發(fā)布時(shí)間：2018-04-10 00:16

  本文選題：MIMO雷達(dá)　切入點(diǎn)：波形設(shè)計(jì)　出處：《電子科技大學(xué)》2014年博士論文

【摘要】：多輸入多輸出(multiple-input multiple-output, MIMO)雷達(dá)近年來受到雷達(dá)界和相關(guān)學(xué)術(shù)界科研人員的高度關(guān)注和研究。相比傳統(tǒng)的相控陣?yán)走_(dá),MIMO雷達(dá)利用波形分集和空間分集特性能夠極大地提高角度分辨率、改進(jìn)目標(biāo)參數(shù)的識(shí)別能力、提高低速目標(biāo)和弱目標(biāo)的檢測(cè)以及改善目標(biāo)參數(shù)估計(jì)等方面性能,并能夠突破傳統(tǒng)體制雷達(dá)的性能限制。圍繞MIM O雷達(dá)的波形分集與目標(biāo)分辨、及處理復(fù)雜等帶來的新問題,本論文提出MIMO雷達(dá)波形設(shè)計(jì)以及參數(shù)估計(jì)的新方法。本論文的主要工作及創(chuàng)新概況如下：(1)窄帶MIMO雷達(dá)系統(tǒng)中的方向圖合成和波形優(yōu)化設(shè)計(jì)。首先,針對(duì)MIMO雷達(dá)中全方位(包括主瓣和旁瓣區(qū)域)同時(shí)逼近期望方向圖的設(shè)計(jì)準(zhǔn)則和求解方法,構(gòu)造了一種MIM O方向圖匹配設(shè)計(jì)協(xié)方差矩陣的統(tǒng)一優(yōu)化框架,已有的一些方法可視作本框架下的特例。其次,實(shí)際中希望設(shè)計(jì)的方向圖在主瓣區(qū)域逼近,而旁瓣區(qū)域能夠控制到一定值,為此,提出一類將主瓣、旁瓣區(qū)域分開控制的MIMO雷達(dá)方向圖合成,其包括三種具體的設(shè)計(jì)方法,其目的是保證期望區(qū)域信號(hào)無失真?zhèn)鬏?且維持旁瓣低于預(yù)定的門限值。(2)單向和寬角度的寬帶MIMO雷達(dá)發(fā)射波形設(shè)計(jì)。首先,考慮設(shè)計(jì)的波形具有單�；虻偷姆寰�(PAPR)特性,提出一種基于單向發(fā)射方向圖合成的波形設(shè)計(jì)方法。其次,圍繞寬角度、寬帶的MIMO雷達(dá)方向圖合成,提出一種混合范數(shù)的寬角度的發(fā)射方向圖合成方法,與最新的WBFIT方法相比,提出的方法設(shè)計(jì)方向圖的主瓣在寬帶頻率段基本上保持恒定,且旁瓣控制在期望值-40dB以下。(3)靜止目標(biāo)的DOA及其反射信號(hào)的幅度估計(jì)。針對(duì)Capon和APES不能同時(shí)獲得較高的分辨率和準(zhǔn)確的幅度估計(jì)問題,提出一種基于稀疏表示的自適應(yīng)參數(shù)估計(jì)方法。相比LS, Capon和APES,在目標(biāo)θ=-25°和θ3=-21°很接近的情況,提出的方法也能提供精確的目標(biāo)參數(shù)估計(jì)(4)運(yùn)動(dòng)目標(biāo)的距離-方位-多普勒三維參數(shù)估計(jì)。針對(duì)運(yùn)動(dòng)目標(biāo)的距離-方位-多普勒三維估計(jì)問題,提出一種迭代重復(fù)加權(quán)l(xiāng)q最小化方法。相比重復(fù)加權(quán)L1范數(shù),提出的方法不需借助凸優(yōu)化軟件求解,只需通過多次迭代求解便可提供精確的目標(biāo)三維估計(jì)；與DAS、最新的IAA和IAA-R相比,提出的方法不僅能在距離-方位二維截面的真實(shí)位置處獲得精確地估計(jì),而且也能在距離-多普勒單元處獲得精確地估計(jì)。以上提出的MIMO雷達(dá)的波形設(shè)計(jì)與參數(shù)估計(jì)方法,都已利用MIMO雷達(dá)仿真實(shí)驗(yàn)數(shù)據(jù)進(jìn)行了仿真,驗(yàn)證了新方法的有效性。
[Abstract]:Multi-input multiple-output multiple-input multiple-output (MIMOR) radar has attracted much attention and research in recent years.Compared with traditional phased array radar, MIMO radar can greatly improve the angle resolution and the recognition ability of target parameters by using waveform diversity and spatial diversity.The performance of low speed target and weak target detection and target parameter estimation can be improved, and the performance limitation of traditional system radar can be broken.In this paper, a new method of waveform design and parameter estimation for MIM O radar is proposed, which brings about some new problems such as waveform diversity and target resolution, and complex processing.The main work and innovation of this thesis are as follows: 1) pattern synthesis and waveform optimization in narrowband MIMO radar system.Firstly, a unified optimization framework of MIM O pattern matching design covariance matrix is constructed for the design criterion and solution method of omnidirectional (including main lobe and sidelobe region) approaching expected pattern in MIMO radar simultaneously.Some existing methods can be regarded as special cases under this framework.Secondly, the desired pattern is approximated in the main lobe region, and the sidelobe region can be controlled to a certain value. For this reason, a class of MIMO radar pattern synthesis is proposed, which can control the main lobe and sidelobe region separately.It includes three specific design methods, the purpose of which is to ensure that the desired region signal is transmitted without distortion, and to keep the sidelobe below the predetermined threshold value. (2) Wideband MIMO radar waveform design with unidirectional and wide angle.Firstly, considering the single mode or low peak to average ratio (PAPR) characteristics of the designed waveform, a waveform design method based on unidirectional emission pattern synthesis is proposed.Secondly, around the wide angle, wideband MIMO radar pattern synthesis, a hybrid norm wide angle emission pattern synthesis method is proposed, which is compared with the latest WBFIT method.The proposed method is used to design the DOA of the stationary target and the amplitude estimation of the reflected signal of the main lobe in the wideband frequency band, and the sidelobe is controlled below the expected value of -40dB.An adaptive parameter estimation method based on sparse representation is proposed to solve the problem that Capon and APES can not obtain high resolution and accurate amplitude estimation at the same time.Compared with LS, Capon and APESs, the proposed method can also provide accurate range azimuth Doppler 3D parameter estimation of moving targets in the case of 胃 -25 擄and 胃 3 ~ (-21 擄).An iterative repeated weighted LQ minimization method is proposed for the range azimuth Doppler 3D estimation of moving targets.Compared with repeated weighted L1 norm, the proposed method does not need to be solved by convex optimization software, but only through multiple iterations to provide accurate three-dimensional estimation of the target, compared with Das, the latest IAA and IAA-R.The proposed method can obtain accurate estimation not only at the real position of the range-azimuth two-dimensional cross section, but also at the range-Doppler unit.The waveform design and parameter estimation of MIMO radar presented above have been simulated using MIMO radar simulation data, and the validity of the new method has been verified.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN957.51
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本文編號(hào)：1728809