[디지털통신] Matched filter, Convolution, CDMA 통신망 구현

소개글

[디지털통신] Matched filter, Convolution, CDMA 통신망 구현에 대한 보고서 자료입니다.

목차

1-(a) hadamard code 를 통한 matched filter 구현
1-(b) Convolution 의 원리 구현
2-(a) DS-CDMA 통신망에서의 Error Probability
2-(b) 8 user CDMA 통신망 구현

본문내용

or;
end
zt=[zt I];
end
a2=[0:0.01:14]; %x axis - DB scale
plot(a2,zt)
xlabel('SNR(dB)')
ylabel('P_e')
ylabel('Bit Error Probability, P_{e,k}')
grid
legend('user-1','user-2','user3','user-4','user-5','user-6','user-7','user-8')
figure(2)
semilogy(a2,zt)
xlabel('SNR(dB)')
ylabel('Bit Error Probability, P_{e,k}')
title('Error Probability for user-k')
grid
legend('user-1','user-2','user-3','user-4','user-5','user-6','user-7','user-8')


They are almost similar with picture in problem(2a). But they are different. I think this difference comes from different coding system.
As we can see in left picture- between BPSKs, difference due to coding operating, BER is changed due to many cause.
In a communication system, the receiver side BER may be affected by transmission channel noise, interference, distortion, bit synchronization problems, attenuation, wireless multipath fading, etc.
The BER may be improved by choosing a strong signal strength (unless this causes cross-talk and more bit errors), by choosing a slow and robust modulation scheme or line coding scheme, and by applying channel coding schemes such as redundant forward error correction codes.

키워드

matlab,   hadamard code,   matched filter,   convolution,   DS CDMA,   CDMA,   System,   Digital communication