發(fā)布時(shí)間：2019-02-09 17:30

【摘要】：在陣列信號(hào)處理中,信號(hào)源個(gè)數(shù)的估計(jì)在空間譜估計(jì)起著關(guān)鍵作用,當(dāng)估計(jì)的信源個(gè)數(shù)與真實(shí)的信源個(gè)數(shù)不一致時(shí),信號(hào)來(lái)波方向(DOA)估計(jì)算法的性能急劇惡化。因此,準(zhǔn)確的估計(jì)出信源個(gè)數(shù)意義重大。當(dāng)實(shí)際噪聲不滿足白噪聲模型時(shí),傳統(tǒng)的高分辨方法的性能將會(huì)下降。針對(duì)現(xiàn)有算法在空間色噪聲環(huán)境下,信源數(shù)接近陣元數(shù)甚至超過(guò)陣元數(shù)時(shí)估計(jì)性能下降問(wèn)題,提出了適用于均勻圓陣條件下基于虛擬陣列的信號(hào)源個(gè)數(shù)估計(jì)算法,論文的主要內(nèi)容包括:1.以MUSIC空間譜算法為例,分別研究了信源的錯(cuò)誤估計(jì)對(duì)DOA性能的影響;對(duì)常規(guī)信源數(shù)估計(jì)算法簡(jiǎn)要說(shuō)明,并驗(yàn)證陣元個(gè)數(shù),色噪聲相關(guān)度、信噪比、快拍數(shù)等條件變化對(duì)信源個(gè)數(shù)估計(jì)性能的影響。2.針對(duì)信源數(shù)接近陣元數(shù),現(xiàn)有很多算法因自由度不夠?qū)е缕涔烙?jì)性能下降,對(duì)原始陣列虛擬增加陣元數(shù),提高陣元自由度增加可檢測(cè)的信號(hào)源數(shù)目的可能。本文理論分析了內(nèi)插變換和四階累積量的虛擬天線技術(shù),通過(guò)仿真實(shí)驗(yàn),驗(yàn)證了虛擬陣列增加陣列自由度性能。為了解決四階累積量中存在冗余信息問(wèn)題,本文通過(guò)陣元坐標(biāo)矢量信息,直接構(gòu)造適用于均勻圓陣下去冗余的四階累積量矩陣,并在白噪聲下結(jié)合蓋爾圓盤(pán)準(zhǔn)則驗(yàn)證了陣列擴(kuò)展對(duì)信源個(gè)數(shù)估計(jì)性能的影響。3.針對(duì)色噪聲環(huán)境的不確定性,以及有限快拍下四階累積量矩陣構(gòu)造缺陷,在信源數(shù)接近陣元數(shù)時(shí),信號(hào)蓋爾圓盤(pán)和噪聲蓋爾圓盤(pán)沒(méi)有明顯區(qū)分,造成調(diào)整因子敏感,影響估計(jì)性能。利用蓋爾圓盤(pán)準(zhǔn)則和四階累積量都能一定程度的克服色噪聲影響,提出了一種適用于均勻圓陣條件下基于去冗余的四階累積量矩陣的蓋爾圓盤(pán)改進(jìn)算法,避免了人為因素的影響設(shè)計(jì)了自動(dòng)調(diào)整因子的方法。最后通過(guò)理論數(shù)據(jù)仿真以及實(shí)測(cè)數(shù)據(jù)驗(yàn)證了本文算法的有效性,并對(duì)本文提出的算法進(jìn)行了一個(gè)復(fù)雜度的評(píng)估。4.利用Kintex-7系列的FPGA實(shí)現(xiàn)信源個(gè)數(shù)估計(jì)算法。分別對(duì)每個(gè)算法模塊進(jìn)行了FPGA實(shí)現(xiàn)分析,最后進(jìn)行了系統(tǒng)資源評(píng)估,并在外場(chǎng)環(huán)境實(shí)驗(yàn)下進(jìn)行了FPGA測(cè)試分析,驗(yàn)證了系統(tǒng)的正確性。本文提出的方法具體表現(xiàn)在兩方面,一方面,在均勻圓陣條件下去冗余后的四階累積量產(chǎn)生的虛擬陣元能夠彌補(bǔ)蓋爾圓盤(pán)中當(dāng)信源數(shù)接近陣元數(shù)時(shí)系統(tǒng)自由度不夠的缺陷;另一方面,矩陣中噪聲特征值發(fā)散的問(wèn)題則可通過(guò)對(duì)蓋爾圓法中半徑壓縮的改進(jìn)得到克服。
[Abstract]:In array signal processing, the estimation of the number of signal sources plays a key role in the spatial spectrum estimation. When the estimated number of sources is not consistent with the number of real sources, the performance of the (DOA) estimation algorithm for the direction of signal arrival is sharply deteriorated. Therefore, accurate estimation of the number of sources is of great significance. When the actual noise does not satisfy the white noise model, the performance of the traditional high resolution method will decline. Aiming at the problem of the performance degradation of the existing algorithms when the number of sources is close to or even exceeds the number of array elements in the environment of spatial color noise, an algorithm for estimating the number of signal sources based on virtual array under uniform circular array is proposed. The main contents of this paper are as follows: 1. Taking MUSIC spatial spectrum algorithm as an example, the effect of source error estimation on DOA performance is studied. This paper gives a brief description of the conventional source number estimation algorithm, and verifies the effect of the number of array elements, the correlation degree of color noise, the signal-to-noise ratio and the number of rapids on the performance of the estimation of the number of sources. 2. Since the number of sources is close to the number of array elements, many existing algorithms have the possibility of increasing the number of array elements and the number of detectable signal sources by increasing the number of array elements virtual for the original array due to the lack of degree of freedom. In this paper, the interpolation transformation and fourth-order cumulant virtual antenna technology are theoretically analyzed. The performance of the virtual array to increase the degree of freedom of the array is verified by simulation experiments. In order to solve the problem of redundant information in fourth-order cumulant, a fourth-order cumulant matrix suitable for redundancy of uniform circular array is constructed directly by means of coordinate vector information of array elements. The effect of array expansion on the performance of source number estimation is verified by combining the Gale disk criterion with white noise. 3. 3. In view of the uncertainty of the color noise environment and the defect of constructing the fourth-order cumulant matrix under the finite fast shooting, when the source number is close to the array element number, there is no obvious difference between the signal Gaelic disk and the noise Gaelic disk, which results in the sensitivity of the adjustment factor. Influence estimation performance. Using the Gale disk criterion and the fourth order cumulant to overcome the influence of color noise to a certain extent, an improved Gale disk algorithm based on the deredundant fourth order cumulant matrix is proposed for uniform circular array. The method of automatic adjustment factor is designed to avoid the influence of human factors. Finally, the effectiveness of the proposed algorithm is verified by theoretical data simulation and measured data, and the complexity of the proposed algorithm is evaluated. 4. The number of sources is estimated by FPGA of Kintex-7 series. The implementation of each algorithm module is analyzed by FPGA, and the system resource is evaluated. The correctness of the system is verified by FPGA test and analysis in the field environment. The method presented in this paper is shown in two aspects. On the one hand, the virtual array elements generated by the fourth order cumulant after removing redundancy under the condition of uniform circular array can make up for the deficiency of the system degree of freedom when the number of information sources is close to the number of array elements in Gale disk; On the other hand, the divergence of noise eigenvalues in matrix can be overcome by the improvement of radius compression in Gaelic circle method.
【學(xué)位授予單位】：廣東工業(yè)大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN911.23

