發(fā)布時(shí)間：2018-05-18 19:51

  本文選題：空間譜估計(jì) + 快速迭代��； 參考：《電子科技大學(xué)》2014年碩士論文

【摘要】：現(xiàn)代電子戰(zhàn)中的戰(zhàn)場(chǎng)電磁環(huán)境復(fù)雜多變,傳統(tǒng)無源測(cè)向技術(shù)在某些情況下已不能滿足人們的要求。與傳統(tǒng)的測(cè)向技術(shù)相比,空間譜估計(jì)測(cè)向技術(shù)具有測(cè)向精度高、測(cè)向分辨能力強(qiáng)等特點(diǎn)。然而,空間譜估計(jì)在電子戰(zhàn)中的實(shí)用化還面臨著諸多難題。本文主要針對(duì)普通空間譜估計(jì)不能快速求解計(jì)算以及不能對(duì)相干信號(hào)進(jìn)行估計(jì)的兩個(gè)難點(diǎn)進(jìn)行討論,研究適用于現(xiàn)代電子戰(zhàn)中的空間譜估計(jì)算法。本論文的主要研究?jī)?nèi)容如下:首先分析了空間譜估計(jì)測(cè)向系統(tǒng)的基本結(jié)構(gòu)以及均勻線陣的接收信號(hào)數(shù)學(xué)模型,為空間譜估計(jì)算法提供理論基礎(chǔ)。然后分別理論推導(dǎo)了空間譜估計(jì)中最常見的最小方差無失真響應(yīng)算法和多重信號(hào)分類算法,并進(jìn)行DOA(Direction Of Arrival)估計(jì)仿真。仿真結(jié)果表明多重信號(hào)分類算法的性能要優(yōu)于最小方差無失真響應(yīng)算法。結(jié)合自適應(yīng)信號(hào)處理和波束零陷的原理,提出了能通過快速迭代方式完成求解的波束零陷DOA估計(jì)算法,并與多重信號(hào)分類算法對(duì)比,并在計(jì)算機(jī)上進(jìn)行DOA估計(jì)仿真和不同信噪比下精度統(tǒng)計(jì)仿真。仿真結(jié)果表明,波束零陷DOA估計(jì)算法與多重信號(hào)分類算法一樣都能估計(jì)出信號(hào)的入射方向;在特定的環(huán)境下,波束零陷DOA估計(jì)算法的估計(jì)精度與多重信號(hào)分類算法相當(dāng),但運(yùn)算量遠(yuǎn)遠(yuǎn)小于比后者。分析了目前較常用的空間平滑處理解相干算法,在此基礎(chǔ)上對(duì)波束零陷DOA估計(jì)算法進(jìn)行改進(jìn),得到了基于波束零陷DOA估計(jì)的空間平滑解相干算法,同時(shí)對(duì)比空間平滑的多重信號(hào)分類算法,在計(jì)算機(jī)上進(jìn)行相干信號(hào)的DOA估計(jì)仿真。仿真結(jié)果表明,改進(jìn)后的算法與空間平滑處理后的多重信號(hào)分類算法一樣,在譜函數(shù)中相干信號(hào)的入射方向上都能形成譜峰,且改進(jìn)后的算法求解方式比后者簡(jiǎn)捷。本論文提出的波束零陷DOA估計(jì)算法有效地解決了大多數(shù)普通空間譜估計(jì)算法不能快速求解計(jì)算的問題,同時(shí)改進(jìn)后的解相干算法有效地解決了大多數(shù)普通空間譜估計(jì)算法不能對(duì)相干信號(hào)進(jìn)行DOA估計(jì)的問題。
[Abstract]:The electromagnetic environment in the battlefield of modern electronic warfare is complex and changeable, and the traditional passive direction finding technology can not meet the demands of people in some cases. Compared with the traditional direction finding technique, the space spectrum estimation and direction finding technique has the characteristics of high direction finding precision and strong direction finding resolution. However, the practicability of space spectrum estimation in electronic warfare is still faced. In this paper, the main research contents of this paper are as follows: firstly, the basic structure of the spatial spectrum estimation direction finding system is analyzed. The main research contents of this paper are as follows: first, the basic structure of the spatial spectrum estimation system is analyzed. The mathematical model of the receiving signal of uniform linear array provides the theoretical basis for the spatial spectrum estimation algorithm. Then the most common minimum variance undistorted response algorithm and multiple signal classification algorithm are derived respectively in the spatial spectrum estimation, and the DOA (Direction Of Arrival) is used to estimate the imitation truth. It is superior to the minimum variance undistorted response algorithm. Combining the principle of adaptive signal processing and beam nulling, a beam null DOA estimation algorithm which can be solved through fast iteration is proposed and compared with the multiple signal classification algorithm. The simulation of DOA estimation and the simulation of accuracy under different signal to noise ratio are carried out on the computer. The results show that the beam null DOA estimation algorithm can estimate the incidence direction of the signal as well as the multiple signal classification algorithm. In a specific environment, the estimation precision of the beam null DOA estimation algorithm is equivalent to the multiple signal classification algorithm, but the computation is far less than the latter. On this basis, the algorithm of beam zero subsidence DOA estimation is improved, and the spatial smoothing algorithm based on the beam zero trapping DOA estimation is obtained. At the same time, the spatial smoothing multiple signal classification algorithm is compared, and the DOA estimation of coherent signals is simulated on the computer. The simulation results show that the improved algorithm and the spatial smoothing are processed. As for the multiple signal classification algorithm, the spectral peak can be formed in the incidence direction of the coherent signal in the spectral function, and the improved algorithm is simpler than the latter. The proposed beam zero DOA estimation algorithm can effectively solve the problem that most common spatial spectral estimation algorithms can't solve fast computation, and the improved solution is improved. The coherent algorithm effectively solves the problem that most ordinary spatial spectrum estimation algorithms can not estimate the DOA of coherent signals.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2014
【分類號(hào)】：TN911.23

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本文編號(hào)：1906980