十种概率密度函数文档格式.docx

上传人:b****8 文档编号:22929733 上传时间:2023-02-06 格式:DOCX 页数:30 大小:20.05KB
下载 相关 举报
十种概率密度函数文档格式.docx_第1页
第1页 / 共30页
十种概率密度函数文档格式.docx_第2页
第2页 / 共30页
十种概率密度函数文档格式.docx_第3页
第3页 / 共30页
十种概率密度函数文档格式.docx_第4页
第4页 / 共30页
十种概率密度函数文档格式.docx_第5页
第5页 / 共30页
点击查看更多>>
下载资源
资源描述

十种概率密度函数文档格式.docx

《十种概率密度函数文档格式.docx》由会员分享,可在线阅读,更多相关《十种概率密度函数文档格式.docx(30页珍藏版)》请在冰豆网上搜索。

十种概率密度函数文档格式.docx

x

(1)=x0;

n-1

x(i+1)=u*x(i)+0;

x(i+1)=mod(x(i+1),m);

x(i)=x(i)/m;

%x(n)单位化

x(n)=x(n)/m;

y=x;

 

functiony=zhishu(m,n)

%指数分布,m表示指数分布的参数,m不能为0.n表示数据量,n一般要大于1024

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

x=junyun(n);

fori=1;

n

if(x(i)==0)

x(i)=0.0001;

continue;

end

u=log(x);

y=-(1/m)*u;

functiony=ruili(m,n)

%瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

u=(-2)*log(x);

y=m*sqrt(u);

functiony=weibuer(a,b,n)

%韦布尔分布,a,b表示参数,b不能为0.n表示数据量,一般要大于1024

%a=1时,是指数分布

%a=2时,是瑞利分布

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

else

u=-log(x);

y=b*u.^(1/a);

functiony=swerling(n)

%swelingII分布

%%%%%%%%%%%%%%%%%%%%%%

r=ones(1,n);

u=junyun(n);

v=junyun(n);

if(u(i)==0)

u(i)=0.0001;

if(u(i)==v(i))

u(i)=u(i)+0.0001

elsecontinue

t=-2*log(u);

h=2*pi*v;

x=sqrt(t).*cos(h);

z=sqrt(t).*sin(h);

y=(r/2).*(x.^2+z.^2);

functiony=bernoulli(p,n)

%产生数据量为n的贝努利分布,其中p属于(0-1)之间。

%-----------------------

%

y=zeros(1,n);

if(u(i)<

=p)

y(i)=1;

y(i)=0;

functiony=duishuzhengtai(a,b,n)

%产生对数正态分布,a,b为随机分布的参数,n为数据量

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

x=gaussian(n);

u=sqrt(b)*x+a;

y=exp(u);

functiony=kaifeng(m,n)

%产生开丰分布,其中m代表开丰分布的自由度,n表示产生的点数量

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

if(floor(m/2)==m/2)

fori=1:

m/2

[x1,x2]=gaussian(n);

y(j)=x1(j)^2+x2(j)^2+y(j);

else

floor(m/2)

end

x=gaussian(n);

y(j)=y(j)+x(j)^2;

functiony=dajiama(a,b,n)

%产生伽马随机分布的数据,a、b为随机分布的参数,数据量为n

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

k=1;

if(a<

1)

while(k<

=n)

x1=junyun

(1);

x2=junyun

(1);

y2=(exp

(1)+a)/exp

(1)*x2;

if(y2>

p=-log(((exp

(1)+a)/exp

(1)-y2)/a);

if(x1<

p^(a-1))

y(k)=p;

k=k+1;

p=y2^(1/a);

exp(-p))

y(k)=p;

elseif(a>

=1)

v=(2*a-1)^(-0.5)*log(x1/(1-x2));

x=a*exp(v);

z=x1^2*x2;

w=a-log(4)+(a+sqrt(2*a-1))*v-x;

if(w>

=log(z))

y(k)=x;

y=b*y;

functiony=beitafenbu(a1,a2,n)

%产生贝他分布的随机数,其中a1、a2是贝他分布的参数,n代表数据量

x1=dajiama(a1,1,n);

x2=dajiama(a2,1,n);

y=x1./(x1+x2);

function[y1,y2]=gaussian(n)

