摘要
研究了噪声环境中的多分量LFM信号的检测以及参数估计问题。在分析和比较了时延相关解线调法和分数阶傅立叶变换(FrFT)扫描法的基础上,提出了一种新方法,该方法将LFM信号的检测问题简化为小范围的一维搜索问题,从而有效的减小运算量和分离强弱信号,同时在低SNR情况下的参数估计性能接近CRLB(Cramer-Rao low bounds)。仿真结果证实了方法的有效性。
The paper focuses on detection and parameter estimation of multi-component LFM signals in the presence of noise. Based on the two approaches, including time delay correlation dechirp method and FrFT scan method, which are discussed in detail, a novel method is presented, which simplifies the LFM signal detection to one-dimension searching in limited range. The proposed method can decrease the computational burden and separate strong and weak simultaneous signals efficiently, and the estimation performance approaches the CRLB （Cramer-Rao low bounds） under low SNR. Computer simulations verify the efficiency of this method.
出处
《电子测量与仪器学报》
CSCD
2008年第1期25-29,共5页
Journal of Electronic Measurement and Instrumentation
基金
国防预研资助项目(编号:41101030401)
