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New Parameter Estimation and Detection Algorithm for High Speed Small Target

机译:高速小目标的新参数估计与检测算法

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摘要

Target detection and parameter estimation are the principal problems of radar applications. The detection and parameter estimation for high-speed small targets are challenging for narrowband radar since the target may only occupy one range cell with small reflectivity. In addition, the high speed makes the target shift through range cells during the observation period, which makes it difficult to improve the target's reflecting energy coherent accumulation and signal-to-noise ratio (SNR). An algorithm for high-speed small target detection and parameter estimation with narrowband radar is proposed in this paper. Firstly three target motion parameters, i.e., the cross-range frequency modulation rate, ambiguous Doppler frequency, and fold factor are estimated one by one. Then based on the estimated parameters, a target detection method is proposed. In addition, we also analyze the detection performance under estimation error. After that, an improved method for fold factor estimation is presented. Simulation results have proved the validity of the proposed algorithm.
机译:目标检测和参数估计是雷达应用的主要问题。高速小型目标的检测和参数估计对于窄带雷达来说是具有挑战性的,因为目标可能只占据一个反射率较小的测距单元。此外,高速度会使目标在观察期内移动通过测距单元,这使得难以提高目标的反射能量相干累积和信噪比(SNR)。提出了一种利用窄带雷达进行高速小目标检测和参数估计的算法。首先,一个一个地估计三个目标运动参数,即跨范围频率调制率,模糊多普勒频率和折叠系数。然后基于估计的参数,提出了一种目标检测方法。此外,我们还分析了估计误差下的检测性能。之后,提出了一种改进的倍数估计方法。仿真结果证明了该算法的有效性。

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