【參考文獻(xiàn)】

相關(guān)期刊論文 前10條

1 成瑋;張周鎖;何正嘉;;采用信息理論準(zhǔn)則的信號(hào)源數(shù)估計(jì)方法及性能對(duì)比[J];西安交通大學(xué)學(xué)報(bào);2015年08期

2 王鼎;;Performance of cumulant-based rank reduction estimator in presence of unexpected modeling errors[J];Journal of Central South University;2015年03期

3 Lei Shen;Zhiwen Liu;Xiaoming Gou;Yougen Xu;;Polynomial-rooting based fourth-order MUSIC for direction-of-arrival estimation of noncircular signals[J];Journal of Systems Engineering and Electronics;2014年06期

4 周?chē)?王新青;賈娜;;基于四階累積量擴(kuò)展孔徑的寬帶信源測(cè)向算法[J];電波科學(xué)學(xué)報(bào);2014年04期

5 董姝敏;梁國(guó)龍;;改進(jìn)的蓋爾圓源數(shù)目估計(jì)方法[J];哈爾濱工程大學(xué)學(xué)報(bào);2013年04期

6 趙匯強(qiáng);張玉萍;趙波;全厚德;;基于虛擬陣列的信號(hào)源數(shù)估計(jì)算法[J];火力與指揮控制;2010年12期

7 陸建明;;基于最小二乘虛擬陣元的解模糊方法[J];電子科技;2009年11期

8 冷巨昕;張揚(yáng);唐斌;;高階累積量在欠定盲源分離中信源數(shù)目估計(jì)的應(yīng)用[J];現(xiàn)代電子技術(shù);2009年17期

9 舒象蘭;韓樹(shù)平;周智勇;馬鑫;;基于高階累積量的信源數(shù)目估計(jì)方法[J];魚(yú)雷技術(shù);2009年01期

10 李京華;周海燕;許家棟;李紅娟;;基于MDL比值的戰(zhàn)場(chǎng)目標(biāo)個(gè)數(shù)盲估計(jì)算法[J];西北工業(yè)大學(xué)學(xué)報(bào);2008年06期

相關(guān)碩士學(xué)位論文 前1條

1 馬瑞峰;基于北斗導(dǎo)航定位系統(tǒng)的偽衛(wèi)星技術(shù)研究[D];西北工業(yè)大學(xué);2005年

，

本文編號(hào)：2419215