针对传统互模糊函数算法对TDOA/FDOA参数估算运算量大的问题,提出了一种分段近似并相干累加的互模糊函数计算方法。该方法利用相位校正项对互模糊函数进行分段处理,并对分段后的互模糊函数采取近似,从而实现快速计算。相比传统的互模糊函数计算过程,该方法从分段和近似两个方面对计算速度进行提升。在相同采样条件下对传统算法和所提出快速算法进行了对比,仿真结果表明该算法能较大程度节省计算量,减少计算时间超过十倍。
In order to solve the huge calculation problem in conventional cross ambiguity function (CAF) algorithm for TDOA/FDOA estimation, this paper proposed a fast algorithm using short-time CAF based on coherent accumulation and ap- proximate calculation. From the definition of CAF, the proposed algorithm cut the CAF function into short and coherent CAFs using phase correction factor, and then made approximate calculation in each short CAF. Compared with conventional CAF al- gorithm, the proposed algorithm reduces the computation time both from the short CAFs and the approximate calculation. It compared conventional CAF algorithm and the proposed algorithm under the same environment. Simulation results show the ef- fectiveness of the proposed algorithm. It can cut down the time consumption around 90%.