Analysis of linear interpolative standard error about meteorological element field in the southeast china 中國東南地區(qū)氣象要素場線性內(nèi)插標(biāo)準(zhǔn)誤差初步分析
The improved algorithm of optimal interpolative estimation was adopted under the condition of strong signal interrelation 在信號相關(guān)性強(qiáng)的情況下,采用了最優(yōu)插值估計(jì)的改進(jìn)算法。
Some valuable conclusions are summarized by theoretical analysis and simulation experiments : from the side of signal processing , pulse jamming can be deleted by the method of time - domain sliding window accumulation and can be restored by interpolative prediction . ; gauss white nose can be attenuated while jamming disperse point - target by the method of time - frequency analysis in time - frequency domain . ; radio frequency noise jamming can be deleted by the method of average range frequency spectrum and notching in frequency domain 通過大量的理論分析和仿真實(shí)驗(yàn),得到了一批具有一定價值的結(jié)論:從信號處理的角度出發(fā),對于脈沖式干擾,能夠運(yùn)用時域滑動窗口積累的方法去掉,并且通過預(yù)測插值得到較好的恢復(fù);對于高斯白噪聲干擾,在時頻變換域內(nèi)應(yīng)用時頻分析方法可減小其對分散點(diǎn)目標(biāo)的干擾;對于射頻噪聲,通過平均距離頻頻法和頻域陷波的方法可以去掉;從改變合成孔徑雷達(dá)系統(tǒng)角度出發(fā),類似雙基地雷達(dá)能夠避免各種干擾,對發(fā)射信號進(jìn)行調(diào)幅,調(diào)相以及改變調(diào)頻斜率都是較好的抗干擾方法。
In this paper , two novel algorithms of reconstructing high resolution images from both overlapped parallel projection data and overlapped fan beam projection data with low resolution are presented . one is called virtual detector algorithm , and the other is direct reconstruction algorithm . both of the algorithms with two forms for the parallel data and fan beam data respectively are developed based on the interpolative algebraic reconstruction techniques ( iart ) 本文在研究插值代數(shù)重建法( iart )的基礎(chǔ)上,根據(jù)特別設(shè)計(jì)的數(shù)據(jù)采集模式(平行相疊采樣和扇形相疊采樣) ,提出了由相疊低分辨數(shù)據(jù)重建高分辨圖像的兩個新算法,即虛擬探測器法和直接重建法。