摘要
针对传统算法在复杂的电磁环境中不能准确有效地检测跳频信号的不足,提出一种基于Morlet复小波变换(complex-Morlet wavelet transform,CMOR)的跳频信号参数估计算法,挖掘CMOR的尺度序列与跳频信号频率之间的内在联系。MATLAB仿真与真实信号验证结果表明,该算法无需任何先验条件,能够准确地估计跳频信号的跳变点、跳周期、跳速及跳频频率等性能参数,算法流程清晰度与估计精度均优于其它算法。
To measure the hopping signals efficiently in the complex electromagnetic environment, a new blind estimation algorithm for frequency-hopping signal parameters based on the complex-Morlet wavelet transform （CMOR） was proposed, which was used to dig out the internal relationship between the scale sequence of CMOR and the frequency of hopping signal. MATLAB simulation and real signals verify that the hopping period, the frequency hopping and the frequency in each period are estimated accurately with this algorithm. Com- pared to other algorithm, this algorithm is better in both articulation of algorithm flow and estimation accuracy.
出处
《计算机工程与设计》
北大核心
2015年第1期37-41,共5页
Computer Engineering and Design
基金
国家自然科学基金项目(81000605
110108007)
广东省自然科学基金重点项目(S20120200-10867)
