uwb_sv_params_15_4a.m

WPAN国际标准IEEE802.15发布的信道模型的MATLAB源码。包括几种室内和室外模型。都是基于改进的SV模型。应用在短距离超宽带UWB无线通信中。

function [Lam,Lmean,lambda_mode,lambda_1,lambda_2,beta,Gam,gamma_0,Kgamma, ...
        sigma_cluster,nlos,gamma_rise,gamma_1,chi,m0,Km,sigma_m0,sigma_Km, ...
        sfading_mode,m0_sp,std_shdw,kappa,fc,fs] = uwb_sv_params_15_4a( cm_num )
% Written by Sun Xu, Kim Chee Wee, B. Kannan & Francois Chin on 22/02/2004  
% Return modified S-V model parameters for standard UWB channel models
%--------------------------------------------------------------------------
% Lam    Cluster arrival rate (clusters per nsec)
% Lmean  Mean number of Clusters
% lambda_mode  Flag for Mixture of poission processes for ray arrival times
%              1 -> Mixture of poission processes for the ray arrival times
%              2 -> tapped delay line model
% lambda_1  Ray arrival rate for Mixture of poisson processes (rays per nsec)
% lambda_2  Ray arrival rate for Mixture of poisson processes (rays per nsec)
% beta      Mixture probability
%--------------------------------------------------------------------------
% Gam    Cluster decay factor (time constant, nsec)
% gamma0  Ray decay factor (time constant, nsec)
% Kgamma  Time dependence of ray decay factor
% sigma_cluster  Standard deviation of normally distributed variable for cluster energy
% nlos   Flag for non line of sight channel
%        0 -> LOS
%        1 -> NLOS with first arrival path starting at t ~= 0
%        2 -> NLOS with first arrival path starting at t = 0 and diffused first cluster
% gamma_rise  Ray decay factor of diffused first cluster (time constant, nsec)
% gamma_1     Ray decay factor of diffused first cluster (time constant, nsec)
% chi         Diffuse weight of diffused first cluster
%--------------------------------------------------------------------------
% m0     Mean of log-normal distributed nakagami-m factor
% Km     Time dependence of m0
% sigma_m0  Standard deviation of log-normal distributed nakagami-m factor
% sigma_Km  Time dependence of sigma_m0
% sfading_mode  Flag for small-scale fading
%               0 -> All paths have same m-factor distribution
%               1 -> LOS first path has a deterministic large m-factor
%               2 -> LOS first path of each cluster has a deterministic
%                    large m-factor
% m0_sp   Deterministic large m-factor
%--------------------------------------------------------------------------
% std_shdw  Standard deviation of log-normal shadowing of entire impulse response
%--------------------------------------------------------------------------
% kappa     Frequency dependency of the channel
%--------------------------------------------------------------------------
% fc        Center Frequency
% fs        Frequency Range
%
% modified by I2R

if cm_num == 1,        % Residential LOS
  % MPC arrival
  Lam = 0.047;   Lmean = 3;
  lambda_mode = 1; 
  lambda_1 = 1.54; lambda_2 = 0.15; beta = 0.095; 
  % MPC decay
  Gam = 22.61; gamma_0 =  12.53; Kgamma = 0; sigma_cluster = 2.75;
  nlos = 0; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; % dummy in this scenario
  % Small-scale Fading
  m0 = 0.67; Km = 0; sigma_m0 = 0.28; sigma_Km = 0;
  sfading_mode = 0; m0_sp = NaN;
  % Large-scale Fading -- Shadowing
  std_shdw = 2.22;
  % Frequency Dependence
  kappa = 1.12; 
  fc = 6;   % GHz
  fs = 8;   % 2 - 10 GHz
  
elseif cm_num == 2,    % Residential NLOS
  % MPC arrival
  Lam = 0.12;   Lmean = 3.5;
  lambda_mode = 1; 
  lambda_1 = 1.77; lambda_2 = 0.15; beta = 0.045; 
  % MPC decay
  Gam = 26.27; gamma_0 =  17.5; Kgamma = 0; sigma_cluster = 2.93;
  nlos = 1; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; % dummy in this scenario
  % Small-scale Fading
  m0 = 0.69; Km = 0; sigma_m0 = 0.32; sigma_Km = 0;
  sfading_mode = 0; m0_sp = NaN;
  % Large-scale Fading -- Shadowing
  std_shdw = 3.51;
  % Frequency Dependence
  kappa = 1.53; 
  fc = 6;   % GHz
  fs = 8;   % 2 - 10 GHz
  
elseif cm_num == 3,    % Office LOS
  % MPC arrival
  Lam = 0.016;   Lmean = 5.4;
  lambda_mode = 1; 
  lambda_1 = 0.19; lambda_2 = 2.97; beta = 0.0184; 
  % MPC decay
  Gam = 14.6; gamma_0 =  6.4; Kgamma = 0; sigma_cluster = 3; % assumption
  nlos = 0; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; % dummy in this scenario
  % Small-scale Fading
  m0 = 0.42; Km = 0; sigma_m0 = 0.31; sigma_Km = 0;
  sfading_mode = 2; m0_sp = 3; % assumption
  % Large-scale Fading -- Shadowing
  std_shdw = 0; %1.9;
  % Frequency Dependence
  kappa = 0.03;
  fc = 6;   % GHz
  fs = 8;   % 3 - 6 GHz

