資源簡(jiǎn)介
matlab仿真改善因子相對(duì)于非相干積累脈沖數(shù)的關(guān)系。當(dāng)累積脈沖數(shù)較少時(shí)相干累積與非相干累積對(duì)于信號(hào)的改善相差不大,
當(dāng)累積的脈沖數(shù)較多時(shí),兩者對(duì)信號(hào)的改善效果差距較為明顯,這是因?yàn)?,雖然相干處
理對(duì)信號(hào)幅值的影響是線性的,但對(duì)于單個(gè)信號(hào) SNR 影響較小。SNR 改善因子隨著脈
沖累積個(gè)數(shù)呈線性增長(zhǎng)關(guān)系,因此改善效果差距越來(lái)越大。
當(dāng)累積的脈沖數(shù)較多時(shí),兩者對(duì)信號(hào)的改善效果差距較為明顯,這是因?yàn)?,雖然相干處
理對(duì)信號(hào)幅值的影響是線性的,但對(duì)于單個(gè)信號(hào) SNR 影響較小。SNR 改善因子隨著脈
沖累積個(gè)數(shù)呈線性增長(zhǎng)關(guān)系,因此改善效果差距越來(lái)越大。
代碼片段和文件信息
%?This?program?is?used?to?produce?Fig.?2.6a
%?It?uses?the?function?“improv_fac“
clear?all
close?all
pfa1?=?1.0e-2;
pfa2?=?1.0e-6;
pfa3?=?1.0e-10;
pfa4?=?1.0e-13;
pd1?=?.5;
pd2?=?.8;
pd3?=?.95;
pd4?=?.999;
index?=?0;
for?np?=?1:1:1000
???index?=?index?+?1;
???I1(index)?=?improv_fac?(np?pfa1?pd1);
???I2(index)?=?improv_fac?(np?pfa2?pd2);
???I3(index)?=?improv_fac?(np?pfa3?pd3);
???I4(index)?=?improv_fac?(np?pfa4?pd4);
end
np?=?1:1:1000;
semilogx?(np?I1?‘k‘?np?I2?‘k--‘?np?I3?‘k-.‘?np?I4?‘k:‘)
%set?(gca‘xtick‘[1?2?3?4?5?6?7?8??10?20?30?100]);
xlabel?(‘Number?of?pulses‘);
ylabel?(‘Improvement?factor?in?dB‘)
legend?(‘pd=.5?nfa=e+2‘‘pd=.8?nfa=e+6‘‘pd=.95?nfa=e+10‘‘pd=.999?nfa=e+13‘);
grid
?屬性????????????大小?????日期????時(shí)間???名稱
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?????文件????????746??2018-11-17?15:30??改善因子相對(duì)于非相干積累脈沖數(shù)的關(guān)系\fig2_6a.m
?????文件????????363??2018-11-17?15:30??改善因子相對(duì)于非相干積累脈沖數(shù)的關(guān)系\improv_fac.m
?????目錄??????????0??2019-12-02?20:46??改善因子相對(duì)于非相干積累脈沖數(shù)的關(guān)系
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