摘要
为进一步提高LFM信号参数估计的实时性和精确性,研究分析了分数阶傅里叶变换(FRFT)对LFM信号进行参数估计的误差来源,通过对其参数估计公式的研究,得出采样点数和搜索间隔对估计精度的不同影响,并提出了相应的改进算法。同时,采用DPT算法与FRFT离散并行快速算法相结合,提高了算法的实时性。最后,利用能量重心法对参数估计结果进行谱校正,进一步提高了估计精度。仿真结果表明,该算法对LFM信号参数估计精度高,性能接近CRLB,同时能够实现实时处理。
To improve the accuracy and real-time performance of parameter estimation for LFM signals, the factors are analyzed which affects the estimation based on FRFT.By studying the formulas of parameter estimation,an improved algorithm is proposed based on the choice of sample points and search interval.Mo-reover,a combination of the DPT algorithm and FRFT two-phase implementation is used to reduce the com-putation and improve the real-time performance.Finally,spectrum correction which based on energy bary-center correction method is used to handle the results and get higher accuracy of parameter estimation.As shown in the simulation results,the improved algorithms performance is close to the CRLB and can realize real-time processing.
出处
《雷达科学与技术》
2014年第2期181-186,194,共7页
Radar Science and Technology
关键词
FRFT并行快速算法
线性调频信号
参数估计
实时处理
克拉美罗限
FRFT two-phase implementation
LFM signal
parameter estimation
real-time process-ing
Cramer-Rao low bound（CRLB）
