高動態(tài)飛行器信號捕獲算法研究
本文選題:高動態(tài)飛行器 + 信號捕獲; 參考:《西安電子科技大學(xué)》2014年碩士論文
【摘要】:高動態(tài)飛行器在近幾年來成為各國研究的熱點,通信是飛信器發(fā)展的重要保障,而信號捕獲則是通信系統(tǒng)的第一步工作,能否實現(xiàn)信號的快速準(zhǔn)確捕獲,將會影響到整個通信系統(tǒng)的性能。飛行器的高動態(tài)包括高速度和高加速度等特點,這些特點導(dǎo)致了通信信號的多普勒效應(yīng),引起信號中包含多普勒頻率偏移和多普勒變化率等畸變,與其他通信方式有較大差別。本文對受到多普勒效應(yīng)影響的信號快速捕獲問題進行了研究。首先,介紹了高動態(tài)飛行器的發(fā)展背景,分析了高動態(tài)飛行器的物理模型,根據(jù)其物理模型討論了多普勒效應(yīng)對信號的影響,并對高動態(tài)飛行器的通信信號進行了建模。然后,介紹并比較了當(dāng)前對于存在多普勒頻移的擴頻信號的常用捕獲算法,包括滑動相關(guān)法、匹配濾波法以及基于FFT的快速捕獲算法等。利用離散傅里葉變換的移位性質(zhì),推導(dǎo)了以頻譜移位代替?zhèn)鹘y(tǒng)載波相乘的快速算法,通過仿真驗證了該算法和傳統(tǒng)方法具有相同捕獲效果的同時,提高了捕獲速度。提出了利用兩級FFT級聯(lián)的捕獲算法,對信號頻譜進行相關(guān)運算,直接捕獲信號的多普勒頻移,以實現(xiàn)擴頻信號的快速捕獲,并將該分析了算法特點,通過仿真與傳統(tǒng)的捕獲算法在捕獲性能和速度等方面進行比較。最后,介紹了分?jǐn)?shù)階傅里葉變換原理以及其離散變換的快速實現(xiàn)方法。介紹了傳統(tǒng)的載波捕獲方法中,基于多普勒變化率搜索的二維FFT算法。討論了利用分?jǐn)?shù)階傅里葉變換對存在多普勒變化率的載波信號進行捕獲,從原理上分析了和傳統(tǒng)方法的異同點,并對捕獲效果進行比較。提出對分?jǐn)?shù)階傅里葉變換的兩種改進策略,一種是將二維FFT和FRFT相結(jié)合,分別進行多普勒變化率的粗細(xì)捕獲,另一種是將搜索范圍不斷劃分,逐步細(xì)化搜索階數(shù)以捕獲變化率。兩種策略能夠在提高捕獲精度的同時,降低運算復(fù)雜度。本文還介紹了非純載波信號的分?jǐn)?shù)階傅里葉變換,探討了分?jǐn)?shù)階傅里葉變換在干擾捕獲與識別方面的應(yīng)用前景。
[Abstract]:In recent years, high dynamic aircraft has become the focus of research in various countries. Communication is an important guarantee for the development of the communication system, and signal acquisition is the first step of the communication system. The performance of the whole communication system will be affected by the fast and accurate capture of the signal. The high dynamic features of the aircraft include high speed and high acceleration, etc. These characteristics lead to the Doppler effect of the communication signal, which causes the distortion of the Doppler frequency offset and the Doppler change rate, which are different from other modes of communication. This paper studies the problem of fast acquisition of signals affected by the Doppler effect. First, the development background of the high dynamic vehicle is introduced, and the analysis of the development of the high dynamic vehicle is introduced. The physical model of a high dynamic vehicle is made. The effect of Doppler effect on the signal is discussed according to its physical model, and the communication signal of high dynamic vehicle is modeled. Then, the common acquisition method for the spread spectrum signal with Doppler shift is introduced and compared, including the sliding correlation method, the matched filtering method and the base. The fast acquisition algorithm of FFT, and so on. Using the shift property of the discrete Fourier transform, a fast algorithm using the frequency shift instead of the traditional carrier multiplication is derived. The simulation shows that the algorithm has the same capture effect as the traditional method and improves the capture speed. A two stage FFT cascade acquisition algorithm is proposed. The correlation operation of the spectrum is carried out to capture the Doppler shift of the signal directly to realize the fast acquisition of the spread spectrum signal. The characteristics of the algorithm are analyzed and compared with the traditional capture algorithm in the acquisition performance and speed. Finally, the principle of fractional Fu Liye transform and the fast realization of its discrete transformation are introduced. In this paper, a two-dimensional FFT algorithm based on the Doppler change rate search is introduced in the traditional carrier acquisition method. The fractional Fourier transform is used to capture the carrier signal of the Doppler change rate. The similarities and differences between the traditional method and the traditional method are analyzed in principle, and the fractional Fourier transform is put forward. The two improvement strategy is to combine the two-dimensional FFT and FRFT to capture the Doppler change rate respectively. The other is to divide the search range and gradually refine the search order to capture the change rate. The two strategy can improve the acquisition precision while reducing the complexity of the calculation. The application of fractional Fourier transform in jamming acquisition and recognition is discussed.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:V443.1;TN911.7
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