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1)  zero-forcing
迫零
1.
Enhanced OFDM mobile channel estimation based on zero-forcing technique
基于时频双域迫零的增强OFDM移动信道估计方法
2.
The capacities of multi-input-multi-output (MIMO) systems with parallel minimum-mean-square-error (MMSE) or zero-forcing (ZF) detectors are studied in this paper.
研究了无线通信中多天线系统的信道容量,采用并行最小均方误差(MMSE)和迫零(ZF)检测算法推导出简化接收方案下系统的容量公式,分析了系统中断概率与信噪比、天线数以及传输速率的关系。
3.
The proposed MUTP fully removes the downlink multiuser interference, resulting in the zero-forcing(ZF)solution.
MUTP完全的消除了下行链路的多用户干扰,导致了迫零(ZF)解决方法。
2)  ZF
迫零
1.
Based on two low complexity algorithms BID(Bi-Directional ZF) and PIC(Parallel Interference Cancellation),we propose a novel combination detection algorithm BID-PIC of Zero-Forcing BLAST(Bell Laboratories Layered Space Time).
在有效利用双向迫零(BID-ZF)检测算法和并行干扰消除(PIC)检测算法的基础上,提出了一种ZF-BLAST的联合检测算法:BID-PIC。
2.
Among this,Zero-Forcing(ZF),Minimum Mean-Squared Error(MMSE) and Maximum Likelihood(ML) are three commonly used detection algorithms.
垂直分层空时码(VLST)是贝尔实验室提出的一种基于MIMO传输方式的空时码系统,其中,迫零检测算法(ZF)、最小均方误差检测算法(MMSE)和最大似然检测算法(ML)是常用的3种检测算法。
3.
Con- ventional zero- force channel estimation(ZF- CE) degrades the BER performance, since the frequency spectrum of the pilot sequence is not constant in envelope.
常见的迫零信道估计(ZF-CE)在导频频域非恒包络的情况下,会使信道估计误差增大而造成误码性能降低。
3)  trellis termination
迫零
1.
Turbo codes can achieve excellent performance at low signal-to-noise ratio (SNR), but the performance can be severely degraded if no trellis termination is employed.
Turbo码在低信噪比 ( SNR)下能获得优异的性能 ,但是若不进行迫零处理 ,Turbo的性能可能会受到严重的影响 。
2.
This paper introduced the coding and decoding principles of Turbo codes,analyzed the function of trellis termination bits on the performance of Turbo codes,introduced several trellis termi na-tion schemes for Turbo codes.
介绍了Turbo码的编码和译码原理,分析了迫零比特对于Turbo码的性能的影响,介绍了目前常用的几种迫零方式,并且通过仿真对迫零比特对于Turbo码的性能影响进行了研究。
4)  grouping zero forcing
分组迫零
1.
As to the downlink,a new grouping zero forcing algorithm which coordinated transmitter-receiver processing was proposed to mitigate CCI.
采用收发结合的分组迫零算法实现多用户共道干扰抑制。
5)  zero forcing equalization
迫零均衡
6)  TxZF
传输迫零
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