本文選題：極化域-空域　切入點(diǎn)：參數(shù)估計(jì)　出處：《電子科技大學(xué)》2016年碩士論文　論文類型：學(xué)位論文

【摘要】：相較于傳統(tǒng)的標(biāo)量陣列,極化陣列最大的優(yōu)勢是可以利用信號的極化信息,進(jìn)一步提高參數(shù)估計(jì)精度和干擾抑制性能。但目前對極化陣列信號處理的方法大多是傳統(tǒng)標(biāo)量陣列信號處理方法的直接搬移,并沒有太多針對極化陣列特殊結(jié)構(gòu)的研究,且大部分的工作是進(jìn)一步研究提高極化矢量陣列信號處理性能的方法。針對這一問題,本文將對極化域-空域聯(lián)合的參數(shù)估計(jì)和波束形成方法進(jìn)行研究,并基于四元數(shù)模型充分利用極化陣元分量間的正交結(jié)構(gòu),研究高效低復(fù)雜度的參數(shù)估計(jì)和干擾抑制新方法,并采用計(jì)算機(jī)仿真實(shí)驗(yàn)來加以驗(yàn)證。針對相干信號源的參數(shù)估計(jì)問題,基于四元數(shù)模型給出四元數(shù)空間平滑算法和四元數(shù)Toeplitz矩陣重構(gòu)算法,在此基礎(chǔ)上提出改進(jìn)的四元數(shù)空間平滑算法和改進(jìn)的四元數(shù)矢量重構(gòu)算法,并給出兩種算法實(shí)現(xiàn)解相干的推導(dǎo)過程。仿真實(shí)驗(yàn)結(jié)果表明,改進(jìn)的解相干算法具有更好的參數(shù)估計(jì)性能和更好的空間分辨率,且矢量矩陣重構(gòu)算法不以損失陣列有效孔徑為代價(jià),與空間平滑算法相比,可以實(shí)現(xiàn)更多相干信號的參數(shù)估計(jì)。針對非相干信號源的參數(shù)估計(jì)問題,由于極化信息的引入,陣列信號處理的維數(shù)從純空域轉(zhuǎn)變到極化域-空域的聯(lián)合處理,導(dǎo)致算法的計(jì)算量明顯增加。針對這一問題,研究降維MUSIC算法,在充分應(yīng)用極化域信息和空域信息的前提下,將極化信息和空域信息剝離,分別采用MUSIC算法得到DOA估計(jì)和極化參數(shù)估計(jì),在一定程度上降低算法的運(yùn)算量。在此基礎(chǔ)上,提出極化域-空域聯(lián)合的模值約束降維Root-MUSIC算法,先采用Root-MUSIC算法求出波達(dá)方向角,再根據(jù)模值約束條件建立優(yōu)化函數(shù),通過閉合式解求得極化參數(shù)。將該算法應(yīng)用于極化均勻線陣和L型陣列,通過對計(jì)算量的對比分析和仿真實(shí)驗(yàn),驗(yàn)證該算法的優(yōu)越性能。針對極化域-空域聯(lián)合濾波,介紹聯(lián)合濾波的原理和濾波性能的分析,給出最大輸出信干噪比的表達(dá)式。基于特征子空間的思想,提出四元數(shù)投影波束形成算法,并給出幅相誤差、耦合誤差和位置誤差的建模;在理想情況和存在誤差的情況下,分析該算法的濾波性能。仿真實(shí)驗(yàn)對比四元數(shù)投影波束形成算法和四元數(shù)MVDR算法在理想情況和誤差情況下的濾波性能,表明四元數(shù)投影波束形成算法的濾波性能優(yōu)于四元數(shù)MVDR算法,能夠在一定程度上減小誤差帶來的影響。
[Abstract]:Compared with the traditional scalar array, the biggest advantage of the polarization array is that it can make use of the polarization information of the signal. The precision of parameter estimation and the performance of interference suppression are further improved. However, at present, most of the signal processing methods of polarimetric array are the direct shift of the traditional scalar array signal processing methods, and there is not much research on the special structure of the polarized array. And most of the work is to further study the method to improve the signal processing performance of polarization vector array. In view of this problem, this paper will study the parameter estimation and beamforming method of polarization-spatial joint. Based on the quaternion model, a new method of parameter estimation and interference suppression with high efficiency and low complexity is studied by making full use of the orthogonal structure between the components of polarization array. To solve the parameter estimation problem of coherent signal source, a quaternion spatial smoothing algorithm and a quaternion Toeplitz matrix reconstruction algorithm are presented based on quaternion model. On this basis, an improved quaternion space smoothing algorithm and an improved quaternion vector reconstruction algorithm are proposed. The improved decoherence algorithm has better parameter estimation performance and better spatial resolution, and the vector matrix reconstruction algorithm does not take the loss of effective aperture of the array as the cost, compared with the spatial smoothing algorithm. For the parameter estimation of incoherent signal sources, the dimension of array signal processing changes from pure spatial domain to joint processing in polarization-spatial domain due to the introduction of polarization information. In view of this problem, the dimensionality reduction MUSIC algorithm is studied, and the polarimetric information and spatial information are separated under the premise of fully applying the polarization domain information and the spatial domain information. DOA estimation and polarization parameter estimation are obtained by using MUSIC algorithm respectively, which reduces the computational complexity of the algorithm to a certain extent. On this basis, a modular constraint reduced dimension Root-MUSIC algorithm based on polarization domain and spatial domain is proposed. First, the DOA of arrival is obtained by using Root-MUSIC algorithm. Then the optimization function is established according to the mode constraint condition, and the polarization parameters are obtained by the closed solution. The algorithm is applied to the polarization uniform linear array and the L-shaped array. Through the comparison and analysis of the calculation amount and the simulation experiment, the algorithm is applied to the polarization uniform linear array and the L-shaped array. The principle of joint filtering and the analysis of filtering performance are introduced, and the expression of maximum output signal-to-noise ratio is given, based on the idea of feature subspace. A quaternion projection beamforming algorithm is proposed, and the modeling of amplitude and phase error, coupling error and position error is given. The filtering performance of this algorithm is analyzed. The filtering performance of quaternion projection beamforming algorithm and quaternion MVDR algorithm is compared with that of quaternion MVDR algorithm under ideal and error conditions. It is shown that the filtering performance of the quaternion projection beamforming algorithm is better than that of the quaternion MVDR algorithm and can reduce the influence of the error to a certain extent.
【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】：TN911.7

【參考文獻(xiàn)】

相關(guān)碩士學(xué)位論文 前2條

1 王群;基于極化敏感陣列的DOA估計(jì)算法研究[D];吉林大學(xué);2011年

2 徐麗娜;基于極化敏感陣列的TDD CDMA系統(tǒng)多參數(shù)聯(lián)合估計(jì)算法研究[D];吉林大學(xué);2008年

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本文編號：1637657