基于TDOA的短波信源定位技术相比于传统的基于AOA的短波定位技术具有设备简单、成本较低且架构方便的优点。然而,对短波信号直接进行传统的TDOA估计并不能得到信号的时延信息。以Watterson短波信道模型构造短波信号,在研究对比基本相关与模值相关算法的基础上,提出了基于广义相关熵模值的时延估计算法。仿真实验表明,即使在较低信噪比下,该方法仍然保持着较高的时延估计性能,是一种适用于短波信号的新型时延估计算法。
Comparing with the traditional HF transmitter localization based on the angle of arrival ( AOA), the time difference of arrival (TDOA) method enjoys advantages in low facility complexity, less cost and convenient framework. Nevertheless, the conventional correlation-based TDOA algorithms often fail to estimate HF time delay. By analyzing the basic cross-correlation between HF signals, generated with Watterson model, and their modulus, a new method of modulus-based generalized correntropy function (GCF) is proposed. Simulations demonstrate that even in the low SNR circumstance, the proposed method still maintains a high time delay estimation accuracy, which is a new TDOA method applicable for HF signals.