一种基于多循环频率的韧性时延与多普勒频移联合估计算法

A Robust Method for Joint Time Delay and Doppler Estimation Based on Multi-Cycle Frequencies

本文提出了一种基于分数低阶循环模糊函数的多循环频率时延与多普勒频移联合估计算法.该方法将分数低阶矩与循环平稳特性相结合,能够在SαS(SymmetricαStable)脉冲噪声条件下检测信号的循环平稳特性.算法充分利用了信号的循环频率信息,具备较强的抑制干扰能力.仿真结果表明,在脉冲噪声和干扰环境中本文提出的算法均能稳定工作,估计性能优于基于二阶循环模糊函数和p阶循环模糊函数的算法,是一种韧性的时延与多普勒频移联合估计算法.

A new method for joint time delay and Doppler shift estimation based on the fractional lower-order cyclic cross ambiguity function（FCCA） and multi-cycle frequencies is proposed.The relationship among fractional lower-order cyclic correlation,second-order cyclic correlation and pth-order cyclic correlation is analyzed.By using fractional lower-order cyclic statistics and exploiting cyclostationarity property of more than one cycle frequency,the new algorithm share the signal selectivity and is highly tolerant to SαS noise and interfering signals.The performances of different methods in various environments are tested in simulations.Simulation results indicate that the proposed algorithm outperforms the methods which is based on the conventional cyclic cross ambiguity function（CCA） and pth-order cyclic cross ambiguity function（PCCA） respectively.