基于4G基站信號的被動雷達相關技術研究
發(fā)布時間:2018-09-09 13:26
【摘要】:隨著現(xiàn)代科學技術的發(fā)展,傳統(tǒng)體制雷達越來越受到電子干擾、隱身技術、反輻射導彈、超低空突防等四大威脅。被動雷達由于不需要自身發(fā)射信號,而是利用第三方外輻射源信號,因此具有對抗四大威脅的良好特性。近年來,被動雷達受到越來越多的關注。移動通信信號具有廣覆蓋、方便組網等優(yōu)點,是一種優(yōu)良的外輻射源信號,因此受到被動雷達研究者的重視。本文研究基于4G基站信號的被動雷達系統(tǒng),完成的主要研究工作如下:1、深入分析4G移動通信系統(tǒng)的技術特點,根據(jù)雷達探測理論,分析了LTE信號的距離和多普勒分辨率;詳細分析了LTE信號的模糊函數(shù),并具體解釋了產生旁瓣的原因;通過和其他常見外輻射源信號的對比,驗證了LTE信號具有良好的特性;利用雙基地雷達方程計算了4G基站信號被動雷達的理論威力范圍,完成了對基于4G基站信號的被動雷達的可行性分析。2、針對目標回波信號中含有強大的直達波和多徑等雜波問題,研究了直達波和多徑雜波對消技術。分析比較了LMS算法、NLMS算法、ECA算法和RLS算法這四種算法在4G基站信號被動雷達系統(tǒng)中雜波抑制性能。綜合考慮雜波抑制比和權值收斂速度等指標,采用了基于RLS算法的自適應雜波對消算法,并通過仿真實驗,驗證了RLS算法的有效性。3、針對多目標檢測過程中傳統(tǒng)雷達目標方法無法檢測出弱目標信號的問題,研究了基于壓縮感知理論的4G基站信號被動雷達系統(tǒng)目標檢測方法。將壓縮感知理論的稀疏重構思想應用到被動雷達目標檢測中,并在多個目標環(huán)境的仿真實驗中,檢測出強弱目標,驗證了本文所采用方法的有效性,為被動雷達目標檢測提供了另一種性能較好的算法。
[Abstract]:With the development of modern science and technology, the traditional radar is more and more threatened by electronic jamming, stealth technology, anti-radiation missile and ultra-low altitude penetration. Passive radar does not need to transmit signal itself, but uses the signal of external emitter of third party, so it has the good characteristic of countering the four major threats. In recent years, passive radar has attracted more and more attention. Mobile communication signal has the advantages of wide coverage, convenient networking and so on. It is an excellent external emitter signal, so it has been paid attention to by passive radar researchers. In this paper, the passive radar system based on 4G base station signal is studied. The main research work is as follows: 1. The technical characteristics of 4G mobile communication system are deeply analyzed. According to the radar detection theory, the range and Doppler resolution of LTE signal are analyzed. The ambiguity function of LTE signal is analyzed in detail, and the reason of producing sidelobe is explained concretely, and the comparison of LTE signal with other common external emitter signals proves that LTE signal has good characteristics. The theoretical power range of 4G base station signal passive radar is calculated by using bistatic radar equation. The feasibility analysis of passive radar based on 4G base station signal is completed. Aiming at the problem that the target echo signal contains powerful direct wave and multipath clutter, the technology of direct wave and multipath clutter cancellation is studied. This paper analyzes and compares the clutter suppression performance of LMS algorithm and RLS algorithm in 4G base station signal passive radar system. Considering the index of clutter suppression ratio and weight convergence rate, the adaptive clutter cancellation algorithm based on RLS algorithm is adopted, and the simulation experiment is carried out. The effectiveness of RLS algorithm is verified. Aiming at the problem that traditional radar target method can not detect weak target signal in the process of multi-target detection, the passive radar system target detection method of 4G base station signal based on compression sensing theory is studied. The sparse reconstruction of compressed sensing theory is applied to passive radar target detection, and the strong and weak targets are detected in the simulation experiments in many target environments. The effectiveness of the proposed method is verified. It provides another algorithm with good performance for passive radar target detection.
【學位授予單位】:電子科技大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:TN929.5;TN95
本文編號:2232511
[Abstract]:With the development of modern science and technology, the traditional radar is more and more threatened by electronic jamming, stealth technology, anti-radiation missile and ultra-low altitude penetration. Passive radar does not need to transmit signal itself, but uses the signal of external emitter of third party, so it has the good characteristic of countering the four major threats. In recent years, passive radar has attracted more and more attention. Mobile communication signal has the advantages of wide coverage, convenient networking and so on. It is an excellent external emitter signal, so it has been paid attention to by passive radar researchers. In this paper, the passive radar system based on 4G base station signal is studied. The main research work is as follows: 1. The technical characteristics of 4G mobile communication system are deeply analyzed. According to the radar detection theory, the range and Doppler resolution of LTE signal are analyzed. The ambiguity function of LTE signal is analyzed in detail, and the reason of producing sidelobe is explained concretely, and the comparison of LTE signal with other common external emitter signals proves that LTE signal has good characteristics. The theoretical power range of 4G base station signal passive radar is calculated by using bistatic radar equation. The feasibility analysis of passive radar based on 4G base station signal is completed. Aiming at the problem that the target echo signal contains powerful direct wave and multipath clutter, the technology of direct wave and multipath clutter cancellation is studied. This paper analyzes and compares the clutter suppression performance of LMS algorithm and RLS algorithm in 4G base station signal passive radar system. Considering the index of clutter suppression ratio and weight convergence rate, the adaptive clutter cancellation algorithm based on RLS algorithm is adopted, and the simulation experiment is carried out. The effectiveness of RLS algorithm is verified. Aiming at the problem that traditional radar target method can not detect weak target signal in the process of multi-target detection, the passive radar system target detection method of 4G base station signal based on compression sensing theory is studied. The sparse reconstruction of compressed sensing theory is applied to passive radar target detection, and the strong and weak targets are detected in the simulation experiments in many target environments. The effectiveness of the proposed method is verified. It provides another algorithm with good performance for passive radar target detection.
【學位授予單位】:電子科技大學
【學位級別】:碩士
【學位授予年份】:2016
【分類號】:TN929.5;TN95
【參考文獻】
相關期刊論文 前10條
1 唐波;程水英;張浩;;外輻射源雷達模糊函數(shù)副峰抑制算法研究[J];電子學報;2015年06期
2 萬顯榮;岑博;程豐;饒云華;龔子平;;基于CMMB的外輻射源雷達信號模糊函數(shù)分析與處理[J];電子與信息學報;2011年10期
3 宋杰;何友;蔡復青;唐小明;;基于非合作雷達輻射源的無源雷達技術綜述[J];系統(tǒng)工程與電子技術;2009年09期
4 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
5 耿妍;張端金;;自適應濾波算法綜述[J];信息與電子工程;2008年04期
6 朱家兵;洪一;;基于復倒譜技術的無源雷達直達波提純方法[J];現(xiàn)代雷達;2007年08期
7 楊建廣;吳道慶;;調頻廣播臺直達波與地雜波強度分析[J];現(xiàn)代雷達;2005年12期
8 辛云宏;楊萬海;;被動多站多目標的測量數(shù)據(jù)關聯(lián)算法研究[J];宇航學報;2005年06期
9 王俊,保錚,張守宏;無源探測與跟蹤雷達系統(tǒng)技術及其發(fā)展[J];雷達科學與技術;2004年03期
10 張軍華;“靜默哨兵”—— 一種新型無源反隱身雷達[J];現(xiàn)代防御技術;2000年01期
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