In this letter, we propose a novel range and Doppler sampling mismatch compensation method for moving target detection, which can effectively improve the output signal-to-noise ratio (SNR) of a moving target. In the proposed method, after performing the target coherent integration by using the well-known Keystone transform (KT), the range and Doppler sampling mismatch errors (SMEs) are estimated and compensated based on the constructed optimization model with the consideration of the change rate of a moving target peak amplitude. In order to improve the computational efficiency, the Hooke–Jeeves method is applied to achieve the optimal solution of the constructed optimization problem, thus efficiently solving the target energy diffusion problem caused by the SMEs. Simulated experiment is presented to verify the effectiveness and feasibility of the proposed method.

中文翻译：

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基于Hooke-Jeeves优化处理的运动目标检测采样失配补偿新方法

在这封信中，我们提出了一种新颖的距离和多普勒采样失配补偿方法用于运动目标检测，可以有效提高运动目标的输出信噪比（SNR）。在所提出的方法中，在使用众所周知的 Keystone 变换 (KT) 进行目标相干积分后，在考虑变化率的情况下，基于构建的优化模型对距离和多普勒采样失配误差 (SME) 进行估计和补偿。的移动目标峰值幅度。为了提高计算效率，应用Hooke-Jeeves方法来实现构建的优化问题的最优解，从而有效地解决了SMEs引起的目标能量扩散问题。