ID 原文 译文
2613 为提高不完美反馈下无线网络的重传效率,本文提出中继协作无线网络中不完美反馈下基于网络编码的重传方案。 To improve the retransmission efficiency ofwireless networks with imperfect feedback, a retransmission scheme based on network coding is proposed.
2614 本方案基于部分可观察马尔科夫决策过程对不完美反馈下的重传过程进行建模。 The retransmission procedure with imperfect feedback is modeled based on POMDP (Partially Observable Markov Decision Process)theory.
2615 发送节点根据系统观测状态和最大置信度更新系统估计状态,根据数据包发送顺序,优先选择最早丢失且能够恢复最多丢包的编码包重传。 According to the system observation status and the maximum confidence degree, the source updates the system estimation status. And the source gives preference to select the encoding packet that can recover the earliest lost packet and the most lost packets according to the packet sending sequence.
2616 目的节点缓存不可解编码包以提升编解码机会。 To increase the coding and the decoding opportunities the destination can buffer the encoding packets that cannot be decoded.
2617 重传过程中源节点关注目的节点请求包需求,相同情况优先选择传输可靠性较高的中继节点,以提升传输有效性。 During retransmission procedure the source focuses on the destination re-quirements. In the same conditions the relay with higher transmission reliability is preferentially selected to improve the transmission efficiency.
2618 仿真结果表明,在不完美反馈下相对于传统方案,本方案可有效提高重传效率。 Simulation results show that the scheme proposed can effectively improve the retransmission effi-ciency compared with the traditional retransmission scheme with imperfect feedback in wireless multicast network.
2619 针对跳频信号的高精度时差估计问题,分析了跳频信号相关函数的模糊特性,提出了基于多跳相干积累的跳频信号时差估计方法。 In order to estimate the time difference of arrival (TDOA)of frequency hopping signal accurately, the am-biguous characteristic of the correlation function is analyzed, and the TDOA estimation method of frequency hopping signalbased on multi-hop coherent integration is investigated.
2620 多跳相关函数中存在周期副峰,将导致时差估计出现周期模糊,提出了两种消除模糊的方法———单跳时差平均法与相关函数包络拟合法。 The periodic peaks in the multi-hop correlation function will lead to ambiguous estimation of the TDOA;so two approaches to eliminate ambiguity are proposed:the approach of ambiguity elim-ination by TDOA averaging of single-hop (TASH)and by envelope fitting of correlation function (EFCF).
2621 两种方法获得的时差粗值可以确定在相关主峰附近小范围精确搜索的搜索区间,在此区间内进行时差估计可以消除周期模糊。 Ambiguity elimination is achieved through fine peak searching between a small interval nearby the main peak, and the small interval is determined by the coarse TDOA obtained by means of TASH or EFCF.
2622 单跳时差平均法通过对单跳时差估计进行非相干平均获得时差粗值。相关函数包络拟合法通过搜索到的多个周期峰值,进行包络拟合获得时差粗值。 The difference between TASH and EFCF is that the first approach obtains the coarse TDOA by incoherent averaging of TDOA estimation of single-hop, while the second ap-proach obtains the coarse TDOA by the envelope of correlation function which is fitted by using multiple periodic peaks found by whole searching.