elseif cm_num == 4,    % Office NLOS
  % MPC arrival
  Lam = 0.19;  Lmean = 3.1;
  lambda_mode = 1; 
  lambda_1 = 0.11; lambda_2 = 2.09; beta = 0.0096; 
  % MPC decay
  Gam = 19.8; gamma_0 =  11.2; Kgamma = 0; sigma_cluster = 3; % assumption
  nlos = 2; 
  gamma_rise = 15.21; gamma_1 = 11.84; chi = 0.78;
  % Small-scale Fading
  m0 = 0.5; Km = 0; sigma_m0 = 0.25; sigma_Km = 0;
  sfading_mode = 0; m0_sp = NaN; % assumption
  % Large-scale Fading -- Shadowing
  std_shdw = 3.9;
  % Frequency Dependence
  kappa =0.71;
  fc = 6;   % GHz
  fs = 8;   % 3 - 6 GHz
  
elseif cm_num == 5,    % Outdoor LOS
  % MPC arrival
  Lam = 0.0448;  Lmean = 13.6;
  lambda_mode = 1; 
  lambda_1 = 0.13; lambda_2 = 2.41; beta = 0.0078;
  % MPC decay
  Gam = 31.7; gamma_0 =  3.7; Kgamma = 0; sigma_cluster = 3; % assumption
  nlos = 0; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; % dummy in this scenario
  % Small-scale Fading
  m0 = 0.77; Km = 0; sigma_m0 = 0.78; sigma_Km = 0;
  sfading_mode = 2; m0_sp = 3; % assumption
  % Large-scale Fading -- Shadowing
  std_shdw = 0.83;
  % Frequency Dependence
  kappa = 0.12;
  fc = 6;   % GHz
  fs = 8;   % 3 - 6 GHz

elseif cm_num == 6,    % Outdoor NLOS
  % MPC arrival
  Lam = 0.0243;  Lmean = 10.5;
  lambda_mode = 1; 
  lambda_1 = 0.15; lambda_2 = 1.13; beta = 0.062;
  % MPC decay
  Gam = 104.7; gamma_0 =  9.3; Kgamma = 0; sigma_cluster = 3; % assumption
  nlos = 1; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; % dummy in this scenario
  % Small-scale Fading
  m0 = 0.56; Km = 0; sigma_m0 = 0.25; sigma_Km = 0;
  sfading_mode = 0; m0_sp = NaN; % assumption
  % Large-scale Fading -- Shadowing
  std_shdw = 2; % assumption
  % Frequency Dependence
  kappa = 0.13;
  fc =6;   % GHz
  fs = 8;   % 3 - 6 GHz

elseif cm_num == 7,    % Industrial LOS
  % MPC arrival
  Lam = 0.0709;  Lmean = 4.75;
  lambda_mode = 2; 
  lambda_1 = 1; lambda_2 = 1; beta = 1; % dummy in this scenario
  % MPC decay
  Gam = 13.47; gamma_0 =  0.615; Kgamma = 0.926; sigma_cluster = 4.32;
  nlos = 0; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; % dummy in this scenario
  % Small-scale Fading
  m0 = 0.36; Km = 0; sigma_m0 = 1.13; sigma_Km = 0;
  sfading_mode = 1; m0_sp = 12.99;
  % Large-scale Fading -- Shadowing
  std_shdw = 6;
  % Frequency Dependence
  kappa = -1.103;   
  fc = 6;   % GHz
  fs = 8;   % 2 - 8 GHz
  
elseif cm_num == 8,    % Industrial NLOS
  % MPC arrival
  Lam = 0.089;  Lmean = 1; 
  lambda_mode = 2; 
  lambda_1 = 1; lambda_2 = 1; beta = 1; % dummy in this scenario
  % MPC decay
  Gam = 5.83; gamma_0 =  0.3; Kgamma = 0.44; sigma_cluster = 2.88;
  nlos = 2; 
  gamma_rise = 47.23; gamma_1 = 84.15; chi = 0.99; 
  % Small-scale Fading
  m0 = 0.3; Km = 0; sigma_m0 = 1.15; sigma_Km = 0;
  sfading_mode = 0; m0_sp = NaN; % m0_sp is assumption
  % Large-scale Fading -- Shadowing
  std_shdw = 6;
  % Frequency Dependence
  kappa = -1.427;   
  fc = 6;   % GHz
  fs = 8;   % 2 - 8 GHz
  
elseif cm_num == 9,    % Open Outdoor Environment NLOS (Fram, Snow-Covered Open Area)
  % MPC arrival
  Lam = 0.0305;  Lmean = 3.31;
  lambda_mode = 1; 
  lambda_1 = 0.0225; lambda_2 = 1; beta = 1;
  % MPC decay
  Gam = 56; gamma_0 =  0.92; Kgamma = 0; sigma_cluster = 3; % sigma_cluster is assumption
  nlos = 1; 
  gamma_rise = NaN; gamma_1 = NaN; chi = NaN; 
  % Small-scale Fading
  m0 = 4.1; Km = 0; sigma_m0 = 2.5; sigma_Km = 0;
  sfading_mode = 0; m0_sp = NaN; % m0_sp is assumption
  % Large-scale Fading -- Shadowing
  std_shdw = 3.96;
  % Frequency Dependence
  kappa = -1;   % Kappa is assumption
  fc = 6;   % GHz
  fs = 8;   % 2 - 8 GHz

else
  error('cm_num is wrong!!')
end

return