1.完整项目描述和程序获取
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2.部分仿真图预览
3.算法概述
该通信系统主要用于图像传输，适用于对图像质量和传输可靠性要求较高的场景，如无人机图像传输、视频监控、无线电视广播等。在复杂的电磁环境中，需要保证图像传输的稳定性和清晰度，因此采用了扩频解扩和 LDPC译码等技术来提高系统的抗干扰能力。
发射端：包括图像源、16QAM 调制器、扩频器、发射天线等。
接收端：包括接收天线、解扩器、16QAM 解调器、LDPC译码器、图像显示设备等。
4.部分源码
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dat = Rimages_snr{1};
len = 3*length(Rbin);
Rbin = dat(1:len/3);
Gbin = dat(1+len/3:2*len/3);
Bbin = dat(1+2*len/3:len);
%二进制转化为十进制
Rdec = func_bin2image([Rbin]);
Gdec = func_bin2image([Gbin]);
Bdec = func_bin2image([Bbin]);
%十进制转化为矩阵
RIimages = [reshape(Rdec,[256,256])]';
GIimages = [reshape(Gdec,[256,256])]';
BIimages = [reshape(Bdec,[256,256])]';
Images_snr_5(:,:,1) = RIimages;
Images_snr_5(:,:,2) = GIimages;
Images_snr_5(:,:,3) = BIimages;
%RGB合并
figure;
imshow(uint8(Images_snr_5));
dat = Rimages_snr{2};
len = 3*length(Rbin);
Rbin = dat(1:len/3);
Gbin = dat(1+len/3:2*len/3);
Bbin = dat(1+2*len/3:len);
%二进制转化为十进制
Rdec = func_bin2image(Rbin);
Gdec = func_bin2image(Gbin);
Bdec = func_bin2image(Bbin);
%十进制转化为矩阵
RIimages = [reshape(Rdec,[256,256])]';
GIimages = [reshape(Gdec,[256,256])]';
BIimages = [reshape(Bdec,[256,256])]';
Images_snr0(:,:,1) = RIimages;
Images_snr0(:,:,2) = GIimages;
Images_snr0(:,:,3) = BIimages;
%RGB合并
figure;
imshow(uint8(Images_snr0));
dat = Rimages_snr{3};
len = 3*length(Rbin);
Rbin = dat(1:len/3);
Gbin = dat(1+len/3:2*len/3);
Bbin = dat(1+2*len/3:len);
%二进制转化为十进制
Rdec = func_bin2image(Rbin);
Gdec = func_bin2image(Gbin);
Bdec = func_bin2image(Bbin);
%十进制转化为矩阵
RIimages = [reshape(Rdec,[256,256])]';
GIimages = [reshape(Gdec,[256,256])]';
BIimages = [reshape(Bdec,[256,256])]';
Images_snr5(:,:,1) = RIimages;
Images_snr5(:,:,2) = GIimages;
Images_snr5(:,:,3) = BIimages;
%RGB合并
figure;
imshow(uint8(Images_snr5));
if fp==1
save R_1_iamge.mat Images_snr_5 Images_snr0 Images_snr5
end
if fp==4
save R_4_iamge.mat Images_snr_5 Images_snr0 Images_snr5
end
if fp==8
save R_8_iamge.mat Images_snr_5 Images_snr0 Images_snr5
end
0sj_029m
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