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1)  successive interference cancellation
串行干扰消除
1.
The group order successive interference cancellation algorithm was proposed to mitigate interference for the different sub-groups and improve the system perfo.
利用每个子组用户的后验组信噪比排序,依次进行组串行干扰消除的算法来消除不同子组用户之间的多址干扰。
2.
Also,at the receiver,the single-carrier frequency-domain equalization and the successive interference cancellation(SIC) are used to combat with various interferences resul-ting from the frequency selective .
该方案对MIMO系统发送端天线进行分组,每组用2根发射天线发送一路独立的经过数据块级STBC编码的数据,以获得发射天线分集增益;在接收端采用单载波频域均衡和串行干扰消除(SIC)技术,抵抗频率选择性MIMO-CDMA(码分多址)信道下的各种干扰。
3.
The proposed algorithm is based on the Gram-Schmitz orthonormalization of equivalent spread-spectrum codes and the successive interference cancellation (SIC).
本文针对多径衰落信道下的直扩码分多址(DS-CDMA)系统的上行链路,基于等效扩频码组Gram-Schmitz正交化与串行干扰消除(SIC),提出了等效同步多用户检测(ESMUD)算法。
2)  SIC
串行干扰消除
1.
This paper analyzes the limitations of successive interference canceller(SIC)for multi-user detection.
分析现有多用户检测中串行干扰消除检测器的缺陷,在该检测器中加入最小均方误差自适应算法以跟踪时变的信道环境,从而改进该检测器的性能。
2.
Based on the percentage amplitude mismatch,the approximate BER formula of the Successive Interference Canceller (SIC) is presented with the Gaussian approximation method,and the effect of the amplitude mismatch on the Bit Error Rate (BER) performance is discussed.
基于幅度失配率,使用高斯近似方法给出有幅度失配的串行干扰消除检测器(SIC)的近似误码率递推公式。
3)  Successive interference cancellation (SIC)
串行干扰消除
1.
This paper studies how to adjust decoding orders to minimize outage probability in DS-CDMA systems with successive interference cancellation (SIC), considering the three real factors, i.
研究在采用串行干扰消除的DS-CDMA系统中调整译码顺序以最小化系统中断概率的问题,兼顾了SIC非理想、用户接收功率有限以及存在外小区干扰这三方面的实际因素。
2.
In DS-CDMA systems with Successive Interference Cancellation (SIC), the numbers of possible rate modes and decoding orders grow exponentially with the number of users.
在采用串行干扰消除的DS-CDMA系统中,可能的速率模式与译码顺序随着用户数的增长而指数增长。
4)  serial interference cancellation
串行干扰消除
1.
A serial interference cancellation algorithm for MIMO detection based on column orthogonal transform;
基于列正交变换实现串行干扰消除的MIMO检测算法
5)  SIC(successive interference cancellation) algorithm
串行干扰消除检测算法
6)  ordered successive interference cancellation
按序串行干扰消除
1.
To solve this problem,an improved log-normal error function CMA algorithm(ILNCMA) was proposed and applied into the ordered successive interference cancellation(OSIC) MIMO decision feedback equalization(DFE).
针对这一问题,提出了改进的对数正态误差恒模算法,并将此算法应用于按序串行干扰消除MIMO判决反馈算法中。
2.
The ordered successive interference cancellation MIMO decision feedback equalization based on recursive least square algorithm (RLS-OSIC-DFE) was obtained by canceling decided symbols from the received symbols successively with the decision feed-forward equalizer (DFE) solution as a well known expression encountered in fast recursive least squares (RLS) adaptive algorithms.
基于迭代最小二乘的按序串行干扰消除MIMO判决反馈算法在应用迭代最小二乘算法得到的前馈数据向量中按序将已检测并判决出的信号进行消除,并将前馈数据向量合并到反馈数据向量中,避免了已判决出的信号对前馈数据向量的干扰,使系统检测性能得到了明显改善。
补充资料:摆放式干扰机(见通信干扰设备)


摆放式干扰机(见通信干扰设备)
hand-emplaced jammer

  baifongshi gQnraoii摆放式干扰机(hand一emplaeed jam;ner)见通信干扰设备。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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