基于壓縮感知的跳頻信號(hào)檢測(cè)與參數(shù)估計(jì)技術(shù)
發(fā)布時(shí)間：2018-09-17 13:39
【摘要】：隨著軍事通信技術(shù)的快速發(fā)展,跳頻通信信號(hào)趨向于大帶寬、高載波,導(dǎo)致針對(duì)其的電子偵察面臨著高采樣率,海量數(shù)據(jù)存儲(chǔ)及處理的壓力,因此傳統(tǒng)的基于奈奎斯特采樣定理的跳頻信號(hào)檢測(cè)與估計(jì)技術(shù)面對(duì)這類問題時(shí)有著很大的缺陷,以現(xiàn)有的器件水平在具體的實(shí)現(xiàn)中會(huì)很困難或不可實(shí)現(xiàn)。壓縮感知(compressed sensing)是一種利用信號(hào)稀疏特性而可進(jìn)行欠采樣觀測(cè)的信號(hào)處理方式,通過它可以以接近信號(hào)攜帶有用信息的采樣頻率完成對(duì)寬帶稀疏信號(hào)的采樣,相對(duì)Nyquist采樣頻率,此時(shí)的采樣頻率會(huì)遠(yuǎn)遠(yuǎn)低于它。本文針對(duì)跳頻信號(hào)大帶寬范圍采樣及數(shù)據(jù)處理的問題,將壓縮感知應(yīng)用到跳頻信號(hào)的檢測(cè)與估計(jì)技術(shù)上,詳細(xì)分析了針對(duì)非合作寬帶高速跳頻信號(hào)的欠采樣處理以及在此基礎(chǔ)上后續(xù)的信號(hào)檢測(cè)與參數(shù)技術(shù),給出了完整的系統(tǒng)設(shè)計(jì)方案、原理分析和仿真驗(yàn)證。本文的主要內(nèi)容有以下幾個(gè)方面:(1)以寬帶調(diào)制轉(zhuǎn)換器為基礎(chǔ),完成了針對(duì)非合作寬帶跳頻信號(hào)的欠采樣接收技術(shù)研究,分析了跳頻信號(hào)的分段稀疏表示,欠采樣系統(tǒng)、重構(gòu)系統(tǒng),然后在原MWC的基礎(chǔ)上,提出了一種基于帶通采樣模型的寬帶調(diào)制轉(zhuǎn)換器,其相對(duì)原來的基于低通模型的寬帶調(diào)制轉(zhuǎn)換器,有效地減少了系統(tǒng)中偽隨機(jī)碼片序列的符號(hào)交替速率,降低了系統(tǒng)實(shí)現(xiàn)的難度。最后從通道數(shù)、碼片序列的隨機(jī)特性以及重構(gòu)算法三個(gè)方面分析了它們對(duì)系統(tǒng)性能的影響。(2)使用系統(tǒng)在欠采樣條件下完成了對(duì)跳頻信號(hào)的檢測(cè),并且在有定頻干擾信號(hào)存在的情況下使用一種子空間投影法抑制住定頻干擾;在欠采樣后重構(gòu)跳頻信號(hào)與非重構(gòu)跳頻信號(hào)兩種情況下,研究了針對(duì)跳頻信號(hào)的參數(shù)估計(jì)技術(shù),為欠采樣后非重構(gòu)跳頻參數(shù)估計(jì)提供了新的研究思路。
[Abstract]:With the rapid development of military communication technology, frequency-hopping communication signals tend to have large bandwidth and high carrier, which leads to the pressure of high sampling rate, mass data storage and processing for electronic reconnaissance. Therefore, the traditional frequency-hopping signal detection and estimation technology based on Nyquist sampling theorem has great defects in the face of this kind of problem, and it will be difficult or impossible to implement in concrete implementation with the existing device level. Compressed sensing (compressed sensing) is a signal processing method which can be used for under-sampling and observation by using the sparse characteristic of signal. It can sample wideband sparse signal at the sampling frequency close to the signal carrying useful information, relative to the sampling frequency of Nyquist. At this point, the sampling frequency will be much lower than it. In order to solve the problem of sampling and data processing of frequency-hopping signals in large bandwidth, the compressed sensing is applied to the detection and estimation of frequency-hopping signals. The under-sampling processing of the non-cooperative broadband high-speed frequency hopping signal and the subsequent signal detection and parameter technology are analyzed in detail. The complete system design scheme, principle analysis and simulation verification are given. The main contents of this paper are as follows: (1) based on the broadband modulation converter, the undersampling and receiving techniques for the non-cooperative broadband frequency-hopping signals are studied, and the piecewise sparse representation and under-sampling systems of the frequency-hopping signals are analyzed. Then, based on the original MWC, a broadband modulation converter based on bandpass sampling model is proposed, which is compared with the original broadband modulation converter based on low-pass model. The symbol alternation rate of pseudorandom sequence in the system is reduced effectively, and the difficulty of system implementation is reduced. Finally, the effects of channel number, random characteristics of code sequence and reconstruction algorithm on the system performance are analyzed. (2) the frequency hopping signal detection is completed under the condition of under-sampling. In the presence of fixed frequency interference signal, a subspace projection method is used to suppress the fixed frequency interference, and the parameter estimation technique for frequency hopping signal is studied in the case of reconstructing frequency hopping signal and non reconfigurable frequency hopping signal after under-sampling. It provides a new research idea for the estimation of non-reconfigurable FH parameters after undersampling.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.23
