本文選題：激光多普勒測速(LDV)系統(tǒng)　切入點(diǎn)：頻域信號檢測　出處：《北京航空航天大學(xué)學(xué)報(bào)》2017年05期 　論文類型：期刊論文

【摘要】：信號檢測是激光多普勒測速(LDV)系統(tǒng)實(shí)現(xiàn)高精度的關(guān)鍵技術(shù),針對LDV中微弱多普勒信號的檢測,本文從噪聲在頻域中的統(tǒng)計(jì)特性出發(fā),對多普勒信號進(jìn)行帶阻濾波,結(jié)合雷達(dá)的恒虛警(CFAR)檢測技術(shù),設(shè)計(jì)了基于頻域的單元平方和自適應(yīng)閾值檢測算法以解決在低信噪比(SNR)的環(huán)境中LDV的信號檢測問題,提高LDV的信號探測能力,同時(shí)降低其虛警概率。仿真與實(shí)驗(yàn)的結(jié)果表明:該算法與固定閾值相比可以在SNR為-12 d B時(shí)實(shí)現(xiàn)信號的完全檢測,保持低虛警概率,運(yùn)算簡單,工程適用性強(qiáng)。
[Abstract]:Signal detection is the key technology to achieve high accuracy in laser Doppler velocimetry (LDV) system. Aiming at the detection of weak Doppler signals in LDV, this paper starts from the statistical characteristics of noise in frequency domain, and carries out bandstop filtering for Doppler signals. Combined with the CFAR detection technology of radar, an adaptive threshold detection algorithm based on the squared sum of units in frequency domain is designed to solve the signal detection problem of LDV in low signal-to-noise ratio (SNR) environment, and to improve the signal detection ability of LDV. At the same time, the false alarm probability is reduced. The simulation and experimental results show that compared with the fixed threshold, the proposed algorithm can detect the signal completely when the SNR is -12 dB, keep low false alarm probability, simple operation and strong engineering applicability.
【作者單位】： 北京航空航天大學(xué)儀器科學(xué)與光電工程學(xué)院;
【分類號】：TN24
，

本文編號：1651779