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1)  Zero-Forcing Successive Interference Cancellation (ZF-SIC)
迫零串行干扰删除
2)  zero forcing serial interference cancellation
迫零干扰删除
1.
The algorithm can achieve the same bit error rate(BER) performance as the traditional zero forcing serial interference cancellation(ZF-SIC) algorithm while the computational complexity of the proposed algorithm is 1/3 to 2/3 to the traditional ZF-SIC algorithm.
分析结果表明,该算法运算复杂度仅为传统的排序迫零干扰删除算法(ZF-SIC)的1/3~3/4,且理论与仿真结果证明新方法性能与传统的ZF-SIC误码率(BER)性能相同。
3)  parallel interference cancellation
并行干扰删除
1.
Secondly,one parallel interference cancellation(PIC) structure based on non-linear feedback was designed.
通过分析重叠剪切(OC)法频域均衡(FDE)固有误差的产生原因和分布特点,提出了对其进行改进的方案——自适应重叠剪切(AOC)法;同时设计了一种基于非线性反馈的并行干扰删除(PIC)结构。
2.
A parallel interference cancellation based mobile localization algorithm was proposed to mitigate the multiple access interference and to improve the location accuracy in mobile positioning systems.
为解决移动台定位时存在的多址干扰和远近效应,提高定位精度,提出了一种基于并行干扰删除的移动台定位算法。
4)  interference cancellation
干扰删除
1.
A novel low-complexity frequency-domain implementation method is proposed for the receiving algorithm combined frequency domain equalization and interference cancellation.
针对重叠剪切法的频域均衡联合干扰删除接收算法,提出了一种新的低复杂度的频域实现方法。
5)  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。
6)  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
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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