%产生数据量为n的两个相互独立高斯分布y1、y2

%---------------------------------------

y1=zeros(1,n);

y2=zeros(1,n);

while(k<

u1=junyun

(1);

u2=junyun

(1);

v1=2*u1-1;

v2=2*u2-1;

s=v1^2+v2^2;

if(s>

elseif(s==0)

y1(k)=v1*sqrt(-2*log(s)/s);

y2(k)=v2*sqrt(-2*log(s)/s);

functiony=canshu(x);

y=ones(1,2);

n=length(x);

y

(1)=sum(x)/n;

z=x-y

(1);

z=z.^2;

y

(2)=sum(z)/(n-1);

functiony=correlation(x)

%计算x的自相关函数

%%%%%%%%%%%%%%%%%%%%%%%%%

x1(i)=x(n+1-i);

y=conv(x,x1);

二.三种相关杂波

functiony=gaussianpu(x)

%由数据量为n的高斯白噪声产生向量为n,功率谱为高斯型的高斯随机向量

N=0:

20;

f=20;

T=1/256;

c=2*f*T*sqrt(pi)*exp(-4*f^2*pi^2*T^2*N.^2);

fork=1:

fori=20:

-1:

if((k-i)<

=0)

y(k)=y(k)+c(21-i)*x(k-i);

40

y(k)=y(k)+c(i-19)*x(k-i);

y=0.5*y;

functiony=weibuerpu(a,b,n)

%由数据量为n的高斯白噪声产生向量为n,功率谱为高斯型的韦布尔分布的随机向量

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%[z1,z2]=gaussian(n);

z1=5*z1;

z2=5*z2;

y1=sqrt(b^a/2)*z1;

y2=sqrt(b^a/2)*z2;

x1=gaussianpu(y1);

x2=gaussianpu(y2);

x1=sqrt(b^a/2)*x1;

x2=sqrt(b^a/2)*x2;

y=x1.^2+x2.^2;

b=canshu(y);

y=y-b

(1);

functiony=duishuzhengtaipu(a,b,n)

%由数据量为n的高斯白噪声产生向量为n,功率谱为高斯型的对数正态随机向量

%a表示标准方差,b表示均值

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

z1=gaussian(n);

x=gaussianpu(z1);

y=a*x;

y=exp(y);

%去掉直流分量

functiony=swerling2pu(n)

%由数据量为n的高斯白噪声产生向量为n,功率谱为高斯型的斯维凌II型随机向量

r=6;

[z1,z2]=gaussian(n);

x1=gaussianpu(z1);

x2=gaussianpu(z2);

y=r*y;

functiony=kexipu(m,n)

%由数据量为n的高斯白噪声产生向量为n,功率谱为柯西谱的高斯随机向量

wc=2*pi*256;

T0=1/(256*m);

y

(1)=wc*T0*x

(1);

fori=2:

y(i)=wc*T0*x(i)+exp(-wc*T0)*y(i-1);

%y=y-b

(1);

     %去掉直流分量   

y=conv(y,y);

y=fft(y);

y=abs(y);

i=1:

2*n-1;

plot(i,y)

functionplotpu(x)

%绘出随机数的功率谱密度函数频域的图形。

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

w=fft(x);

w=abs(w);

v=2*pi/length(w);

i=0:

v:

(2*pi-v);

plot(i,w);

三.雷达系统仿真

function[t,s,g,f0,fs,f1]=huibo

%产生目标回波信号x,系统噪声y,地物杂波z以及回波p

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

f0=3*10^7;

%发射信号频率

w=0;

%发射信号初始相位

c=3*10^8;

%光速

l=c/f0;

%雷达信号波长(载波波长)

R=40000;

%目标范围

Vd=200;

%雷达与目标之间的径向速度

fd=2*Vd/l;

%多普勒频率

Tr=600/f0;

%脉冲重复周期

N=10;

%雷达脉冲串长度

f1=f0/5;

%调频带宽是发射信号频率的1/5

k=10*f1/Tr;

fs=3*f0;

%仿真采样频率

Ts=1/fs;

%Tt=2*R/c;

Btar=4*pi*R/l;

%

M=floor(Tr*fs);

%一个脉冲重复周期内的采样点数M=600

mt1=floor(2*Tr*fs/5);

%mt1=720

mt2=floor(3*Tr*fs/10);

%mt2=540

mt3=floor(7*Tr*fs/10);

%mt3=1260

mt4=floor(3*Tr*fs/5);

%mt4=1080

mt5=mt1-mt2;

%mt5=180

Vgain=6;

s=zeros(M,N);

%回波幅度起伏

form=1:

