本文選題：寬帶波束形成 + 恒定束寬��； 參考：《南京理工大學(xué)》2017年碩士論文

【摘要】：自適應(yīng)波束形成可以通過對接收信號的處理,更有效地提取有用信號,同時抑制干擾,在雷達(dá)、通信等系統(tǒng)中廣泛應(yīng)用。隨著寬帶信號處理技術(shù)的發(fā)展,寬帶自適應(yīng)波束形成技術(shù)成為了陣列信號處理領(lǐng)域的研究熱點之一。然而,由于寬帶信號包含大量頻率分量,寬帶波束形成存在輸出頻率一致性差和計算復(fù)雜度高兩個主要問題。本文圍繞恒定束寬寬帶波束形成和降復(fù)雜度的自適應(yīng)波束形成技術(shù)展開研究,主要工作如下:1.分析對比了寬帶波束形成的頻域、抽頭延遲線(TDL)和陣元延遲線(SDL)結(jié)構(gòu)。介紹了一種新的基于空間響應(yīng)偏差(SRV)因子的線性約束最小方差(LCMV)算法,提高了輸出的頻率不變性,同時研究了該算法中權(quán)重因子對抗干擾性能和頻率不變性的影響。2.研究了基于波束空間的寬帶波束形成算法,基于最新的頻率不變波束形成器(FIB)提出了一種新的轉(zhuǎn)換矩陣設(shè)計方法,提高了輸出方向圖的頻率一致性。介紹了一種基于FIB的波束空間處理結(jié)構(gòu),同時針對波束不完全正交問題引入了特征分解技術(shù),在保證恒定束寬的同時提高了抗干擾能力。3.研究了多級維納濾波器(MSWF)和聯(lián)合迭代優(yōu)化(JIO)兩種降秩結(jié)構(gòu),介紹了利用遞歸最小二乘(RLS)算法求解JIO結(jié)構(gòu)目標(biāo)函數(shù)的方法,同時基于最小均方(LMS)算法推導(dǎo)了新的JIO結(jié)構(gòu)迭代公式,進(jìn)一步降低了計算復(fù)雜度。此后,提出了新的加入SRV因子的JIO-LMS算法,提高了輸出方向圖的頻率不變性。4.基于北斗導(dǎo)航抗干擾系統(tǒng),將基于TDL結(jié)構(gòu)的寬帶自適應(yīng)波束形成算法在DSP上實現(xiàn),并通過系統(tǒng)實驗驗證了算法的性能。
[Abstract]:Adaptive beamforming can extract useful signals more effectively and suppress interference by processing received signals. It is widely used in radar, communication and other systems. With the development of wideband signal processing technology, wideband adaptive beamforming technology has become one of the hotspots in the field of array signal processing. However, because wideband signals contain a large number of frequency components, there are two main problems in wideband beamforming: poor output frequency consistency and high computational complexity. This paper focuses on the constant beamwidth wideband beamforming and adaptive beamforming with reduced complexity. The main work is as follows: 1. The structure of broadband beamforming in frequency domain, tap delay line (TDL) and array element delay line (SDL) is analyzed and compared. This paper introduces a new linear constrained minimum variance (LCMV) algorithm based on spatial response deviation (SRV) factor, which improves the frequency invariance of output. At the same time, the influence of weight factor on anti-jamming performance and frequency invariance is studied. Broadband beamforming algorithm based on beamspace is studied. Based on the latest frequency invariant beamforming (FIB), a new design method of conversion matrix is proposed to improve the frequency consistency of the output pattern. A beamspace processing structure based on FIB is introduced in this paper. The eigen-decomposition technique is introduced to solve the problem of incomplete orthogonal beam-beam, which ensures the constant beam width and improves the anti-jamming ability. In this paper, two kinds of rank reduction structures, multistage Wiener filter (MSWF) and joint iterative optimization (JIO), are studied. The method of solving the objective function of JIO structure by using the recursive least squares algorithm is introduced. At the same time, based on the least mean square (LMS) algorithm, a new iterative formula of JIO structure is derived. The computational complexity is further reduced. After that, a new JIO-LMS algorithm with SRV factor is proposed to improve the frequency invariance of the output pattern. 4. Based on Beidou navigation anti-jamming system, the wideband adaptive beamforming algorithm based on TDL structure is implemented on DSP, and the performance of the algorithm is verified by system experiments.
【學(xué)位授予單位】：南京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TN911.7;TN967.1

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