發(fā)布時(shí)間：2018-04-04 16:22

  本文選題：真假彈頭識別　切入點(diǎn)：MIMO雷達(dá)　出處：《電子科技大學(xué)》2014年碩士論文

【摘要】：真假彈頭的識別研究一直是雷達(dá)目標(biāo)探測領(lǐng)域的熱點(diǎn)。多輸入多輸出(Multiple Input Multiple Output,MIMO)雷達(dá)作為新型雷達(dá)系統(tǒng),分為共置天線MIMO雷達(dá)和分置天線MIMO雷達(dá)。由于MIMO雷達(dá)具有廣闊的觀測區(qū)域和靈活的工作方式,因此在目標(biāo)檢測上有顯著的優(yōu)勢。本文擬采用分置天線MIMO雷達(dá)對真假彈頭的識別算法進(jìn)行研究,建立分析真假彈頭目標(biāo)多維細(xì)微運(yùn)動(dòng)狀態(tài)空間模型,提出分置天線MIMO雷達(dá)檢測真假彈頭的新型檢測算法和分布式檢測算法。本文的主要工作和貢獻(xiàn)如下幾個(gè)方面:本文首先歸納分析了彈道目標(biāo)在飛行過程中各階段的運(yùn)動(dòng)特征及差異。結(jié)合分析彈道目標(biāo)運(yùn)動(dòng)的幾種數(shù)學(xué)坐標(biāo)系,對彈道目標(biāo)在中段飛行的質(zhì)心運(yùn)動(dòng)軌跡和典型微動(dòng)運(yùn)動(dòng)進(jìn)行分析,建立彈道目標(biāo)運(yùn)動(dòng)分析的狀態(tài)空間模型。分置天線MIMO雷達(dá)可以從空間不同角度獨(dú)立探測目標(biāo),具有空間分集增益,有利于提升MIMO雷達(dá)對真假彈頭檢測識別的能力。本文簡要介紹分置天線MIMO雷達(dá)的主要原理,建立彈道目標(biāo)的回波信號模型,研究MIMO雷達(dá)觀測彈道目標(biāo)的分布式處理方案。為進(jìn)一步研究真假彈頭識別的分布式檢測算法研究實(shí)現(xiàn)提供數(shù)學(xué)模型基礎(chǔ)。本文建立了分布式MIMO雷達(dá)中的真假彈頭目標(biāo)狀態(tài)空間模型,將真假彈頭目標(biāo)的特征差異體現(xiàn)在狀態(tài)轉(zhuǎn)移矩陣上,通過對狀態(tài)轉(zhuǎn)移矩陣的辨別,實(shí)現(xiàn)對真假彈頭的識別。針對常規(guī)復(fù)合假設(shè)檢驗(yàn)的傳統(tǒng)方法需要估計(jì)狀態(tài)轉(zhuǎn)移矩陣、實(shí)時(shí)性不高的缺陷,本文采用一種新的局部最優(yōu)檢測算法來進(jìn)行真假彈頭的識別。仿真結(jié)果表明,提出的局部最優(yōu)檢測算法能夠滿足真假彈頭識別實(shí)時(shí)性的要求,同時(shí)具有較好的檢測性能。為提高M(jìn)IMO雷達(dá)識別真假彈頭的檢測速度,并考慮到分置天線MIMO雷達(dá)的收發(fā)路徑多且分布地域廣的特點(diǎn),為了減小接收天線之間的通信負(fù)荷和數(shù)據(jù)傳輸量,本文考慮采取基于分布式檢測理論的檢測算法對真假彈頭進(jìn)行檢測。通過優(yōu)化局部檢測器設(shè)計(jì)提升各個(gè)子塊的檢測概率、選擇最優(yōu)的融合中心融合準(zhǔn)則、選擇合適的子塊劃分策略等優(yōu)化手段對分布式檢測進(jìn)行性能優(yōu)化和提升。
[Abstract]:The recognition of real and false warheads has been a hot spot in the field of radar target detection.As a new type of radar system, multiple Input Multiple output Mimo radar can be divided into co-antenna MIMO radar and split-antenna MIMO radar.Because MIMO radar has wide observation area and flexible working mode, it has obvious advantages in target detection.This paper presents a new detection algorithm and a distributed detection algorithm for real and false warhead detection by split antenna MIMO radar.The main work and contributions of this paper are as follows: firstly, the motion characteristics and differences of ballistic targets in each stage of flight are summarized and analyzed.In this paper, the trajectory of center of mass and typical fretting motion of ballistic target in the middle of the flight are analyzed, and the state space model of motion analysis of ballistic target is established by combining several kinds of mathematical coordinates to analyze the motion of ballistic target.The separated antenna MIMO radar can detect targets independently from different angles of space and has spatial diversity gain, which is helpful to enhance the ability of MIMO radar to detect and identify real and false warheads.In this paper, the principle of MIMO radar with split antenna is briefly introduced, the echo signal model of ballistic target is established, and the distributed processing scheme for observation of ballistic target by MIMO radar is studied.It provides a mathematical model foundation for further research on distributed detection algorithm for true and false warhead identification.In this paper, the state space model of true and false warhead targets in distributed MIMO radar is established. The characteristic difference of true and false warhead targets is reflected in the state transfer matrix. The recognition of true and false warhead is realized by discriminating the state transfer matrix.In order to overcome the defect that the traditional method of conventional composite hypothesis testing needs to estimate the state transition matrix and the real-time performance is not high, a new local optimal detection algorithm is used to identify the true and false warheads.The simulation results show that the proposed local optimal detection algorithm can meet the real-time requirements of true and false warhead recognition and has good detection performance.In this paper, the detection algorithm based on distributed detection theory is considered to detect true and false warhead.By optimizing the local detector design to improve the detection probability of each sub-block, select the optimal fusion center fusion criteria, select appropriate sub-block partition strategy to optimize and improve the performance of distributed 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】：2014
【分類號】：TJ760;TN957.51

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本文編號：1710732