M

forn=1:

N

v(m,n)=(u(mt1-m)-u(mt2-m))*Vgain*cos(2*pi*f0*(m-mt2)*Ts+2*pi*k*Ts*(m-mt2)/2*(m-mt2)*Ts+2*pi*fd*n*Tr);

g(m,n)=(u(mt3-m)-u(mt4-m))*Vgain*cos(2*pi*(f0*(m-mt4)*Ts+k*Ts*(m-mt4)/2*(m-mt4)*Ts));

%u(t)是发射信号包络

M/10

t(i)=Vgain*cos(2*pi*(k*Ts*(M/10-i)/2*(M/10-i)*Ts));

forn=1:

y(1:

M,n)=gaussian(M)'

;

%系统噪声服从高斯分布

z(1:

M,n)=swerling2pu(M)'

%地物杂波服从swerling2型分布

s=v+g+y+z;

%s=v+g;

[m,n]=size(s);

x=zeros(1,m*n);

q=zeros(1,m*n);

x=s(:

)'

q=g(:

p=x;

length(p)-1;

subplot(2,1,1);

plot(i,x),title('

目标回波信号'

);

%目标回波信号x

subplot(2,1,2);

l=canshu(x);

b=x-l

(1);

plotpu(b),title('

目标回波频谱'

functiony=gaofang(s,f0,fs,f1)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%高频放大器

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

[M,N]=size(s);

Vgain=3;

%高放增益

w1=(f0-4*f1/3)*2*pi/fs;

%w1=26pi/45

w3=(f0-f1/3)*2*pi/fs;

%w3=29pi/45

w2=(f0+7*f1/3)*2*pi/fs;

%w2=37pi/45

w4=(f0+4*f1/3)*2*pi/fs;

%w4=34pi/45

th=min((w3-w1),(w2-w4));

%w3-w1=pi/15,w2-w4=pi/15

M1=ceil(6.6*pi/th)+1;

%M1=99

%n=[0:

M1-1];

w5=(w1+w3)/2;

w6=(w4+w2)/2;

%w5=11pi/18,w6=71pi/90

h=wide(w6,M1)-wide(w5,M1);

w=(hamming(M1))'

h=h.*w;

L=length(h);

s=Vgain*s;

z=zeros(M+L-1,N);

y=zeros(M,N);

K=ceil(L/2);

10

z(1+(j-1)*M/10:

j*M/10+L-1,i)=conv(h,s(1+(j-1)*M/10:

j*M/10,i)'

y(1+(j-1)*M/10:

j*M/10,i)=z(1+(j-1)*M/10+K:

j*M/10+K,i);

w=y(:

subplot(3,1,1);

length(w)-1;

plot(i,w),title('

高放'

subplot(3,1,2);

plotpu(w),title('

频谱'

subplot(3,1,3);

plotpu(h),title('

幅频特性'

functiony=hunpin(s,f0,fs,f1)

%%%%%%%%%%%%%%%%%%%%%%%%%%进行混频,输出为中频信号

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

M-1;

z1=cos(2*pi*2*f0*i/3/fs);

y1=zeros(M,N);

y1(1:

M,i)=(z1.*s(1:

M,i)'

w1=(f0-5*f1)*2*pi/(3*fs);

%w1=pi/9

w3=(f0-2*f1)*2*pi/(3*fs);

%w3=1.6pi/9

w2=(f0+8*f1)*2*pi/(3*fs);

%w2=0.4pi

w4=(f0+5*f1)*2*pi/(3*fs);

%w4=pi/3

%w3-w1=0.2pi/3,w2-w4=0.2pi/3

%w5=1.3pi/9,w6=1.1pi/3

wth=(hamming(M1))'

h=h.*wth;

v=y1(:

subplot(4,1,1);

混频'

subplot(4,1,2);

plotpu(v),title('

subplot(4,1,3);

plotpu(w);

subplot(4,1,4);

functiony=zhongfang(s,f0,fs,f1)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%中频放大器

Vgain=5;

%中放增益

中放'

function[I,Q]=xiangganjianbo(s,fs,f0,f1)

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%相位相干检波

z1=cos(2*pi*f0*i/(3*f

展开阅读全文
相关资源
猜你喜欢
相关搜索
资源标签

当前位置:首页 > 求职职场 > 简历

copyright@ 2008-2022 冰豆网网站版权所有

经营许可证编号:鄂ICP备2022015515号-1