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高阶模糊度函数LFM信号参数估计的改进与仿真 被引量:1

Improvement and Simulation of High-order Ambiguity Function for LFM Signal Parameter Estimation
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摘要 旨在改善高阶模糊度函数(HAF)进行线性调频(LFM)信号参数估计的效果,讨论了HAF进行LFM参数估计流程,分析了由于HAF局限性带来的调频斜率估计误差、累积误差效应以及接收信号与实际信号起点不一致性对HAF的影响,提出了用于改进HAF的分段频谱方差极大值法则。改进HAF降低了LFM信号调频斜率估计误差,同时改善了HAF的误差累积与起点不一致问题。MATLAB仿真数据结果验证了改进方法较HAF在LFM参数估计上的优越性。 In order to improve the LFM parameter estimation result based on the high-order ambiguity function (HAF), the HAF method for LFM parameter estimation was discussed. The HAF problems were analyzed because of its limitation, including the chirp rate estimation error, the cumulative error of the HAF and the influence from the start difference between the receiving signal and the real. The new principle of the segmented spectrum's maximum variance for the chirp rate estimation of the LFM was provided to improve the HAE The improved HAF reduces the chirp rate estimation error, conquers the cumulative error and the start difference problem. The MATLAB simulation data verifies the improved method's prior performance to the HAF.
出处 《系统仿真学报》 EI CAS CSCD 北大核心 2007年第21期4994-4997,5024,共5页 Journal of System Simulation
关键词 高阶模糊度函数 线性调频 参数估计 频谱方差极大值 HAF LFM parameter estimation spectrum's maximum variance
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