本文編號(hào)：2246091
[Abstract]:With the rapid development of military communication technology, frequency-hopping communication signals tend to have large bandwidth and high carrier, which leads to the pressure of high sampling rate, mass data storage and processing for electronic reconnaissance. Therefore, the traditional frequency-hopping signal detection and estimation technology based on Nyquist sampling theorem has great defects in the face of this kind of problem, and it will be difficult or impossible to implement in concrete implementation with the existing device level. Compressed sensing (compressed sensing) is a signal processing method which can be used for under-sampling and observation by using the sparse characteristic of signal. It can sample wideband sparse signal at the sampling frequency close to the signal carrying useful information, relative to the sampling frequency of Nyquist. At this point, the sampling frequency will be much lower than it. In order to solve the problem of sampling and data processing of frequency-hopping signals in large bandwidth, the compressed sensing is applied to the detection and estimation of frequency-hopping signals. The under-sampling processing of the non-cooperative broadband high-speed frequency hopping signal and the subsequent signal detection and parameter technology are analyzed in detail. The complete system design scheme, principle analysis and simulation verification are given. The main contents of this paper are as follows: (1) based on the broadband modulation converter, the undersampling and receiving techniques for the non-cooperative broadband frequency-hopping signals are studied, and the piecewise sparse representation and under-sampling systems of the frequency-hopping signals are analyzed. Then, based on the original MWC, a broadband modulation converter based on bandpass sampling model is proposed, which is compared with the original broadband modulation converter based on low-pass model. The symbol alternation rate of pseudorandom sequence in the system is reduced effectively, and the difficulty of system implementation is reduced. Finally, the effects of channel number, random characteristics of code sequence and reconstruction algorithm on the system performance are analyzed. (2) the frequency hopping signal detection is completed under the condition of under-sampling. In the presence of fixed frequency interference signal, a subspace projection method is used to suppress the fixed frequency interference, and the parameter estimation technique for frequency hopping signal is studied in the case of reconstructing frequency hopping signal and non reconfigurable frequency hopping signal after under-sampling. It provides a new research idea for the estimation of non-reconfigurable FH parameters after undersampling.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.23
【參考文獻(xiàn)】
相關(guān)期刊論文 前2條
1 王豐華;沙志超;劉章孟;黃知濤;;基于貝葉斯稀疏學(xué)習(xí)的多跳頻信號(hào)頻率跟蹤方法[J];電子與信息學(xué)報(bào);2013年06期
2 王建雄;張立民;張媛;夏沭濤;;基于循環(huán)平穩(wěn)特性的跳頻信號(hào)盲檢測(cè)算法[J];艦船電子工程;2011年09期
，本文編號(hào)：2246091
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