【摘要】 从最大似然估计模型入手,提出了一种适合在一般高斯噪声环境(包括色噪声)下LFM信号目标的参数估计模型和基于此估计模型的调频斜率和初始频率估计的快速算法。此方法获得了最大似然方法估计精度高的优点,且运算量比传统的最大似然方法大大降低。另外推导出了一般高斯环境下的LFM参数估计的CRB界,为一般高斯环境下的估计的参数的方差提供实际下界。更多还原

【Abstract】 Based on the Maximum Likelihood (ML) estimation model, a LFM signal parameter estimation model and its fast algorithm for estimating the chirp rate and initial frequency fitting for normal gauss (included colored noise) environment is presented in this paper. The algorithm keeps the advantage of high precision of ML estimation and decreases the calculation cost of traditional ML method as well as. Also, the CRB of parameter estimation of LFM under normal gauss circumstance is carried out and a real low bounds for variance of estimated parameter is obtained.更多还原