摘要
该文从最大似然估计出发,得出了一种LFM信号参数估计方法,并采用一阶扰动模型分析其统计性能.该方法涵盖经典的多项相位变换法,将最大似然估计的多维搜索转化为一维搜索,但性能较多项相位变换法更优,低信噪比时仍可接近Cramer-Rao界.另外,结合基于傅里叶系数内插的快速高精度测频算法,该方法运算量与多项相位变换法相当,便于实现.仿真验证了其有效性及性能分析.
Motivated by Maximum-likelihood （ML） algorithm, a LFM signal parameter estimation method was proposed, and its asymptotic performance was analyzed. This method replaces the multi-dimension search of ML estimator with several 1-D ones, and covers the discw.te polynomial transform （DPT） method.Its performance is bettor than that of DPT method.The meansquare errors （MSEs） of the estimates are shown to be close to the Cramer-Rao bounds even at much lower signal-to-noise ratios （SNRs） .Mine over, this method takes advantage of the frequency estimation algorithm based on interpolation on Fourier coefficients,its order of computational complexity equals to the DPT method＇ s. Consequently, it is simple and easy to implement. The simulation demonstrated the effectiveness and performance analysis.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2007年第6期1128-1133,共6页
Acta Electronica Sinica
关键词
线性调频
调制斜率
初始频率
幅度
初相
LFM signal
Chirp rate
initial frequency
amplitude
initial phase
