Costas跳频信号参数盲估计算法研究

摘要

提出了一种Costas跳频信号参数盲估计算法.首先对接收信号作快速傅里叶变换(fast Fourier transform,FFT),分析频谱以估计信号跳频频率个数；进而得到码元宽度初估计值,以该初估计值设定搜索范围搜索频率跳变点位置,对码元宽度作精估计.在脉宽未知的情况下,提出了基于最小描述长度(minimum description length,MDL)的到达时间估计方法.和其他Costas跳频信号参数估计方法相比,该方法计算量小,参数估计精度相对较高.仿真结果证明,该方法在较低信噪比条件下仍有效.%A parameter blind estimation algorithm of Costas frequency hopping signals is presented. The fast Fourier transform (FFT) is used to estimate the number of hopping frequencies by frequency spectrum analysis, then the initial estimation of code width is obtained. The accurate estimation of code width can be effectively extracted by searching the frequency hopping position with the search coverage set according to the initial estimation. In the condition of unknown pulse width, a time of arrival estimation algorithm based on minimum description length (MDL) is presented. Compared with other algorithms, this algorithm has the characteristics of shorter computation time and higher parameter estimation accuracy. Simulation results indicate that it is effective even at a low signal to noise ratio (SNR).