channel model for body area network ieee 802.15.6

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dileep narla 2011-9-26

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https://ww2.mathworks.cn/matlabcentral/answers/16734-channel-model-for-body-area-network-ieee-802-15-6

评论： Saddiqa Javaid 2022-5-30

hai, i am doing work on human motion tracking using ultra wideband . Can any one help me about matlab code for channel model relating to body area networks ( i.e, ieee 802.15.6).

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Walter Roberson 2011-9-26

At last, someone doing something different!

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Answer 1

Ib El 2016-7-10

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https://ww2.mathworks.cn/matlabcentral/answers/16734-channel-model-for-body-area-network-ieee-802-15-6#answer_228215

Hi dileep narla , I am doing the same thing : WBAN UWB, can you share with us what did you do/find please !

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Leandro Ávila 2016-8-3

编辑：Leandro Ávila 2016-8-3

Hi, I'm working with some matlab routines for a similar purpose.

Try: http://www.ieee802.org/15/pub/04/15-04-0662-02-004a-channel-model-final-report-r1.pdf

and

http://math.nist.gov/mcsd/savg/papers/15-08-0780-09-0006-tg6-channel-model.pdf

ARAVIND M T 2017-7-20

thank u soo much sir

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Answer 2

ARAVIND M T 2017-7-27

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https://ww2.mathworks.cn/matlabcentral/answers/16734-channel-model-for-body-area-network-ieee-802-15-6#answer_275799

编辑：Walter Roberson 2017-7-27

在 MATLAB Online 中打开

when I tried to run the matlab code it show error as "Function definitions are not permitted in this context" .Please give me the idea to rectify the error.I will be gratefull for your act of kindness

function [h, t, n_p] = uwb_hospban_chan_CM4(num_channels, body_direction)
% Function for getting channel realizations for UWB Hospital BAN channel CM4.
% Igor Dotlic (dotlic@nict.go.jp) March 2009.
% Input variables
% num_channels - number of channel realizations
% body_direction= 1: 0 deg, 2: 90 deg, 3: 180 deg, 4: 270 deg
% Output variables
% h - comlex multipath amplitude responses
% t - times of multipath arrivals (ns)
% n_p - number of paths for each channel realization
% Fixed model parameters
L_mean = 400; % mean number of arrival paths
lambda_inv= 0.50125; % mean time between arrivals (ns)
% Model parameters that depend on body direction
if body_direction == 1
Gamma = 44.6346; % (ns)
k_abs = 5.111739;
sigma = 7.30;
elseif body_direction == 2
Gamma = 54.2868; % (ns)
k_abs = 4.348859975;
sigma = 7.08;
elseif body_direction == 3
Gamma = 53.4186; % (ns)
k_abs = 3.638084447;
sigma = 7.03;
elseif body_direction == 4
Gamma = 83.9635; % (ns)
k_abs = 3.983472211;
sigma = 7.19;
end
% Calculating number of paths
n_p = poissrnd(L_mean, 1, num_channels);
for k_chan = 1:num_channels
n_p(k_chan) = max(n_p(k_chan), 1);
end
% Maximum number of paths
n_p_max = max(n_p);
% Allocating memory for channel realizations
h = zeros(n_p_max, num_channels);
t = zeros(n_p_max, num_channels);
% Calculating path arrival times
t_dif = exprnd(lambda_inv, num_channels, n_p_max-1);
for k_chan = 1:num_channels
t(2:n_p(k_chan),k_chan) = cumsum(t_dif(k_chan, 1:n_p(k_chan)-1));
end
% Calculating path levels
for k_chan = 1:num_channels
h(1,k_chan) = exp(i*rand*2*pi)*sqrt(10^(sigma*randn/10));
% Paths 2 onwards
for k_p = 2:n_p(k_chan)
h(endk_p, k_chan) = exp(i*rand*2*pi)*...
sqrt(exp(-t(k_p,k_chan)/Gamma-k_abs)*10^(sigma*randn/10));
end
% Normalizing current PDP realization (may be commented out)
h(:,k_chan) = h(:,k_chan)/norm(h(:,k_chan));
end