高速高机动弱小目标检测方法研究

A Research on Detection Algorithm for High Speed and High Maneuvering Weak Targets

  • 摘要: 本文针对高速高机动弱小目标检测中的距离走动和多普勒走动问题,提出一种多普勒频率补偿加尺度变换的目标检测方法。首先通过多普勒频率估计构建多普勒频率补偿函数,消除速度引起距离走动的影响,其次采用尺度变换方法消除多普勒调频率的影响,从而使积累时间不再受目标运动的限制。该方法无需多普勒调频率估计,解决了传统弱小目标检测方法中多普勒调频率估计准确性问题。在进行多普勒频率估计时,提出一种无模糊多普勒频率估计方法,该方法避免了模糊因子估计,大大减小了计算量,同时降低了对输入信噪比的要求,且有利于多目标情况。仿真结果验证了所提方法大大提高了高速高机动弱小目标的检测性能。

     

    Abstract: For the problem of range migration and Doppler migration in the detection of high speed and high maneuvering weak targets, a method for target detection by Doppler frequency compensation and scale transform is presented. Doppler frequency compensation function designed by Doppler frequency estimation is used to eliminate range migration which results from velocity, and the influence of Doppler frequency rate is eliminated by scale transform method, which make the accumulation time unlimited for target motion.It is not need of estimating Doppler frequency rate, and resoves the problem of error estimating in traditional weak targets detection. At the time of estimating Doppler frequency, A method for unambiguous Doppler frequency estimation is presented. The proposed method reduces the calculation amount for avoiding the estimation of fuzzy factor. Additionally, it reduces the demand of input SNR, and it is also avails targets. Simulation results show that it can improve the detection performance of high speed and high maneuvering weak targets greatly.

     

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