基于相位信息的微动目标特征提取方法

Feature extraction of micro-motion target based on phase information

基于窄带脉冲式雷达,首先对旋翼微动目标进行了回波建模,从理论上给出了基于相位信息的微动特征提取方法的可行性,并利用相位解缠原理对回波的相位模糊进行解缠,得到真实相位.然后对基于相位信息的微动目标特征提取方法的抗噪性能、估计精度以及方位欠采样条件下的性能进行分析;讨论了在不同信噪比条件下,该方法对目标转速和旋转半径提取的性能,并指出该方法在高方位欠采样条件下依然可以有效提取目标转速信息.最后进行仿真,验证了该方法的有效性和可行性.

Based on the narrow-band pulse radar, this paper firstly establishes a scattering point model of the rotor micro-motion target, and theoretically analyzes the feasibility of extracting the micro-motion target characteristics from the phase of echo. Secondly, the paper employs phase unwrapping algorithm to solve the problem of echo phase ambiguity and obtain the real phase. Thirdly, the paper analyzes the phase-information-based anti- noise performance, the estimation accuracy and the performance in the condition of azimuth under-sampling. And the paper also discusses the performance of using the proposed method to extract the rotational radius and velocity under different SNR conditions, and points out that this method is still in the position to extract rotational velocity in the case of high azimuth under-sampling. Finally, the simulation is done and the results verify the feasibility of the proposed method.