【摘要】：多輸入多輸出(Multiple Input Multiple Output,MIMO)雷達(dá)是一種新體制的雷達(dá)系統(tǒng)。它借鑒無線通信系統(tǒng)中的MIMO技術(shù),通過收發(fā)分集或者波形分集技術(shù)突破了傳統(tǒng)雷達(dá)性能的限制,并實(shí)現(xiàn)了更低的截獲概率和更高的抗干擾性能,給雷達(dá)對(duì)抗帶來了新的挑戰(zhàn)。雷達(dá)對(duì)抗的前提是偵察,本文主要研究MIMO雷達(dá)的偵察與識(shí)別。首先從收發(fā)模型、信號(hào)調(diào)制方式、匹配濾波、虛擬陣元和數(shù)字波束形成等幾個(gè)主要方面較為細(xì)致地研究了MIMO雷達(dá)的工作原理,總結(jié)了MIMO雷達(dá)的特點(diǎn)。接著研究了雷達(dá)偵察系統(tǒng)的組成和工作流程,結(jié)合MIMO雷達(dá)的特點(diǎn)分析了適合的接收機(jī)體制以及參數(shù)測(cè)量和分選識(shí)別方法,討論了信號(hào)脈內(nèi)特征分析和脈內(nèi)調(diào)制參數(shù)提取對(duì)于MIMO雷達(dá)進(jìn)一步識(shí)別的必要性,并對(duì)一種基于瞬時(shí)自相關(guān)譜的MIMO雷達(dá)信號(hào)調(diào)制類型識(shí)別的方法進(jìn)行了初步的理論研究和仿真。為了更具體的描述一部MIMO雷達(dá),信號(hào)的分選和識(shí)別需要更多參數(shù)的支持。鑒于MIMO雷達(dá)信號(hào)的混疊現(xiàn)象,本文第四章重點(diǎn)研究了盲源分離算法在MIMO雷達(dá)偵察的應(yīng)用,它將為脈內(nèi)調(diào)制參數(shù)測(cè)量和估計(jì)提供一條途徑。首先研究了盲源分離算法的整個(gè)過程,分析了一種適用于該算法的雷達(dá)偵察模型,然后對(duì)該算法提出了增強(qiáng)的信號(hào)預(yù)處理步驟,即通過最小描述長度準(zhǔn)則輔助主分量分析的處理方法,實(shí)現(xiàn)信號(hào)源數(shù)估計(jì)、信號(hào)降維和降噪,以縮短獨(dú)立分量分析的計(jì)算時(shí)間、改善分離效果;以往對(duì)于盲源分離的研究中,多數(shù)采用簡(jiǎn)單的實(shí)數(shù)形式算法,而實(shí)際中多為復(fù)信號(hào),因此本文采用了復(fù)值形式的整套算法,最后對(duì)三種MIMO雷達(dá)信號(hào)進(jìn)行了分離仿真實(shí)驗(yàn),詳細(xì)分析了仿真結(jié)果,驗(yàn)證了盲源分離算法對(duì)于MIMO雷達(dá)的進(jìn)一步識(shí)別具有較大意義。
[Abstract]:Multiple input multiple output MIMO (MIMO) radar is a new radar system. Using MIMO technology for reference in wireless communication system, it breaks through the limitation of traditional radar performance by transceiver diversity or waveform diversity technology, and realizes lower probability of interception and higher anti-jamming performance, which brings new challenges to radar countermeasure. The premise of radar countermeasure is reconnaissance. This paper mainly studies the reconnaissance and recognition of MIMO radar. Firstly, the principle of MIMO radar is studied in detail from the aspects of transceiver model, signal modulation, matched filtering, virtual array element and digital beamforming, and the characteristics of MIMO radar are summarized. Then, the composition and work flow of radar reconnaissance system are studied. Combining with the characteristics of MIMO radar, the suitable receiver system and parameter measurement and sorting identification method are analyzed. In this paper, the necessity of signal in-pulse feature analysis and intra-pulse modulation parameter extraction for further identification of MIMO radar is discussed, and a method of signal modulation type recognition based on instantaneous autocorrelation spectrum is preliminarily studied and simulated. In order to describe a MIMO radar more parameters are needed for signal sorting and recognition. In view of the aliasing phenomenon of MIMO radar signals, the fourth chapter focuses on the application of blind source separation algorithm in MIMO radar reconnaissance, which will provide a way for in-pulse modulation parameter measurement and estimation. Firstly, the whole process of blind source separation algorithm is studied, and a radar reconnaissance model suitable for this algorithm is analyzed. Then, an enhanced signal preprocessing step is proposed for the algorithm. That is, by using the minimum description length criterion to assist the processing method of principal component analysis, signal source number estimation, signal reduction and noise reduction can shorten the computation time of independent component analysis and improve the separation effect. Most of them adopt simple real number algorithm, but in practice most of them are complex signals. Therefore, this paper adopts a set of complex value algorithms. Finally, three kinds of MIMO radar signals are separated and simulated, and the simulation results are analyzed in detail. It is verified that the blind source separation algorithm is of great significance for further recognition of MIMO radar.
【學(xué)位授予單位】：西安電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN958

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前1條

1 王小靜;MIMO雷達(dá)信號(hào)識(shí)別與分選方法研究[D];電子科技大學(xué);2013年

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本文編號(hào)：2138708