基于算术平均和抽取的 TDMA 信号时/频差估计

摘要

针对现有 TDMA 信号时间差和频率差估计方法普遍存在运算量较大的问题,提出了基于算术平均和抽取的 TDMA 信号时/频差估计方法。由于模糊函数的运算量主要为对混合积的多次FFT,该方法通过算术平均和抽取可以有效降低混合积的长度,从而显著减少了模糊函数的运算量。仿真结果表明,该方法能够快速精确地估计出 TDMA 信号中各用户的时/频差。%In order to reduce high computational load in time difference of arrival (TDOA) and frequency difference of arrival (FDOA) estimation of time division multiple access (TDMA) signals, an approach based on arithmetic average and decimation is proposed. Since major computation load in calculating the ambiguity function comes from multiple fast Fourier transform (FFT) on mixed product, the proposed method can reduce length of the mixed prod-uct efficiently by using arithmetic average and decimation, therefore computation load for calculating the ambiguity function got decreased significantly. Simulation results indicate that the proposed method is able to estimate the TDOA and FDOA of different users in TDMA signals quickly and accurately.