Continue to Site

Welcome to EDAboard.com

Welcome to our site! EDAboard.com is an international Electronics Discussion Forum focused on EDA software, circuits, schematics, books, theory, papers, asic, pld, 8051, DSP, Network, RF, Analog Design, PCB, Service Manuals... and a whole lot more! To participate you need to register. Registration is free. Click here to register now.

Detection in MIMO systems

Status
Not open for further replies.

medototy

Newbie level 6
Joined
Jun 19, 2015
Messages
11
Helped
0
Reputation
0
Reaction score
0
Trophy points
1
Activity points
76
Hi, pls I'll ask about the system model, in many papers the author is use the real-valued equivalent of the complex-valued model to make the derivation ease. Like the equations in attachment, or in matlab code like this: Y=HX+W
H_complex = (randn(Nr,Nt)+1j*randn(Nr,Nt))/sqrt(2); % Flat Rayleigh fading channel
w_complex = sigma(index1)*(randn(Nr,N)+1j*randn(Nr,N))./sqrt(2); % Noise signal
y_complex = H_complex*s:),(index2-1)*N+1:index2*N)+w_complex; % The received signal
H = [[real(H_complex) -imag(H_complex)]; [imag(H_complex) real(H_complex)]]; % turn into real-valued model
y = [real(y_complex); imag(y_complex)];
w = [real(w_complex); imag(w_complex)];
now I need someone show me the equations, if I want to use the complex-valued model instead of real-valued model to change my code matlab.;-)
 

Attachments

  • MIMO.jpg
    MIMO.jpg
    84.4 KB · Views: 58

Status
Not open for further replies.

Similar threads

Part and Inventory Search

Welcome to EDABoard.com

Sponsor

Back
Top