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产生随机噪声信号进行相位分析
- 产生随机噪声信号，并对信号进行相位分析，谱分析，最后生成报告。-Random noise signal, and the phase signal analysis, spectral analysis, the final report generation.
lowSNRFreES
- 本文利用软输入软输出信道译码器输出对数似然比随相位偏差变化的规律得到低信噪比MPSK信号的 相位偏差代价函数，并提出一种求解该代价函数的迭代相位搜索方法，以相对较小的运算量实现较高精度的相 位估计。仿真表明，该算法在低信噪比下具有稳定的性能，并且能够克服大多相位估计算法都存在的相位模糊 问题。-In this paper, the soft input soft output channel decoder output log-likelihood ratio with the v
Blind-frequency-offset
- This is a file for Blind frequency offset estimation for overlap PCC-OFDM systems in presence of phase noise
grdx
- 本文提出了数字与模拟 相结合的自适应对消方案。通过对发射天线耦合过来的参考信号进行采样，转 换为数字信号后输入信号处理器中经调幅调相处理，再经过DAC转换并放大 后和接收机接收干扰信号相抵消，抵消残留信号再采样转换为数字信号后输入 到信号处理器中调整调幅调相的权值，重复上述过程，形成模拟和数字相结合 的自适应干扰抵消，最终使干扰噪声得到了衰减。 -This paper presents a combination of digital and analog adaptiv
Phase-and-Frequency-Detector
- 针对锁频锁相器( Phase and Frequency Detector, PFD) 应用于低信噪比、大频偏的条件, 通过理论分析和仿真验证阐述了窗口类型对系统频偏捕获速度、范围、噪声门限及相位噪声抖动的影响机理. 推导出等效相位噪声功率谱密度的表达式. 证明了大窗口具有更低的噪声门限和更小的稳态相位抖动, 但捕获速度较慢. 为了提高捕获速度, 对鉴相器输出值取极性运算得到改进的PFD 算法. 新算法不仅能增加鉴相增益提高捕获速度 还可以减少等效噪声功率谱密度降低相位抖动 同时新算法不需要乘法
GSoCAS-3
- 1. what kind of noise/errors/uncertainties/unmodeled things affect the GPS precision : AS, SA, orbits, clocks, ionosphere, troposphere, antenna phase centers, centering (tribrachs), etc... 2. how do we evaluate GPS uncertainties ? (difference b
Attachments_2013529
- In this post, we will derive the theoretical equation for bit error rate (BER) with Binary Phase Shift Keying (BPSK) modulation scheme in Additive White Gaussian Noise (AWGN) channel. The BER results obtained using Matlab/Octave simulation scr ipts s
PSKmodulation
- 提出一种全新的子载波调制方式盲识别算法,该算法利用ＯＦＤＭ子载波组的统计特性,然后通过推导得到新的基于混合高阶矩的特征量,使得到新的特征量不受信噪比、载波频偏与相位偏移的影响。 -Proposed a new sub-carrier modulation count Blind Identification Method, the method using the statistical characteristics of the OFDM sub-carrier group, an
Analysis-of-Frequency-Offsets-and-Phase-Noise-Eff
- Analysis of Frequency Offsets and Phase Noise Effects on an OFDM 802.11 g Transceiver
paper2
- Turbo Receiver Design for Phase Noise Mitigation in OFDM Systems
paper4
- Analysis of Oscillator Phase-Noise Effects on Self-Interference Cancellation in Full-Duplex OFDM Radio Transceivers
QPSK
- An all-optical regeneration scheme for DQPSK and QPSK signals using phase-sensitive amplifiers (PSAs) is studied and its effectiveness is investigated through numerical simulations. By leveraging the ability of PSAs to provide phase and amplitude r
paper5
- LTE论文（Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems）-Channel Estimation, Carrier Recovery, and Data Detection in the Presence of Phase Noise in OFDM Relay Systems
ofdm_paper1
- < Channel, Phase Noise, and Frequency Offset in OFDM Systems Joint Estimation, Data Detection, and Hybrid Cramer-Rao Lower Bound>>-Channel, Phase Noise, and Frequency Offset in OFDM Systems Joint Estimation, Data Detection, and Hybrid Cramer
QpskinRayleighfading
- While Multiple Phase Shift Keying (M-PSK) is much more spectrally efficient, the greater the number of smaller phase shifts, the more difficult the signal is to demodulate in the presence of noise. The benefit of M-PSK is that the constant carrier
tryfinalLMS_Equalizer
- 4. 16QAM uses a mix of amplitudes and phases to achieve 4 bits/Hz. In this example, there are three amplitudes and 12 phase shifts. While QAM is enormously efficient of spectrum, it is more difficult to demodulate in the presence of noise, wh
GS1661_Datasheet
- Operation at 1.485Gb/s, 1.485/1.001Gb/s and 270Mb/s • Supports SMPTE 292M, SMPTE 259M-C and DVB-ASI • Integrated adaptive cable equalizer • Typical equalized lengthof Belden 1694A cable: Š 230m at 1.485Gb/s Š 440m at
carrier-synxronization-OQPSK
- This article contains analyses of the performance of various carrier synchronization loops for offset quadrature phase-shift-keying (OQPSK) modulation, all motivated in one form or another by the maximum a posteriori (MAP) estimation of carrier
Chaotic-time-series-analysis
- 混沌时间序列Matlab源程序,包含时间序列的时间延迟计算，关联积分计算，相空间重构，时间序列分解，Heaviside函数的计算，延迟时间和时间窗口计算，混沌吸引子关联维计算，重构相空间进行K_L变换，混沌吸引子关联维计算，Hurst指数分析，关联维和Kolmogorov熵计算，FFT计算序列平均周期，最大lyapunov指数计算，利用互信息法求时间延迟，混沌和噪声识别的源程序。-Matlab chaotic time series source, time includes the time