摘要
基于自相关检测理论,提出了移位M点相关方法,并给出了其迭代算法。以移位一点相关算法为例,根据实际情况讨论了中频和采样率对基于线性调频(LFM)信号的该算法结果的影响,并在白噪声和限带白噪声背景下,分别对该算法进行了仿真。特别分析了在限带白噪声情况下如何选取M值,最后给出了评价该算法性能的一种方法。结果表明:移位M点相关算法在强噪声背景下对微弱信号的检测性能较好,并且运算量少,适合实际工程应用。
Based on the auto-correlation detection theory,a method of shifting M-point correlation is presented,and its iterative algorithm is given.Shifting one-point is taken as an example,the effect of IF and sampling rate on this algorithm based on LFM signal is discussed according to the actual case,and this algorithm is simulated respectively at the background of white noise and the band limited white noise.How to select M under condition of band limited white noise is specially analyzed,and a method of evaluating this algorithm performance is given.The results indicate that using the shifting M-point correlation algorithm is capable of detecting weak signals at the background of strong noise,the operand is low and it is suitable for application in practical project.
出处
《火控雷达技术》
2010年第4期61-66,共6页
Fire Control Radar Technology
关键词
低截获概率
自相关
LFM信号
检测概率
low probability of interception（LPI）
auto-correlation
LFM signal
detection probability
