【摘要】：當前各種雷達體制如相控陣雷達、寬帶/超寬帶雷達、合成孔徑與逆合成孔徑雷達等,都采用數(shù)字化處理技術從回波中提取目標參數(shù)信息。壓縮感知理論能夠用遠低于奈奎斯特(Nyquist)理論的采樣速率采集信號、獲取離散數(shù)據(jù),然后通過非線性重構算法重建信號,是信號處理領域的一個革命性突破。本文對壓縮感知在雷達信號處理中的應用展開研究,擬解決目前雷達信號處理中存在的若干問題,主要內(nèi)容有： (1)遠程雷達及多目標跟蹤的相控陣雷達對目標跟蹤數(shù)據(jù)率較低,多普勒頻率的估計存在模糊問題。本文采用了一種基于壓縮感知的隨機稀疏脈沖多普勒解模糊新方法。雷達系統(tǒng)只需隨機發(fā)射稀疏的探測脈沖,通過設計相應的感知矩陣,運用壓縮感知重構算法進行信號重建,從而獲得無模糊的多普勒頻率值。研究分析得出,應用中隨機稀疏脈沖的發(fā)射時刻設置并非完全隨機,還應考慮目標的觀測數(shù)目和無模糊距離的影響。仿真表明,該方法可以解決遠程雷達的多普勒模糊問題,而且大大節(jié)省了相控陣雷達的時間資源。 (2)寬帶雷達信號的應用需要高速的模擬數(shù)字轉換器,造成雷達數(shù)據(jù)量劇增。本文通過采用寬帶逆合成孔徑雷達成像信號的方位向稀疏脈沖和距離向壓縮采樣相結合的方法,既節(jié)省了雷達時間資源,同時降低了信號采樣率和存儲傳輸代價。在成像時運用壓縮感知重構算法重建原始信號,再對重構后的成像數(shù)據(jù)在距離向和方位向分別作信號預測,從而獲得超分辨率的雷達圖像。 (3)低目標跟蹤數(shù)據(jù)率也給遠程雷達的微多普勒測量帶來較大困難。本文對低脈沖重復頻率條件下的微多普勒提取問題進行研究,提出了一種基于壓縮感知的低PRF微多普勒提取方法。該方法僅需對雷達時間資源調(diào)度進行微調(diào),通過發(fā)射隨機探測脈沖串,然后對回波進行壓縮感知信號重構和時頻分析,獲得雷達的微動特征曲線。仿真表明,壓縮感知應用于微多普勒特征提取是可行的。
[Abstract]:At present, various radar systems such as phased array radar, wideband / ultra-wideband radar, synthetic aperture radar and inverse synthetic aperture radar all use digital processing technology to extract target parameter information from echo. Compression sensing theory can acquire discrete data at a sampling rate much lower than that of Nyquist (Nyquist) theory, and then reconstruct signals by nonlinear reconstruction algorithm, which is a revolutionary breakthrough in the field of signal processing. In this paper, the application of compressed sensing in radar signal processing is studied, and some problems existing in radar signal processing are solved. The main contents are as follows: (1) the tracking data rate of remote radar and multi-target tracking phased array radar is low, and the estimation of Doppler frequency is fuzzy. In this paper, a new method of random sparse pulse Doppler ambiguity based on compressed sensing is proposed. The radar system only needs to transmit sparse detection pulse randomly. By designing the corresponding sensing matrix and using the compression perception reconstruction algorithm to reconstruct the signal, the Doppler frequency value is obtained without ambiguity. It is concluded that the emission time of the random sparse pulse is not completely random in application, and the effect of the number of observations and the non-fuzzy distance should be taken into account. Simulation results show that this method can solve the Doppler ambiguity problem of remote radar and save the time resource of phased array radar greatly. (2) the application of wideband radar signals requires high speed analog to digital converters, resulting in a sharp increase in radar data. In this paper, the method of combining azimuth sparse pulse and range compression sampling of wideband inverse synthetic aperture radar imaging signal is used to save radar time resource and reduce signal sampling rate and storage transmission cost. The original signal is reconstructed by compression perception reconstruction algorithm, and then the reconstructed image is predicted in the range and azimuth directions respectively, and the super-resolution radar image is obtained. (3) low target tracking data rate also brings great difficulty to micro Doppler measurement of remote radar. In this paper, the problem of micro-Doppler extraction under low pulse repetition rate is studied, and a low PRF micro-Doppler extraction method based on compression sensing is proposed. This method only needs to fine-tune the time resource scheduling of radar and obtain the fretting characteristic curve of radar by transmitting a random detection pulse train and then reconstructing the echo by compressed sensing signal and time-frequency analysis. Simulation results show that compression sensing is feasible for feature extraction of micro Doppler.
【學位授予單位】：廈門大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN957.51

【參考文獻】

相關期刊論文 前10條

1 劉濤;龔耀寰;;參差重復頻率分析和設計[J];電子科技大學學報;2009年02期

2 朱兆達,葉蓁如,鄔小青;一種超分辨距離多普勒成象方法[J];電子學報;1992年07期

3 石光明;劉丹華;高大化;劉哲;林杰;王良君;;壓縮感知理論及其研究進展[J];電子學報;2009年05期

4 劉天鵬;劉振;魏璽章;;基于壓縮感知的脈間捷變頻SAR成像研究[J];電子學報;2012年06期

5 王琦;周峰;邢孟道;黃金杰;保錚;;雷達成像中稀疏孔徑外推新算法[J];電子與信息學報;2007年11期

6 李金梁;王雪松;劉陽;劉進;孟剛;王濤;;雷達目標旋轉部件的微Doppler效應[J];電子與信息學報;2009年03期

7 張玉璽;孫進平;張冰塵;洪文;;基于壓縮感知理論的多普勒解模糊處理[J];電子與信息學報;2011年09期

8 徐建平;皮亦鳴;;壓縮感知SAR成像中的運動補償[J];電子與信息學報;2012年02期

9 高磊;宿紹瑩;陳曾平;;寬帶雷達Chirp回波的正交稀疏表示及其在壓縮感知中的應用[J];電子與信息學報;2011年11期

10 陳行勇;劉永祥;黎湘;郭桂蓉;;微多普勒分析和參數(shù)估計[J];紅外與毫米波學報;2006年05期

，

本文編號：2252623