1) multipath delay profiles
多径延时分布
2) distribution of multi-path delay
多径时延分布
3) multipath time delay
多径时延
1.
Based on the analysis of shallow acoustic water channel, the article discuss its multipath time delay, and put forward an adaptive model and the method of underwater adaptive simulation to lessen the effect from multipathing.
从浅海声信道的特性出发 ,研究水下声信道的多径时延 ,提出自适应模型 ,给出水声信道自适应模拟的方法 ,以达到对水声多径信道的计算机模拟。
2.
For LFM (linear frequency modulation) pulse sonar, the method, based on modified time frequency correlation, for joint estimation of Doppler frequency and multipath time delay of overlapping echoes, can, in our opinion, be improved.
对修正时频相关函数多径时延估计法作了改进 ,提出了两种基于自适应核时频分布的LFM脉冲声纳目标回波多普勒频移及多径时延的联合估计方法。
3.
In this paper, based on the space-time two dimensional MUSIC algorithm, a new method utilizing the received information of user instead of pilot signal during the period of normal communication is proposed to estimate DOA and multipath time delay of the signal of interesting (SOI) user in CDMA system.
本文针对CDMA系统提出了一种不需要训练信号而直接对接收的正常通信信号进行处理,实现感兴趣用户的波达方向(DOA)与多径时延联合估计的新方法。
4) multipath delay
多径时延
1.
By using the characteristics of PN code and the maximum-likelihood method, the channel im pulse response vector can be estimated, then all of the multipath delays and attenuation weights can be obtained.
利用ＣＤＭＡ用户在使用ＢＰＳＫ调制信号时的多径信道模型，根据ＰＮ码的特点先用最大似然（ＭＬ）法估计出信道的冲激响应矢量，再进一步估计出ＲＡＫＥ接收机所需的各多径时延和衰减系数等参数，分析和计算结果表明，此方法具有速度快，计算量小和精度高等优点。
2.
Based on Watterson model,establishs a Simulink HF audio channel model,which can consider HF characters well such as multipath delay,Doppler spread and so on.
基于Watterson模型搭建了能全面考虑短波多径时延、多普勒扩展等特性的Simulink短波语音信道模型,采用1800Hz的单音语音信号作为输入,通过分析和比较输入输出信道信号的时、频特性,验证了模型的可行性,对短波电离层语音信道的研究有一定的参考价值。
5) distributed delay
分布延时
1.
The global exponential dissipativity of a class of neural networks with finite distributed delays is investigated by constructing radically unbounded and positive definite Lyapunov function.
通过构造径向无界正定的Lyapunov函数,研究了一类具有有限分布延时的神经网络的全局指数耗散性,在假定延时可微的情况下,给出了几个确保网络全局耗散性的充分条件。
6) Path-Fading Distribution
时延分布
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