慢跳跳频信号的时差估计方法

针对慢跳速跳频信号跳带宽、采样率高数据量大的特点,提出了各跳部分数据拼接的跳频信号快速时差估计方法。同时,针对跳频信号的互相关函数存在周期副峰容易导致错误模糊估计的问题,利用先验信息或单跳信号的时差估计值作为引导值,将最终时差估计的搜索范围限定在一个周期以内,避免模糊估计的产生,有效地提高了跳频信号的时差估计 精度。仿真结果表明:在信噪比大于8 dB 时,提出的跳频信号时差估计方法能精确地估计时差,并且有效抑制周期副峰的影响。

TDOA Estimation of Slow-hopping FH Signal

Since the hop band of slow-hopping frequency hopping (FH) signals is large, the sample rate is very high, and the amount of data needing to be processed is large, a time difference of arrival (TDOA) estimation method based on part data split jointed is proposed for the slow-hopping signals, which can get accurate results quickly. There are periodical peaks in the correlation results of FH signals, and it will bring vague estimation results. To restrain the influence of periodical peaks, two methods are proposed. The first is to set the search range of TDOA in a period with the use of pre-information. The second is to make use of the estimation result of single hop signal, and the TDOA search range will be set in a period include the estimation result of single hop signal. The results of computer simulations demonstrate that the proposed methods can restrain the influence of periodical peaks effectively, and get very accurate estimation results when the signal-to-noise ration is higher than 8 dB.