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snr估计
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  snr estimation
     An Algorithm of SNR Estimation for Non-Constant Envelope Signal in the AWGN Channel
     AWGN信道中非恒包络信号SNR估计算法
短句来源
     New SNR Estimation Methods in Digital QPSK Receiver
     QPSK数字接收机中的SNR估计的新方法
短句来源
     On the Maximum-Likelihood SNR Estimation Algorithm for MPSK Signals
     MPSK信号的最大似然SNR估计方法
短句来源
     The new blind SNR estimation algorithm has broad estimation range, good performance and low computational complexity for M=2 (BPSK), but the performance degrades while M is increasing.
     新的盲SNR估计算法对于BPSK信号具有估计范围广、精度高和复杂度小的特点,但是当M 增加时性能会明显下降。
短句来源
     The data-aimed (DA) Signal-to-Noise Ratio (SNR) estimation algorithm, Decision-Directed (DD) SNR estimation algorithm and a new blind SNR estimation algorithm for MPSK signals are presented in this paper with maximum-likelihood principle.
     该文利用最大似然准则分别推导了对于MPSK信号的数据辅助SNR估计方法、判决指向SNR估计方法 和一种新的盲信噪比估计方法。
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  “snr估计”译为未确定词的双语例句
     Besides, the implementation of a hybrid error correction control scheme is heavily dependent on the proper channel estimation algorithm.
     本文以无线分组数据传输混合差错控制技术为中心,重点研究了码合并时间分集对HARQ性能的影响,等增益合并(EGC)分集接收的系统性能,高速Turbo并行编译码技术,以及基于重复信息的SNR估计算法等。
短句来源
     Finally, the result of several SNR estimators in performance and calculation were compared and analyzed.
     最后,文章对比了几种SNR估计子的性能与运算量。
短句来源
     Based on Fuzzy arithmetic, a database to evaluate the precision of GPS was introduced.
     基于模糊算法建立了由GDOP和SNR估计定位精度的模糊规则数据库;
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  相似匹配句对
     b) a G-M estimator of ω'1α, ω'2β and ω'1α+ω'2β under L (Xβ, Aα; δ21V, δ22U} respectively.
     b)G-M估计
短句来源
     SNR Online Estimation in Turbo Decoding
     Turbo译码中SNR的即时估计
短句来源
     New SNR Estimation Methods in Digital QPSK Receiver
     QPSK数字接收机中的SNR估计的新方法
短句来源
     A newmethod for the estimation of exponent regularity of the kind wavelet and related scalefunction is proposed.
     Daubechies的估计
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  snr estimation
Corresponding research indicated that SNR estimation deviation degraded the performance of Turbo decoding significantly.
      
In this paper, MAP decoding algorithm with SNR estimation deviation was investigated in detail, and the degradation mechanism of Turbo decoding was explained analytically.
      
The theoretical analysis and computer simulation disclosed the specific reasons for the performance degradation when SNR estimation was less than the actual value, and for the higher sensitivity of SNR estimation to long-frame Turbo codes.
      
Subspace-based noise variance and SNR estimation for MIMO OFDM systems
      
This paper proposes a subspace-based noise variance and Signal-to-Noise Ratio (SNR) estimation algorithm for Multi-Input Multi-Output (MIMO) wireless Orthogonal Frequency Division Multiplexing (OFDM) systems.
      
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In mobile communications systems, the signal noise ratio SNR, which is used as a criterion for evaluating the signals quality, is adopted in many applications such as radio resource management algorithms and adaptive transmission. At the same time, the performance of a system depends on the accuracy of the SNR estimation in some degree. In this paper, two efficient algorithms for SNR estimation, signal projection algorithm and subspace eigenvalues decomposition algorithm, are introduced and their veracity,...

