MIMO測(cè)量雷達(dá)目標(biāo)定位技術(shù)研究
發(fā)布時(shí)間:2018-05-08 12:27
本文選題:MIMO雷達(dá) + 波形設(shè)計(jì); 參考:《南京理工大學(xué)》2014年碩士論文
【摘要】:MIMO (Multiple Input Multiple Output)雷達(dá)是一種新型雷達(dá),MIMO的技術(shù)引自于通信技術(shù),在雷達(dá)領(lǐng)域一經(jīng)提出就受到廣泛關(guān)注,雖然MIMO雷達(dá)在實(shí)際應(yīng)用中還有很多問(wèn)題要考慮,但是作為新型高性能雷達(dá),對(duì)MIMO雷達(dá)的深入研究有很大意義。 本文首先對(duì)MIMO雷達(dá)的概念和國(guó)內(nèi)外發(fā)展動(dòng)態(tài)做了簡(jiǎn)單描述,研究共址式和統(tǒng)計(jì)式兩種形式的MIMO雷達(dá),分別對(duì)比優(yōu)缺點(diǎn),并描述MIMO雷達(dá)作為測(cè)量雷達(dá)的優(yōu)越性。接下來(lái)討論MIMO雷達(dá)發(fā)射波形的正交性能,從相關(guān)特性方面分別給出正交頻分復(fù)用-線性調(diào)頻信號(hào)、二相編碼信號(hào)、隨機(jī)多相碼信號(hào)等的仿真對(duì)比圖。然后分析MIMO雷達(dá)的信號(hào)處理流程,用MUSIC和Capon算法對(duì)目標(biāo)進(jìn)行角度估計(jì),發(fā)現(xiàn)MUSIC算法的測(cè)角精度比Capon算法高,但是計(jì)算量大。之后對(duì)比稀疏布陣情況下兩種算法對(duì)于目標(biāo)參數(shù)估計(jì)的差異,同時(shí)針對(duì)高速運(yùn)動(dòng)目標(biāo)給出探測(cè)方法,避免高速運(yùn)動(dòng)目標(biāo)距離走動(dòng)的現(xiàn)象。最后基于接收分集MIMO雷達(dá)分析多目標(biāo)情況下的定位技術(shù),完成目標(biāo)定位并畫出定位精度分析圖。 本文利用MATLAB對(duì)所述理論進(jìn)行驗(yàn)證仿真,驗(yàn)證了本文所涉及到的雷達(dá)數(shù)據(jù)處理的正確性。
[Abstract]:MIMO / multiple Input Multiple Output) radar is a new type of radar, which is introduced from the communication technology. It has attracted extensive attention once it has been put forward in the radar field. Although there are still many problems to be considered in practical application of MIMO radar, as a new type of high performance radar, it is a new type of high performance radar. The research on MIMO radar is of great significance. In this paper, the concept of MIMO radar and its development at home and abroad are briefly described in this paper. Two types of MIMO radar, coaddress radar and statistical radar, are studied. The advantages and disadvantages of MIMO radar as measurement radar are compared, and the advantages of MIMO radar as measurement radar are described. Then the orthogonal performance of MIMO radar transmitting waveform is discussed, and the simulation contrast diagrams of orthogonal frequency division multiplexing linear frequency modulation signal, two-phase coded signal, random polyphase code signal and so on are given respectively from the correlation characteristics of the quadrature frequency division multiplexing (OFDM) signal and the linear frequency modulation signal (LFM). Then the signal processing flow of MIMO radar is analyzed, and the angle estimation of the target is carried out by MUSIC and Capon algorithms. It is found that the angle measurement accuracy of MUSIC algorithm is higher than that of Capon algorithm, but the calculation amount is large. Then the difference between the two algorithms in the case of sparse array is compared. At the same time, the detection method for the high speed moving target is given to avoid the phenomenon of moving range of the high speed moving target. Finally, based on the receiver diversity MIMO radar analysis of the multi-target positioning technology, the target location is completed and the positioning accuracy analysis diagram is drawn. In this paper, MATLAB is used to verify the theory and verify the correctness of the radar data processing involved in this paper.
【學(xué)位授予單位】:南京理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類號(hào)】:TN958
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