相干激光探测中微动参数估计的克拉美-罗界

发布时间：2018-01-31 17:42

本文关键词： 微多普勒效应参数估计克拉美-罗界激光雷达　出处：《红外与激光工程》2017年07期 　论文类型：期刊论文

【摘要】：为选择最佳参数估计方法估计目标微多普勒特征,需要研究参数估计的克拉美-罗界,来评价各估计方法的性能。以相干激光探测为背景,考虑噪声方差未知的影响,严格推导了高斯白噪声环境下微动目标回波信号各参数估计的克拉美-罗界的闭合表达式,仿真分析了目标相对于雷达的位置信息、数据处理长度以及回波信噪比与参数估计方差下界的关系。结果表明,克拉美-罗界与噪声方差无关,目标相对于雷达的方位角、俯仰角越小,数据长度和信噪比越大,参数估计的方差下界越小。对目前常用的两种微动参数估计方法方差进行了计算,并与推导克拉美-罗界进行了对比。最后,与通过近似处理方法得到的克拉美-罗界进行了对比,指出了精确推导方差下界的意义。
[Abstract]:In order to select the optimal parameter estimation method to estimate the micro-Doppler characteristics of the target, it is necessary to study the Cramey-Row bound of parameter estimation to evaluate the performance of each estimation method. The background is coherent laser detection. Considering the influence of unknown noise variance, the closed expression of each parameter estimation of the echo signal of fretting target under the environment of Gao Si white noise is derived strictly, and the position information of target relative to radar is analyzed by simulation. The relationship between the data processing length and the signal-to-noise ratio (SNR) of echo and the lower bound of the variance of parameter estimation shows that the Cramey-Row bound is independent of the noise variance, and the pitch angle of the target is smaller relative to the azimuth of the radar. The larger the data length and SNR, the smaller the lower bound of variance of parameter estimation. The variance of two fretting parameter estimation methods are calculated, and compared with the derivation of Clame-Row bound. Finally. Compared with the Clemei-Luo bound obtained by the approximate treatment method, the significance of the accurate derivation of the lower bound of variance is pointed out.
【作者单位】：脉冲功率激光技术国家重点实验室(电子工程学院);电子制约技术安徽省重点实验室;
【基金】：国家自然科学基金(61271353) 安徽省自然科学基金(1308085QF123)
【分类号】：TN957.51
【正文快照】： 0引言微多普勒效应是指目标在与雷达有相对径向运动时,除质心平动外,由目标整体或局部的振动、转动等微运动产生的对回波信号多普勒频谱的附加频率调制现象,此概念最早由美国海军实验室的V.C.Chen教授系统提出[1]。典型的雷达目标如坦克、汽车、飞机等都存在显著而又各自独特

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