【摘要】 Teager-Kaiser(TK)算子对噪声比较敏感,当噪声存在时,TK算法对信号到达时间(time of Arrival,TOA)的估计精度比较低,结合多径信道特点,对TK算子进行了改进。改进算法通过对相关曲线进行高次方累积,增大相关曲线中TOA点对应的输出值,从而降低噪声对输出信号的影响,提高了TOA的估计精度,同时根据TOA点所对应相关曲线的位置特性,限定信号数据范围,不仅可以有效地降低改进算法的计算复杂度,还可以进一步提高TOA的估计精度。对多径信道模型的仿真结果表明,该改进算法对TOA估计的精度明显优于TK算法,特别是在噪声比较严重的情况下,TOA估计精度得到很大的提高。更多还原

【Abstract】 Because TK operator is sensitive to noise,the estimation precision of time of arrival(TOA)signal in noisy environment is very low using Teager-Kaiser(TK)algorithm.For the case of the multipath channel,TK operator is improved in the paper.In the proposed algorithm,the output value of the correlation curve corresponding to TOA is increased by accumulating the high power of correlation curve,so the effects of noise on output signal would be reduced and the estimation precision of TOA is improved.At the same time,according to the features of the point of TOA corresponding to the correlation curve,limiting the scope of signal data not only reduces the computational complexity but also increases the estimation precision of TOA.Based on the multipath channel model,it is shown from the simulation results that the performance of the improved algorithm is better than that of TK algorithm.Especially under the condition of serious noise,the proposed algorithm has improved TOA estimation precision greatly.更多还原