【摘要】 针对已有Radon-Wigner变换（RWT）对线性调频连续波（linear frequency modulated continuous wave,LFMCW）雷达目标加速度估计计算复杂高、精度低的问题，提出了一种改进的RWT算法。该算法通过熵值法得到加速度的粗估计，对RWT结果求二阶原点矩减小搜索计算量，并且提出了RWT插值方法，将其应用到迭代RWT中用于提高加速度估计精度。实验结果表明，该算法在低信噪比的情况下可以准确检测出匀加速微弱目标，计算量较小且精度较高。更多还原

【Abstract】 An improved RWT algorithm is proposed to solve the problems of high complexity and low accuracy of target acceleration estimation of linear frequency modulated continuous wave(LFMCW)radar by existing Radon Wigner transformation(RWT). The algorithm obtains the rough estimation of acceleration through the entropy method,calculates the second-order origin moment of RWT results to reduce the amount of search calculation,and proposes RWT interpolation method,which is applied to iterative RWT to improve the accuracy of acceleration estimation. The experimental results show that the algorithm can accurately detect uniformly accelerated weak targets in the case of low signal-to-noise ratio,with less computation quantity and higher precision.更多还原