本文選題：探地雷達(dá) + 時(shí)頻聚集度��； 參考：《計(jì)算機(jī)仿真》2017年05期

【摘要】：在探地雷達(dá)信號(hào)處理中,圖像的分辨率對(duì)探地雷達(dá)的數(shù)據(jù)分析有著重要影響。由于探地雷達(dá)發(fā)射的電磁波在地下傳播的過程中會(huì)受到各種噪聲的干擾,使得探地雷達(dá)對(duì)一些微弱信號(hào)的探測效果不明顯,而傳統(tǒng)的時(shí)頻分析方法也難以檢測出這些微弱信號(hào)。針對(duì)上述問題,提出了一種新的最優(yōu)廣義S變換。新的最優(yōu)廣義S變換引入了兩個(gè)參數(shù)對(duì)時(shí)窗的形狀和大小進(jìn)行調(diào)節(jié),并且通過能量集中度準(zhǔn)則對(duì)參數(shù)進(jìn)行優(yōu)化,以提高時(shí)頻分布的分辨率。實(shí)驗(yàn)結(jié)果表明,新的最優(yōu)廣義S變換與短時(shí)傅里葉變換和S變換相比能得到更高的時(shí)頻聚集度,具有更高的時(shí)頻分辨率,在實(shí)際應(yīng)用中具有更高的實(shí)用性和靈活性,為目標(biāo)信號(hào)檢測提供了科學(xué)依據(jù)。
[Abstract]:In GPR signal processing, image resolution plays an important role in GPR data analysis. Because the electromagnetic wave emitted by ground penetrating radar is disturbed by various noises in the process of underground propagation, the detection effect of ground penetrating radar on some weak signals is not obvious, and the traditional time-frequency analysis method is difficult to detect these weak signals. In order to solve the above problems, a new optimal generalized S-transform is proposed. The new optimal generalized S-transform introduces two parameters to adjust the shape and size of the window, and optimizes the parameters through the energy concentration criterion to improve the resolution of time-frequency distribution. The experimental results show that compared with STFT and S-transform, the new optimal generalized S-transform can obtain higher time-frequency aggregation, higher time-frequency resolution, higher practicability and flexibility in practical application. It provides scientific basis for target signal detection.
【作者單位】： 中國地質(zhì)大學(xué)(武漢)自動(dòng)化學(xué)院;
【基金】：國家自然科學(xué)基金(61503351,61401409) 湖北省自然科學(xué)基金(2015CFB520)
【分類號(hào)】：TN957.51

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