提出了一种基于辅助源和相关熵的ADS-B信息时延估计新算法。首先,对报文信息时延产生机制进行了研究,提出新的时延模型;其次,以辅助源信号所包含的多普勒频移特征为研究对象,在信号相似性比较时引入相关熵提出时延估计算法;然后,分别研究了扫描步长与高斯核长对本时延估计精度的影响;最后,通过仿真实验验证了在不同噪声条件下本算法的时延估计性能。与已有方法相比,本算法不需要更改报文格式,在脉冲噪声条件下具有更高的时延估计精度,故具有更好的实际应用价值。
A novel time delay estimation algorithm was proposed to correct ADS-B latency employing an auxiliary signal source and correntropy. Firstly, the cause of message delay was analyzed and a new latency model was raised. Secondly, when comparing the signal similarity, the correntropy was introduced to estimate the delay using Doppler shift from signals of the auxiliary source as the research object. Thirdly, the influnce of step length and Gaussian kernel length on evaluating the time delay was researched. Finally, simulations were carried out to verify the performance of the proposed algorithm in the impulsive noise environment. The new algorithm needs no change in message format and it is more practical and accurate compared with existing methods.