针对二阶互模糊函数在相干高斯噪声环境下会出现较大的噪声相关峰值,影响TDOA/FDOA参数正确估计的问题,利用高阶积累量对高斯噪声的不敏感特性,研究基于四阶互模糊函数的TDOA/FDOA参数估计方法,对该方法的参数估计过程进行了详细的理论分析,并针对二阶与四阶互模糊函数两种参数估计方法进行了对比仿真。仿真结果表明,基于四阶互模糊函数的TDOA/FDOA参数估计方法能有效克服噪声的相关性,但对噪声敏感,存在一定的理论研究价值。
In order to overcome the disadvantage that the estimation matrix of TDOA/FDOA using cross ambiguity function based on second-order statistics (CAF-SOS) under coherent Gaussian noise environment gets obvious noise maximum peak which influence the performance of parameter estimation,the properties of cross ambiguity function based on fourth-order statistics (CAF-FOS) are ana- lyzed with high order eumulant insensitive to Gaussian noise,and the algorithm of TDOA/FDOA estimation based on CAF-FOS is illus- trated. The simulation results show that the CAF-FOS algorithm could overcome the disadvantage of traditional CAF-SOS algorithm un- der coherent Gaussian noise environment,but CAF-FOS is sensitive to noise and should be improved for practical use.