本文選題：微多普勒 + 一維距離像��； 參考：《南京航空航天大學》2017年碩士論文

【摘要】：近年以來,雷達微多普勒研究方興未艾。隨著我國相繼建成了一大批大跨度和超大跨度橋梁,橋梁的安全性和耐久性已成為人們關(guān)注的熱點。研究橋梁的微多普勒現(xiàn)象有助于深入了解橋梁的力學變形和結(jié)構(gòu),從而計算出模態(tài)參數(shù)。本論文對橋梁微多普勒效應(yīng)進行廣泛而深入的研究,具體工作包括:基于IFFT變換分析頻率步進雷達的回波信號,得到目標的一維距離像。隨后推導頻率步進雷達在高斯白噪聲情況下,對目標物距離進行估計所產(chǎn)生誤差的Cramer Rao方差下限。并且深入研究一維距離像的測距精度,主要采用了直接取峰值法、波形分析法、相位差法以及Rife算法。提出了三種改進的Rife算法,實驗結(jié)果表明,改進的Rife算法綜合性能較好。針對含有微多普勒的回波進行目標物體時頻信息的特征提取工作,分析出橋梁的本征振動頻率。采用Wavelet Transform(WT)對橋梁整體架構(gòu)的本征頻率和阻尼參數(shù)進行分析。利用固有模態(tài)分解算法進行降噪處理,并且驗證了其有效性。最后利用基于EMD分解的HuangHilbert變換分析橋梁的微多普勒效應(yīng),得到橋梁的本征振動頻率。用到的分析方法有小波變換、經(jīng)驗模態(tài)分解(EMD)、Huang-Hilbert變換以及魏格納變換(WVD)等。利用已有的雷達硬件平臺編寫基于C語言的數(shù)據(jù)處理程序,整個數(shù)據(jù)處理過程包括去冗、分離,最后IFFT形成一維距離像。并且利用多幀一維距離像尖峰處的點比較信號點的相位,從而換算出物體的微小距離改變。
[Abstract]:In recent years, radar micro-Doppler research is in the ascendant. With the construction of a large number of long-span and super-span bridges in China, the safety and durability of the bridges have become the focus of attention. The study of the micro-Doppler phenomenon of the bridge is helpful to understand the mechanical deformation and structure of the bridge and to calculate the modal parameters. In this paper, the micro-Doppler effect of bridge is studied extensively and deeply, including: the echo signal of frequency stepping radar is analyzed based on IFFT transform, and the one-dimensional range profile of the target is obtained. Then the lower bound of Cramer Rao variance is derived for the error of target distance estimation in the case of Gao Si white noise. And the ranging accuracy of one dimensional range profile is studied deeply, which mainly adopts the direct peak value method, waveform analysis method, phase difference method and Rife algorithm. Three improved Rife algorithms are proposed. The experimental results show that the improved Rife algorithm has good synthesis performance. The characteristic extraction of time-frequency information of the target object is carried out for the echo with micro-Doppler, and the intrinsic vibration frequency of the bridge is analyzed. The intrinsic frequency and damping parameters of the whole bridge structure are analyzed by Wavelet Transformator (WTT). The inherent mode decomposition algorithm is used to reduce noise, and its effectiveness is verified. Finally, the HuangHilbert transform based on EMD decomposition is used to analyze the micro-Doppler effect of the bridge, and the intrinsic vibration frequency of the bridge is obtained. The analytical methods used include wavelet transform, empirical mode decomposition EMD-Hilbert transform and WVD transform. The data processing program based on C language is written by using the existing radar hardware platform. The whole data processing process includes de-redundancy, separation, and finally IFFT forms one-dimensional range profile. The phase of the signal point is compared with the point at the peak of the multi-frame one-dimensional range image, and the small distance change of the object can be obtained by comparing the phase of the signal point.
【學位授予單位】：南京航空航天大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN958

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