發(fā)布時間：2018-09-09 13:26

【摘要】：隨著現(xiàn)代科學(xué)技術(shù)的發(fā)展,傳統(tǒng)體制雷達(dá)越來越受到電子干擾、隱身技術(shù)、反輻射導(dǎo)彈、超低空突防等四大威脅。被動雷達(dá)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(dá)受到越來越多的關(guān)注。移動通信信號具有廣覆蓋、方便組網(wǎng)等優(yōu)點(diǎn),是一種優(yōu)良的外輻射源信號,因此受到被動雷達(dá)研究者的重視。本文研究基于4G基站信號的被動雷達(dá)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(shù)特點(diǎn),根據(jù)雷達(dá)探測理論,分析了LTE信號的距離和多普勒分辨率;詳細(xì)分析了LTE信號的模糊函數(shù),并具體解釋了產(chǎn)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(dá)方程計算了4G基站信號被動雷達(dá)的理論威力范圍,完成了對基于4G基站信號的被動雷達(dá)的可行性分析。2、針對目標(biāo)回波信號中含有強(qiáng)大的直達(dá)波和多徑等雜波問題,研究了直達(dá)波和多徑雜波對消技術(shù)。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(dá)系統(tǒng)中雜波抑制性能。綜合考慮雜波抑制比和權(quán)值收斂速度等指標(biāo),采用了基于RLS算法的自適應(yīng)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(biāo)檢測過程中傳統(tǒng)雷達(dá)目標(biāo)方法無法檢測出弱目標(biāo)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(dá)系統(tǒng)目標(biāo)檢測方法。將壓縮感知理論的稀疏重構(gòu)思想應(yīng)用到被動雷達(dá)目標(biāo)檢測中,并在多個目標(biāo)環(huán)境的仿真實驗中,檢測出強(qiáng)弱目標(biāo),驗證了本文所采用方法的有效性,為被動雷達(dá)目標(biāo)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(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2016
【分類號】：TN929.5;TN95

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本文編號：2232511