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Hi Everyone,

I am a new user of Matlab, and i would definitely need you help.

I have written a program that Compute the GDOP of four different positions and it run fine with correct result. Now i want to extend it to fine the minimum of these 4 result in order to show that it is the best position.

Here is my code:

I am a new user of Matlab, and i would definitely need you help.

I have written a program that Compute the GDOP of four different positions and it run fine with correct result. Now i want to extend it to fine the minimum of these 4 result in order to show that it is the best position.

Here is my code:

C#

% Exercise n. 1 - 1 % Computing the GDOP at position A,B,C and D phi_1 = ((3*pi)/4); phi_2 = (pi / 2); % The case of a 3 synchronized transmitters at Point A,B,C,D disp('With 2 transmitter plus transmitter at either Point A,B,C,D and synchronous receiver:') % Linearization % The linearization point is the origin of the coordinate system phi_A = pi/2; a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_A), sin(phi_A)]; H = [a1; a2 ; a3]; % Geometric matrix G = inv(H.' * H); HDOP_A = sqrt(G(1,1) + G(2,2)) ; GDOP_A = HDOP_A phi_B = (2*pi)/3; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_B), sin(phi_B)]; % Note: different structure of H matrix H = [a1; a2; a3]; % Geometric matrix G = inv(H.' * H); HDOP_B = sqrt(G(1,1) + G(2,2)); GDOP_B = HDOP_B phi_C = pi; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_C), sin(phi_C)]; % Note: different structure of H matrix H = [a1; a2; a3]; % Geometric matrix G = inv(H.' * H); HDOP_C = sqrt(G(1,1) + G(2,2)); GDOP_C = HDOP_C phi_D = (3*pi) / 2; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_D), sin(phi_D)]; % Note: different structure of H matrix H = [a1; a2; a3]; % Geometric matrix G = inv(H.' * H); HDOP_D = sqrt(G(1,1) + G(2,2)); GDOP_D = HDOP_D % The case of 3 unsynchronized transmitters at Point,A,B,C,D disp('With 2 transmitter plus transmitter at either Point A,B,C,D and asynchronous receiver:') phi_A = pi/2; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_A), sin(phi_A)]; H = [a1, 1; a2, 1; a3, 1]; % Geometric matrix G = inv(H.' * H); % warning if H.'*H is singular HDOP_UA = sqrt(G(1,1) + G(2,2)); GDOP_UA = sqrt(trace(G)) phi_B = (2*pi)/3; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_B), sin(phi_B)]; H = [a1, 1; a2, 1; a3, 1]; % Geometric matrix G = inv(H.' * H); % warning if H.'*H is singular HDOP_UB = sqrt(G(1,1) + G(2,2)) ; GDOP_UB = sqrt(trace(G)) phi_C = pi; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_C), sin(phi_C)]; H = [a1, 1; a2, 1; a3, 1]; % Geometric matrix G = inv(H.' * H); HDOP_UC = sqrt(G(1,1) + G(2,2)); GDOP_UC = sqrt(trace(G)) phi_D = (3*pi) /2; % Linearization % The linearization point is the origin of the coordinate system a1 = [cos(phi_1), sin(phi_1)]; a2 = [cos(phi_2), sin(phi_2)]; a3 = [cos(phi_D), sin(phi_D)]; H = [a1, 1; a2, 1; a3, 1]; % Geometric matrix G = inv(H.' * H); % warning if H.'*H is singular HDOP_UD = sqrt(G(1,1) + G(2,2)) ; GDOP_UD = sqrt(trace(G))

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