一种基于Watterson模型的短波信号时延估计算法

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。

A HF Time Delay Estimation Method Based on Watterson Model

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. It is a new TDOA method applicable for HF signals.