单元中,然后在补偿由于不同数据帧带来的固有相位差基础上对一个距离单元内数据做分数阶Fourier变换而用于目标参数估计。该方法充分利用多帧回波数据间的相位信息,避免了常规检测前跟踪方法由于帧间非相参积累所导致的能量积累损失问题,在低信噪比的情况下能够获得较高的参数估计性能。仿真结果证明了所提方法的有效性。

     

    Abstract: The multi-frame echo of high-speed maneuvering spacial target can be obtained by space-based radar. This paper propose a Multi-frame Coherent Integration Track-Before-Detect (MFCI-TBD) algorithm which is based on modified frequency compensation and Fractional Fourier Transform (FRFT) for target parameter estimation. The modified frequency compensation method can be used to correct range migration effect, then compensate the phase difference which is caused by the different frame, and the FRFT can be used to accumulated the energy of the multi-frame of the target echo, so the target’s parameter estimation result can be achieved. This method makes full use of the phase information which is between the multiple frame target echo, it can avoid the energy loss which is caused by conventional TBD method, the higher parameters estimation precision can be obtained in low SNR environment. Simulation results prove the effectiveness of the proposed algorithm.

     

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