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MATLAB_rpcedure_basic
- 信道估计程序,包括对多路径信号经过加权后进行最佳信噪比和相位估计-Channel estimation procedures, including multipath signals after weighting the best signal-to-noise ratio and phase estimation
05
- DOA估计与信噪比的关系的MUSIC算法,MATLAB仿真源代码,可完成仿真图形。-DOA Estimation relations with the signal-to-noise ratio MUSIC algorithm, MATLAB simulation source code, to be completed by the simulation graphics.
sumple
- 研究了合成权值的补偿相位估计性能,分析了天线数对算法性能的影响,适合于低信噪比-Studied the synthetic weight to compensate the phase estimation performance, analyzed the antenna effect the performance of the algorithm, is suitable for low signal-to-noise ratio
Wiener
- 设计一维纳滤波器 (1)产生三组观测数据:首先根据s(n)=a s(n-1)+w(n)产生信号s(n),将其加噪(信噪比分别为20dB,10 dB,6 dB),得到观测数据x1(n), x2(n), x31(n). (2)估计xi(n),i=1,2,3的AR模型参数。假设信号长度为L,AR模型阶数为N,分析实验结果,并讨论改变L,N对实验结果的影响。 -A Wiener filter design (1) to produce three sets of observations:
classic-music
- 经典MUSIC算法,在不同信噪比环境下的估计结果-Classical MUSIC algorithm, the estimation results under different SNR environment
WMUSIC
- WMUSIC在不同信噪比下的估计结果分析对比-WMUSIC estimation results of the analysis and comparison of different SNR
pinlv
- 采用改进的RIFE算法,在低信噪比下也能较准确的估计出信号频率-RIFE using improved algorithms at low SNR can be more accurate estimate of the frequency of the signal
wideband-DOA-estimation
- 提出了一种新的宽带DOA估计方法:频域子空间正交性测试方法(TOFS:Test of orthogonality of frequency sub- space)。该方法通过同时测试频域信号共同带宽内各频段噪声子空间与阵列流形之间的正交性来进行DOA估计。与宽带相干信号子空间方法不同,TOFS方法不需要任何初始值的预估及聚焦操作。与宽带非相干信号子空间方法也不同,TOFS方法同时测试各频段噪声子空间与阵列流形之间的正交性。本文仿真了TOFS与IMUSIC、CSSM、TOPS的性能比较。仿真结果表
DOA-by-modified--MUSIC-algorithm
- MUSIC算法能有效地估计出独立信号源的DOA,并且在模型准确的前提下,对DOA的估计可以达到任意精度 但对相干信号源和相隔比较近的小信噪比信号源,MUSIC算法就不能估计出它们的DOA了。这里通过理论推导提出了一种改进MUSIC算法,计算机仿真的结果表明了该改进MUSIC算法既能够有效地估计出独立信号源的DOA,也能有效地估计出相关信号源和相隔比较近的小信噪比信号源的DOA,从而证明了这种改进MUSIC算法的合理性。-MUSIC algorithm can estimate the DOA
process
- 给定入射信号角度分别为 -22度 ,6度,18度时,不同信噪比情况下各种空间谱估计算法得到的曲线图-given incident signals point to-22 degrees, 6 degrees, 18 degrees, the signal to noise ratio under different space spectral estimation algorithm of the curve
matlab
- 频率估计 1)产生一个单频实信号,加上一定信噪比的噪声。 2)对含噪声的信号进行频率估计。估计方法可以查阅相关文献。 3)统计估计出来的频率和真实频率之间的误差。 4)验证该频率估计算法在不同信噪比、不同数据长度下、不同频率时候的性能。 -Frequency estimation 1) produce a single-frequency real signal, plus a certain SNR noise. 2) noisy signal frequency esti
Spectral
- 用最大熵法作出N=32信噪比S/N=30db,两正弦信号的归一化频率的情况下,编程计算出该信号的最大熵谱估计。-Made using the maximum entropy method N = 32 signal to noise ratio S/N = 30db, the case of two sinusoidal signals normalized frequency programmed to calculate the maximum entropy spectral estima
4x4_MIMO
- 该程序给出了一个4*4_MIMO的实现,包含802.11n信道模型和AWGN信道模型,同时给出了在此模型下的时频估计计算,最后得到信噪比与误码率之间的关系曲线图。-The program gives a 4* 4_MIMO of implementation, including 802.11n channel models and AWGN channel model, while at the same time gives this model the frequency estimati
music.2
- 对波达方向进行估计,通过MUSIC算法估计波达方向,利用MATLAB进行仿真,观察DOA估计与信噪比的关系-For DOA estimate DOA estimated by MUSIC algorithm using MATLAB simulation, observation DOA Estimation and SNR relationship
gonglvpuguji
- 一、实验要求 信号为两个正弦信号加高斯白噪声,各正弦信号的信噪比均为10dB,长度为N,信号频率分别为和,初始相位,取,取不同数值:0.3,0.25。为采样频率。分别用Levinson递推法和Burg法进行功率谱估计,并分析改变数据长度、模型阶数对谱估计结果的影响。-Power spectrum estimation
radar
- 分析雷达信号方向基于四阶累积量的MUSIC算法可以实现阵列扩展,提高了DOA估计精度、分辨率,降低阵列信号处理对信噪比的要求。-Analysis of radar signal direction of MUSIC algorithm based on fourth-order cumulants can realize array extension, improve the DOA estimation precision, resolution, reduce the requiremen
OFDM_ML
- 对OFDM的载波频偏进行估计和补偿,采用ML最大似然估计算法,有不同频偏值和不同信噪比的仿真结果图。-For OFDM carrier frequency offset estimation and compensation, using ML maximum likelihood estimation, have different values and different SNR offset simulation results shown in Fig.
Power-spectrum-estimation
- 功率谱估计 信号为两个正弦信号加高斯白噪声,各正弦信号的信噪比均为10dB,长度为N,信号频率分别为 和 ,初始相位 ,取 , 取不同数值:0.3,0.25。 为采样频率。分别用Levinson递推法和Burg法进行功率谱估计,并分析改变数据长度、模型阶数对谱估计结果的影响。-Power spectrum estimation signal into two sinusoidal signals applied Gaussian white noise, the SNR of each si
ofdm
- 本例是基于OFDM系统模型下的信道估计,根据不同信道估计进行的信噪比性能比较。-This example is based on the channel estimation OFDM system model, noise performance depending on a channel estimation performed comparing.
DSP_3_17_3
- 产生随机信号观测样本,不同信噪比和归一化频率。用Leivison-Durbin迭代算法求解AR模型的系数并估计功率谱。-Generate random signal observation samples, different signal to noise ratio and normalized frequency.Use Leivison- Durbin iterative algorithm of AR model coefficients and estimate the power