In mobile communications systems, the signal noise ratio SNR, which is used as a criterion for evaluating the signals quality, is adopted in many applications such as radio resource management algorithms and adaptive transmission. At the same time, the performance of a system depends on the accuracy of the SNR estimation in some degree. In this paper, two efficient algorithms for SNR estimation, signal projection algorithm and subspace eigenvalues decomposition algorithm, are introduced and their veracity, instantaneity and robustness are analysed by computer simulation.

在移动通信系统中 ,信噪比 (SNR)作为评估信道质量的一种标准 ,可以用于资源动态分配及自适应传输等场合 .其估计的准确性也在很大程度上影响了系统的性能 .文中用计算机仿真的方法分析了子空间投影、子空间特征值分解两种SNR估计算法的准确性、实时性、稳健性 .

Because of its excellent ability of forward error correction, turbo codes catch the eyes of many investigators in wireless communications and also in other fields of communications, and they becomes the key technology of channel coding in CDMA2000 and WCDMA system. Because in its iterative decoding process information of SNR is needed to produce proper posterior information of sub-decoders, this paper mainly explores how the final performance relies on correctness of SNR, and then provides a method to estimate...

Because of its excellent ability of forward error correction, turbo codes catch the eyes of many investigators in wireless communications and also in other fields of communications, and they becomes the key technology of channel coding in CDMA2000 and WCDMA system. Because in its iterative decoding process information of SNR is needed to produce proper posterior information of sub-decoders, this paper mainly explores how the final performance relies on correctness of SNR, and then provides a method to estimate it and demonstrate the good performance of the estimation by simulation.

Turbo码由于其卓越的前向纠错能力在当今无线通信领域甚至有线通信领域受到了普遍的重视 ,WCDMA以及 CDMA2 0 0 0已经将其作为信道编码的关键技术。它的迭代译码过程需要 SNR的确切信息 ,以此来获得单个译码器输出的后验信息 ,因此主要探索了最终译码性能对 SNR正确性的依赖程度 ,并且提供了一种 SNR的估计方法 ,通过仿真显示出这种估计方法能够提供良好的译码性能。

The data-aimed (DA) Signal-to-Noise Ratio (SNR) estimation algorithm, Decision-Directed (DD) SNR estimation algorithm and a new blind SNR estimation algorithm for MPSK signals are presented in this paper with maximum-likelihood principle. The detail performance analysis, computer simulation and performance comparing with other SNR estimation algorithms are completed. The analysis and simulation results show that the DA algorithm has a perfect performance and as good as the performance lower bounds. The performance...

The data-aimed (DA) Signal-to-Noise Ratio (SNR) estimation algorithm, Decision-Directed (DD) SNR estimation algorithm and a new blind SNR estimation algorithm for MPSK signals are presented in this paper with maximum-likelihood principle. The detail performance analysis, computer simulation and performance comparing with other SNR estimation algorithms are completed. The analysis and simulation results show that the DA algorithm has a perfect performance and as good as the performance lower bounds. The performance of DD algorithm depends directly on the accuracy of decision, so it is good when the SNR is high. But when the SNR is low and, especially, less than 0dB, the estimation has relatively great bias. The new blind SNR estimation algorithm has broad estimation range, good performance and low computational complexity for M=2 (BPSK), but the performance degrades while M is increasing.

该文利用最大似然准则分别推导了对于MPSK信号的数据辅助SNR估计方法、判决指向SNR估计方法 和一种新的盲信噪比估计方法。文章对这些算法的性能进行了分析和计算机仿真,并与其它一些SNR估计算法进 行了比较。分析和仿真的结果显示数据辅助的SNR方法性能优越,很好地符合了信噪比估计性能下限(CRLB)。 判决指向算法性能依赖于判决的准确程度,在高信噪比时性能较好:而在低信噪比条件时,特别是小于0dB以后 其估计有较大偏差。新的盲SNR估计算法对于BPSK信号具有估计范围广、精度高和复杂度小的特点,但是当M 增加时性能会明显下降。

 
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