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⛄ 内容介绍
一种基于Alamouti编码的通信方法及系统,其中,方法包括:发射端对远端用户的数据或发送给远端用户的数据进行Alamouti编码,并且对近端用户的数据在两个时隙内分别发送近端用户的数据的信号及近端用户的数据的共轭信号;接收端根据第一次估计得到的信道信息对接收到的信号进行远端用户信号的解调和Alamouti解码,并且根据第二次估计得到的信道信息对解调后的远端用户的信号进行重构,并由接收到的总信号减去远端用户的信号,且对近端用户的信息进行解码,以获取远端用户和近端用户的信息.该方法可以提升信息的传输可靠性,使得解调的误码率更低,从而有效提高信息传输的可靠性,降低系统的误码率.
⛄ 部分代码
clear; clc;
ber=[];
BER=[];
snr=[0:10];
for i=0:10
ber=[ber Alamoudi_2T1R(i,500)];
BER=[BER Alamoudi_2T2R(i,500)];
end
N = 10^3; % Total no of of bits per simulation per SNR_dB
bitstrm = []; %initialisation of matrices
for i = 1:N
bitstrm = [bitstrm (-1+2*round(rand(1,1)))]; %creating random data
end
Eb_No_dB = [0:10]; % multiple Eb/No values
for i = 1:length(Eb_No_dB)
sig = sqrt(1/10^(Eb_No_dB(i)/10)); % noise variance
n = sig*(randn(1,N) + 1i*randn(1,N)); % Additive white gaussian noise prototype
h = randn(1,N) + 1i*randn(1,N); % Rayleigh channel
y = h.*bitstrm + n; % bit-streams corrupted by Rayleigh channel & AWGN
y_rcv = y./h; % equalization of received data by channel information at the receiver
Data_rcv = Refresh(real(y_rcv)); % Regenerating the received bits by threshold comparison
Err(i) = sum(sum(round(bitstrm) ~= round(Data_rcv))); % computing the bit error in each simulation
end
simBer = Err/N; % average BER on total no. of bits simulated
simBer = berfit(Eb_No_dB,simBer);
Eb_No_lin = 10.^(Eb_No_dB/10);
theoryBer = 0.5.*(1-sqrt(Eb_No_lin./(Eb_No_lin+1)));
ber = berfit(snr,ber);
BER = berfit(snr,BER);
% plotting the simulated results
semilogy(snr,ber,'--*g');
hold on;
semilogy(snr,BER,'--*r');
semilogy(Eb_No_dB,theoryBer,'m--p');
semilogy(Eb_No_dB,simBer,'b--*');
axis([0 10 10^-5 1])
legend('simulated Alamouti 2T1R','simulated Alamouti 2T2R','BPSK over Rayleigh channel- Theoretical','BPSK over Rayleigh channel- Simulated');
xlabel('snr Eb/No(dB)');
ylabel('Bit error probability(BER)');
title('simulated performances of Alamouti 2T1R & 2T2R schemes for BPSK');
⛄ 运行结果
⛄ 参考文献
[1]朱红海. 采用分集Alamouti编码的WiMAX增强系统的仿真[D]. 华中科技大学.
[2]杨丽园, 陈理想, 陈万里,等. 基于Alamouti编码的通信方法及系统:, CN108616333A[P]. 2018.
