本文關(guān)鍵詞：雷達(dá)信號截獲關(guān)鍵技術(shù)研究　出處：《南京航空航天大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： DOA估計 空間譜插值 解模糊 空域濾波 多參數(shù)聯(lián)合估計

【摘要】：本文研究了雷達(dá)信號截獲中的一些關(guān)鍵技術(shù),對同時到達(dá)的雷達(dá)脈沖信號,圍繞DOA分選技術(shù),進(jìn)行了深入探討。本文研究內(nèi)容主要包括雷達(dá)信號脈內(nèi)分析技術(shù)、雷達(dá)信號DOA估計技術(shù)以及雷達(dá)信號多參數(shù)聯(lián)合估計技術(shù)。在雷達(dá)信號的DOA參數(shù)截獲方面,針對經(jīng)典MUSIC算法運算復(fù)雜度較高的缺點,文中提出了一種基于空間譜插值的DOA估計算法,該算法通過對時域累加離散空間譜進(jìn)行一次插值運算,可得到真實譜峰位置的高效估計,顯著提高算法性能,且運算復(fù)雜度低,可在硬件上實現(xiàn)并行、流水線操作。針對空間譜估計方法中信號源波長對陣元間距的限制,本文引入了相位干涉儀測向技術(shù),首先給出相位干涉儀原理及鑒相算法,重點研究了相位解模糊方法。在雙基線解模糊的基礎(chǔ)上研究了基線比值法相位解模糊算法,該算法先在無模糊范圍內(nèi)確定各雙基線的所有相位模糊數(shù)解,然后利用公共基線的解逐步縮小范圍,最后確定各基線的唯一解以實現(xiàn)解相位模糊。在雷達(dá)信號的多參數(shù)聯(lián)合估計方面,本文首先討論了基于多時延ESPRIT算法的DOA與頻率聯(lián)合估計算法并對其進(jìn)行改進(jìn),改進(jìn)算法在同等計算復(fù)雜度的條件下不僅改善了信號DOA的估計性能,并且實現(xiàn)了DOA與頻率的自動匹配,提高了算法的適應(yīng)性。其次研究一種空域濾波引導(dǎo)的信號DOA、頻率以及TOA聯(lián)合估計方法,當(dāng)多部雷達(dá)信號從不同方向同時到達(dá)接收陣列時,在全盲條件下通過參考頻率對DOA進(jìn)行預(yù)估計并利用其形成的導(dǎo)向矢量實現(xiàn)空域濾波,完成信源分離后依次進(jìn)行信號頻率和到達(dá)時間估計,并對DOA預(yù)估計值進(jìn)行校準(zhǔn)。該方法不僅可以實現(xiàn)參數(shù)的自動匹配,而且計算量遠(yuǎn)遠(yuǎn)小于頻域濾波等算法,具有較高應(yīng)用價值。
[Abstract]:In this paper, some key techniques in radar signal interception are studied. The simultaneous arrival of radar pulse signals is surrounded by DOA sorting technology. The research content of this paper mainly includes the radar signal intra-pulse analysis technology. Radar signal DOA estimation technology and radar signal multi-parameter joint estimation technology. In the aspect of radar signal DOA parameter interception, the classical MUSIC algorithm has a high computational complexity. In this paper, a DOA estimation algorithm based on spatial spectral interpolation is proposed. The algorithm can estimate the peak position of real spectrum efficiently by interpolating the accumulated discrete spatial spectrum in time domain. It can achieve parallel operation in hardware and pipeline operation, aiming at the limitation of the distance between source wavelength and cell in the spatial spectrum estimation method. In this paper, phase interferometer direction finding technology is introduced. Firstly, the principle of phase interferometer and phase detection algorithm are given. On the basis of double baseline deblurring, the phase deblurring algorithm of base-line ratio method is studied. Firstly, all phase fuzzy number solutions of each bistatic line are determined in the non-fuzzy range of the algorithm. Then the solution of common baseline is gradually reduced and the unique solution of each baseline is determined to realize the resolution of phase ambiguity. In this paper, the joint estimation algorithm of DOA and frequency based on multi-delay ESPRIT algorithm is discussed and improved. Under the same computational complexity, the improved algorithm not only improves the performance of signal DOA estimation, but also realizes the automatic matching between DOA and frequency. The adaptability of the algorithm is improved. Secondly, a joint estimation method of signal load, frequency and TOA guided by spatial filtering is studied, when multiple radar signals arrive at the receiving array from different directions at the same time. The DOA is pre-estimated by the reference frequency under the all-blind condition, and the spatial filtering is realized by the guidance vector. The signal frequency and the time of arrival are estimated in turn after the source separation is completed. The DOA pre-estimated value is calibrated. This method can not only realize the automatic matching of the parameters, but also has much less computational complexity than the frequency-domain filtering algorithm, so it has a high application value.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN957.51
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本文編號：1418250